Average customer rating:
- Outstanding, sophisticated, unconventional classic
- Outstanding book, but you should buy the newer edition, not this version
- Buy the 2nd edition of this over Montgommery's Book
- Get a more recent title for the important modern advances
- very useful
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Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building
George E. P. Box ,
William G. Hunter ,
J. Stuart Hunter , and
William Gordon Hunter
Manufacturer: Wiley-Interscience
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Similar Items:
-
Statistics for Experimenters: Design, Innovation, and Discovery , 2nd Edition
-
Design and Analysis of Experiments
-
Doe Simplified 2E: Practical Tools for Effective Experimentation
-
Rath & Strong's Pocket Guide to Advanced Six Sigma Tools
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Design of Experiments for Engineers and Scientists
ASIN: 0471093157 |
Book Description
Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for ``statistical thinking'' by using examples drawn from actual case studies.
Customer Reviews:
Outstanding, sophisticated, unconventional classic.......2005-12-19
George E.P. Box, the senior author of this magnificent example of great teaching for adults, is one of the great statisticians of modern times. He is a master at teaching those with experience, especially industrial experience, but not necessarily the most advanced mathematical training. My own background in econometrics and decades of work experience left me in a position of having too little knowledge to apply sophisitcated statistical methods to experiments and too much knowledge to settle for the exposition of statistics in many experimental design texts, especially those for behavioral scientists. I had read some of Mr. Box's "Evolutionary Operation" [with Norman Draper] ("EvOp") (also outstanding, practical, and unusual) and looked at "Bayesian Inference in Statistical Analysis" [with George Tiao] ("BISA") and hoped the book was as practical as EvOp rather than as mathematical as BISA. It has turned out to be so without being unsophisticated.
Once you have mastered this, I am sure you will be prepared for many of the challenges of applying statistics to practical industrial and experimental situations and for more advanced and modern methods that have emerged since 1978 with the ubiquity of very cheap computing power.
What it may lack in the most contemporary methods it more than makes up for by helping the reader develop a good intuition for applying statistical methods and judgment.
Outstanding book, but you should buy the newer edition, not this version.......2005-07-27
All of the reviews on this book are generally consistent in their praise for the book and the authors. I do not have any points to add to the discussion other than this:
It is a credit to this version of Statistics for Experimenters that it has remained relevant throughout the years as a classic introductory text that has kept selling consistently since it was released in the 1970's. Nevertheless, unless you have a particular reason for purchasing this version, you should purchase the updated version(also available through Amazon).
The full title of the newer edition is:
Statistics for Experimenters: Design, Innovation, and Discovery, 2nd Edition
The 2nd edition, written in the same engaging and readable style as the 1st, contains virtually all of the content of the 1st edition plus advances in design of experiments that have happened since the 1st edition was published.
Buy the 2nd edition of this over Montgommery's Book.......2005-03-30
I used the Montgomery DOE book as an undergrad...but chatting with a Stat prof freind of mine..she recommened Box Hunter & Hunter over this. I had never covered the entire book..& was reading up on Factorial designs...I went ahead and bought Box Hunter & Hunter...(do wait & buy the 2nd edition due out in May-I think Amazon trys to sell you the old inventory if you are not careful)...nonetheless, the old edition I bought actually is much more intuitive and easy to follow that the "Design and Analysis of Experiments" book by Montgomery....I think its b/c the latter is written by an engineer..no offense to you out there...just that engineers cover so much material that there texts seem more "cookbook" like..here's how...w/ no too much intuition as to why ...probably catering to the engineer who has not the time to care about the why...I am thoutoughly enjoying the read...some of the quotes in hte book are pretty funny yet all the while relevant...
Get a more recent title for the important modern advances.......2004-05-05
A solid excellent DOE book, however due to it's age, it obviously does not cover more recent topics, such as mixture experiments. I've run into a few chemical engineers that have read only this book and have no idea what mixture experiments are, and why they are important in their DOE work. Also, I do not remember seeing any material on split-plot designs, and this topic is very important in industrial experimentation since most experiments are split-plots whether you know it or not, and you cannot evaluate them as normal. This is no fault of the book due to its publish date, but a newer book, such as Montgomery's or Hamada & Wu should also be read through to learn about the more recent advancements in DOE.
very useful.......2003-10-22
A great book to understand the theory and the application of statistics. The examples used in each chapter are very useful in understanding the concept.
I suggest this book to every researcher and instructer to keep it on their desks. "This" is the reference.
Book Description
Praise for the First Edition
"This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended."
—Short Book Reviews
"Of great interest to potential readers is the variety of fields that are represented in the examples: health care, financial, government, product marketing, and sports, to name a few."
—Journal of Quality Technology
"Alan Agresti has written another brilliant account of the analysis of categorical data."
—The Statistician
The use of statistical methods for categorical data is ever increasing in today's world. An Introduction to Categorical Data Analysis, Second Edition provides an applied introduction to the most important methods for analyzing categorical data. This new edition summarizes methods that have long played a prominent role in data analysis, such as chi-squared tests, and also places special emphasis on logistic regression and other modeling techniques for univariate and correlated multivariate categorical responses.
This Second Edition features:
- Two new chapters on the methods for clustered data, with an emphasis on generalized estimating equations (GEE) and random effects models
- A unified perspective based on generalized linear models
- An emphasis on logistic regression modeling
- An appendix that demonstrates the use of SAS® for all methods
- An entertaining historical perspective on the development of the methods
- Specialized methods for ordinal data, small samples, multicategory data, and matched pairs
- More than 100 analyses of real data sets and nearly 300 exercises
Written in an applied, nontechnical style, the book illustrates methods using a wide variety of real data, including medical clinical trials, drug use by teenagers, basketball shooting, horseshoe crab mating, environmental opinions, correlates of happiness, and much more.
An Introduction to Categorical Data Analysis, Second Edition is an invaluable tool for social, behavioral, and biomedical scientists, as well as researchers in public health, marketing, education, biological and agricultural sciences, and industrial quality control.
Customer Reviews:
A great reference! .......2007-08-01
Agresti's book 'Introduction to Categorical Data Analysis' has been very valuable for my research and understanding of logistics regression techniques. I am not a statistics major and so I greatly appreciate his use of examples to discuss the concepts. Rather than getting lost in equations with tons of vectors and matrices, Agresti's book focuses on the core concepts and methodologies you need to prepare your data, set up the models and interpret the results. The companion webpage has the SAS code for most of the examples so you can replicate what he did. Highly Recommended!
Informative and concise.......2006-02-25
Categorical Data Analysis covers the basics of categorical data in an informative and inclusive manner. It is understandable to most readers, and it follows in logical order.
An excellent introduction.......1999-11-24
The larger, older, more complex Agresti (to which many of the reviewers have referred) is written in formulas. His newer book, the subject of review, is written in words. For a large group of readers, "Introduction" is perfectly suitable. However, those who are really interested in the mathematical concepts, should buy the older Agresti title. My personal opinion is that they are good companions and that the introductory book is the place to start, unless you know that you will be unhappy with the light treatment of the mathematical issues.
Remove 1/3 of Agresti's big book, and you have this one........1999-09-10
Agresti took most of the material from his big book, _Categorical Data Analysis_, and took out all the justifications. What's left is _An Introduction to Categorical Data Analysis_, and no math. If you enjoy having results fed to you so that you can memorise then, read this book. Otherwise, I concur with the other reader: buy this book's big brother.
Clear, well written & dumbed-down for the math impaired........1999-06-19
Clear, concise,and extremely well written and edited ( in the 99% tail for Statistics books!). Great problems. Do them and you will learn quickly and easily. Contains a gem: A chapter on the modern history of Statistics including the egos, feuds, and angry debates and Pearson's great error, which he arrogantly refused to admit. But, a big disappointment: the book does NOT give enough formulas or guidance to the use the usual software. The author condescendingly underates the average user's math ability and understanding. Conclusion: The book is interesting, and can be read as a novel, but it is fluff --- you really can't use the book to use your software. Essentially an entertaining waste of time. Buy Agresti's industrial strength book, Categorial Data Analysis instead.
Book Description
Chris Olsen has teamed up with Roxy Peck and Jay Devore to create INTRODUCTION TO STATISTICS AND DATA ANALYSIS. Based on STATISTICS: THE EXPLORATION OF ANALYSIS AND DATA, Fourth Edition, this new book integrates the graphing calculator and includes expanded coverage of probability. This innovative book focuses on the analysis of real data to motivate the study of statistics. Traditional in structure yet modern in approach, this book places an increased emphasis on data collection and exploratory analysis.
Customer Reviews:
expensive but a good deal.......2007-03-02
This book came quickly and was the correct version of the one I needed for my class. It was about $40 less expensive on Amazon than it was at my university's bookstore, but it's still a lot of money. I'm not sure if it's my computer or the CD, but I can't get the SPSS program to run. Overall, this book/CD was what I expected it to be at a relatively good price.
Recommended by Authors for Fuller Treatment of Probability.......2006-11-15
The authors are renowned for their work in producing clear, modern, thought-provoking statistics textbooks. This book differs from Statistics: The Exploration and Analysis of Data, 5th Ed. in that it has a more expansive discussion of probability. It also differs from that title in having more specific calculator exercises, but has the same great features of all editions of all textbooks from the same authors. Prefer this title to Statistics: The Exploration and Analysis of Data, 5th Ed. if you want more detail and depth on probability, and more practice with using an electronic calculator to explore statistics.
Average customer rating:
- Excellent beginner's book
- For beginners, two books better than one
- Good for beginners
- A fabulous introduction to SAS essentials
- This is a good beginner's guide.
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Sas Applications Programming: A Gentle Introduction (Duxbury Series in Statistics & Decision Sciences)
Frank C. DiIorio
Manufacturer: WADSWORTH
ProductGroup: Book
Binding: Paperback
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ASIN: 0534923909 |
Book Description
Intended for use as a core text or to supplement any introductory or intermediate level statistics course, this book presents the basics of the SAS system in a well-paced, structured, non-threatening manner. It provides an introduction to the SAS system for data management, analysis, and reporting using the subset of the language ideally suited for beginning students, while at the same time serving as a useful reference for intermediate or advanced users. Students learn the language's power and flexibility with many real-world examples drawn from the author's industry experience. Beginning with an overview of the system, this text shows students how to read data, perform simple analyses, and produce simple reports. More complex topics are carefully introduced, guiding students to manage multiple datasets and write custom reports. More advanced statistical techniques such as correlation, regression, and analysis of variance are presented in later chapters.
Customer Reviews:
Excellent beginner's book.......2004-01-09
I used this book in grad school to refresh my very limited SAS knowledge for a course I was doing. I'd used other books during my undergrad days, but none of them was as helpful as this one. It's a good way for a beginner to ease themselves into SAS without getting tangled in the complexities.
Now, several years down the road with many years of experience as a SAS programmer, I still recommend this book to anyone who asks me to point them in the direction of a good book to use for learning SAS.
For beginners, two books better than one .......2003-08-23
I suggest getting both a book like this, for its greater comprehensivity, combined with another one (like 'SAS programming By Example') for its more user friendly accessibility, if you are a beginner. Both books can be used as a starting text, and having two books can be better than one, and each one complements the other.
Good for beginners.......2000-05-14
This is the best introductory SAS book I have seen. It introduces the basic SAS structure and programming statements. A good and detailed explanation is provided for DATA step vs. PROC, a topic that always proves to be difficult to grasp for SAS newbies.
The book starts with SAS terminology and logic, i.e., how SAS works its magic. It moves on to simple tasks such as reading in data, summarizing it, and displaying it. Then there are chapters on SAS programming elements (expressions, logic flows, etc.) as well as intermediate-advanced statements. The MERGE statement is explained very clearly.
Examples abound, although I feel that they are presented in a very confusing format -- often you can't tell if a block of text belongs to the main text or an example. The organization of the book is also a little confusing, esp. if you want to use it as a reference book (not recommended; stick with SAS manual set instead).
In short, this book provides an excellent ovewview of SAS. Read the chapters in sequence and you'll soon be on your way to happy SAS'ing!
A fabulous introduction to SAS essentials.......2000-01-18
If you are in need of data management or analysis, SAS is likely big on your list. This book gives extremely clear and useful introductions to how SAS is structured, how to manipulate and organize data, and some basic statistical procedures (descriptive statistics, ANOVA, OLS models, etc.) are also presented.
Official SAS manuals are usually bulky, complicated, and difficult to understand, particularly if you have little/no experience with SAS. This book can take a complete beginner through data set creation and manipulation into substantially more complex and important procedures and functions. As this is an introduction to the SAS system, the more advanced functions in SAS, such as SAS STAT, are not covered in any detail. However, in order to understand how to actually use SAS and manipulate data so as to employ these higher level procedures, this book is excellent.
This is the absolute best introduction on how to use the SAS system I have seen, but it has lots of useful information for people with some basic SAS knowledge as well. It is presented in the style of a textbook,with each section concluding with problems (with answers provided) that the aspiring SAS programmer can solve.
If you are just starting to look into SAS, I cannot recommend this book highly enough. 'If I was able to do it, anyone can.'
This is a good beginner's guide........1999-08-13
I went to the Fundamentals of SAS course held at the SAS Institute and was left in dire need of more information. This book was a first step. The exercises in the book were helpful and reinforcing. If you need more than brginner's knowledge, then you'll have to purchase another book but this is good to get started.
Book Description
Many statistical modelling and data analysis techniques can be difficult to grasp and apply, and it is often necessary to use computer software to aid the implementation of large data sets and to obtain useful results. S-Plus is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply a number of statistical methods, ranging from simple regression to time series or multivariate analysis. This text offers extensive coverage of many basic and more advanced statistical methods, concentrating on graphical inspection, and features step-by-step instructions to help the non-statistician to understand fully the methodology.
- Extensive coverage of basic, intermediate and advanced statistical methods
- Uses S-Plus, which is recognised globally as one of the most powerful and flexible statistical software packages
- Emphasis is on graphical data inspection, parameter estimation and model criticism
- Features hundreds of worked examples to illustrate the techniques described
- Accessible to scientists from a large number of disciplines with minimal statistical knowledge
- Written by a leading figure in the field, who runs a number of successful international short courses
- Accompanied by a Web site featuring worked examples, data sets, exercises and solutions
A valuable reference resource for researchers, professionals, lecturers and students from statistics, the life sciences, medicine, engineering, economics and the social sciences.
Customer Reviews:
Ambitious, but doesn't fully meet its ambitions.......2005-06-02
Mathematical level: Moderate
For the right audience, this is a very good book. The problem is finding the right audience. The book attempts to cover a lot of ground; in a typical graduate program in the social sciences, it would be at least 3 semesters worth, maybe more. But, if you've had the statistics, and need to learn S-Plus, this book offers a lot of good hints. The problem is that it doesn't teach S-Plus as give a lot of interesting examples, so you would also need an S-Plus book. Therefore, the right audience is someone who knows some statistics and some S-Plus, but wants to get some hints for both.
Teachers, students, and researchers - stop here!.......2004-06-13
This is far and away the best statistics book I have found for the non-statistician. As a researcher and introductory behavioral statistics teacher this book has proven invaluable to me.
Crawley explains the connecting ideas that foster understanding that so many others seem to omit. Teaching statistics graphically rather than formulaically using the free student version of s-plus, my students come away understanding the foundations of statistics including measures of central tendency, probability distributions, regression, and ANOVA.
The interesting thing is that when I need an introduction to survival analysis or non-linear regression, I'm able to pick up the same book. Crawley explains many more advanced analyses with the same care and thoroughness that he does the basics including log-linear analysis, mixed-effects models, Generalised linear models, and time series analysis to name but a few.
I originally picked up this book to learn how to conduct analyses using s-plus but what I found was so much more.
To those of you that are really only interested in learning s-plus this book does that elegantly as well and I prefer it to Venables and Ripley (Modern Applied Statistics with S). I suspect that statisticians will prefer the later title but if you are like me and want some help understanding the analysis and not just how to do it in s-plus then stick with this title.
Book Description
Statistics is a thought process. In this comprehensive introduction to statistical methods and data analysis, the process is presented utilizing a four-step approach: 1) gathering data, 2) summarizing data, 3) analyzing data, and 4) communicating the results of data analyses.
Customer Reviews:
very good book, but typos are annoying.......2007-10-08
the book is very good on application, no proofs, which is fine since the book doesn't try to be all things, BUT i am a bit disappointed at the number of typos for a book in its 5th ed. i'm just finishing the 4th chapter (skipping ch 1 & 2, so basically i've only read 2 chapters so far) for a class and have found the number of typos in the exercises to be quite annoying (especially for a text in its 5th edition!).
the text exercises make heavy use of prior exercise such as 4.xxx says see the prior exercises and that exercise says see another exercise ... is tolerable, but when in the course of chaining exercises one exercise references an exercise in error you start scratching your head and quickly become annoyed.
also, the students solution manual, which has been very helpful, is sometimes provides the different graph than requested in the text. eg. the text ask you to create a histogram and the solutions manual uses a normal probability graph. this isn't too big a deal, but it leaves you with the impression that changes were made to say the text exercises, but not updated in the solutions manual.
again, a good book, especially for those with minimal math background, but for the cost of the text and being in its 5th ed, the number of typos is a bit annoying.
excellent.......2004-11-26
this book is amazing good. although lack of proofs, the application side of the book is immense. Toones of good real life examples and things are explained in a very clear and simple way. Very easy to understand and in great details.
Must buy if you really interested in the application side of statistical methods which everyone should.
*Excellent* stats book for behavioral researchers.......2001-08-04
We used this as our primary textbook in a graduate psychology / consumer behavior research methods / data analyis class, and I found it to be an invaluable aid in statistical analysis. From simple measures such as z-scores, t-tests & f-tests, and chi-squares, to more in depth methods such as GLM, ANOVA, and regression, this book is clear and concise. While it can be slightly cursory at times as to the theoretical underpinnings underneath the data analysis methods being used, it is a very helpful book in understanding how to actually make the methods work, and more importantly, knowing which method to apply in which situation.
Untill Prof. Lattin releases his statistical analysis book for behavioral students, Ott's book is the #1 stat resource on my bookshelf.
Average customer rating:
- Good for seeing behind formulas..
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Statistics and Data Analysis: An Introduction
Andrew F. Siegel , and
Charles J. Morgan
Manufacturer: Wiley
ProductGroup: Book
Binding: Paperback
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ASIN: 0471574244 |
Book Description
Introductory statistics book for the non-technical person that integrates the traditional foundations of statistical inference with the more modern ideas of data analysis. The book is divided into three parts. Part One is concerned with data in general and with describing groups of numbers. Part Two develops the ideas of randomness, probability, and statistical inference. Part Three moves forward, applying these ideas to more complex data structures and the analysis of relationships.
Customer Reviews:
Good for seeing behind formulas.........2005-12-21
First beware: this book is introductory and is targeted towards those whose background does not cover a fair amount of calculus. Therefore if you are comfortable with calculus and following a bunch of formulas and assumptions expressed in math, and that is exactly what you want to do, go for other statistics books crafted towards engineers.
I am also an engineer and I wanted to get a grasp of the simple logic behind statistics and data analysis, and the narrative in this book presented an "easy reading". Although the formulas and methods might not help when reading some advanced books (I went on to reading simulation after this after reviewing another book crafted towards engineers), the insight remains and it gets easier to see the connections behind the formulas and various assumptions.
Book Description
The last two decades have seen structural equation modeling (SEM) emerge as a powerful data analysis tool for research in the social sciences, education, and psychology. With the advent of SEM computer programs such as LISREL and EQS, SEM has become a well-established and respected methodology. This book provides an introduction to the subject suitable for beginning graduate students. Its focus is on the basic concepts and applications of SEM within the social and behavioral sciences. The author develops SEM techniques by presenting linear regression, path analysis, confirmatory factor analysis, and then more general structural equation models. In doing so, he is able both to explain clearly the underlying statistical methodology in SEM whilst at the same time illustrate the use of SEM to analyse real data sets drawn from a number of different settings in the behavioral and social sciences.
Book Description
"The writing style is mature and experienced. There is noticeable care in the presentation of materials and appropriate sensitivity to the intended audience. . . . The book categorizes large bodies of wisdom in the conduct of survey research over the past half century and provides ''rules-of-thumb'' guidance to the production, analysis, and consumption of survey data."
--Steve Seitz, University of Illinois
"The authors have provided a well-written update of their textbook, which will be useful as a textbook or supplement in upper-division undergraduate or introductory graduate courses on survey research, statistical data analysis, or research design. The book provides readers with the knowledge that enables them to evaluate the results of survey research. It sensitizes the readers to potential problems that arise from flaws in research design, sampling, questionnaire construction, data collection, coding, data analysis techniques, and improper presentation or interpretation of findings."
--Mike Margolis, University of Cincinnati
Why should we believe the results of surveys based on relatively few interviews? What are the appropriate cautions in interpreting survey reports? Aimed at answering these questions, An Introduction to Survey Research, Polling, and Data Analysis, Third Edition describes how surveys are conducted in such a way that they can be believed, explains how to read statistical reports and analyze data, and provides guidelines that are useful in evaluating polls. Using frequent examples from contemporary, large national surveys and polls as well as from the media, the authors stress understanding tables thoroughly before moving to interval statistics. In addition, they cover survey design, sampling and question-writing steps, interviewing and coding strategies, and survey analysis from frequency distributions and cross-tabulations to control tables and correlation/regression. They also cover the ethics of survey research and how to read and write survey research reports. Readers of this book will learn to distinguish good from bad polls and to better design and conduct their own surveys and polls.
Customer Reviews:
Survey methods and madness in a simple, low-tech format.......2001-07-28
Surveys are everywhere and poll results are a dime a dozen nowadays. Everyone has their poll statistics to share with you--on the news, in the paper, in magazines, oh, and of course, on the Internet. Have you ever wondered how they get those stratified samples, or how they get the +/- 4% error on those polls you read over coffee in the morning? This book gives you all the basics that you'll ever want to know if you want to interpret polls, polling data, survey data--or just plain understand all the political and behavioral conclusions that are drawn from surveys. If you're in college or grad school, or if you make your living by analyzing market research or survey data, this book is definitely worth the investment. If you actually want to conduct surveys of your own, it's a must-read! But, remember, it's pretty basic. It might not teach you all the statistical pixie dust that you'll need to analyze your data, but it will get you off to the proper start in setting up your research designs. Warning: methodology books can be mind-numbing. That's why I gave it only 4 stars. It's not nearly as mind-numbing as most in its genre, but, hey, it's a methodology book, so it's not exactly a dance on the rooftop.
Survey Overview.......2000-06-12
Statistical Analysis available book It is difficult of us to find statistical book about survey. It help us how to make survey sheet and survey analysis by statisitics. Other survey book is so muck expensive, but this is, I think, good for value. Well I recommend this book other people who try to survey and survey analysis.
Book Description
This text enables biomedical researchers to use a number of advanced statistical methods that have proven valuable in medical research, and uses a statistical software package (Stata® ) to avoid mathematics beyond the high school level. Intended for people who have had an introductory course in biostatistics, the volume emphasizes the assumptions underlying each method, using exploratory techniques to determine the most appropriate method. It presents results in a way that will be readily understood by clinical colleagues. Numerous real examples from medical literature and graphical methods are used to illustrate these techniques.
Download Description
This text will enable biomedical researchers to use a number of advanced statistical methods that have proven valuable in medical research. It is intended for people who have had an introductory course in biostatistics. A statistical software package (Stata) is used to avoid mathematics beyond the high school level. The emphasis is on understanding the assumptions underlying each method, using exploratory techniques to determine the most appropriate method, and presenting results in a way that will be readily understood by clinical colleagues. Numerous real examples from the medical literature are used to illustrate these techniques. Graphical methods are used extensively. Topics covered include linear regression, logistic regression, Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measures analysis of variance. Each method is introduced in its simplest form and is then extended to cover situations in which multiple explanatory variables are collected on each study subject.
Customer Reviews:
Good guide.......2006-03-04
If you are working with Stata this book will be a good help to understand the basic concepts of the multivarite analysis.
Accessible Intermediate Text.......2004-12-29
Dupont's "Statistical Modeling for Biomedical Researchers" is an accessible, straightforward, easy-to-read text for students and/or researchers w/ some elementary background in biostatistics. As previous reviewers have indicated, this is largely a problem-based text, so for those of you who seek a detailed theoretical explanation of the tools presented therein, you may want to look elsewhere. A major advantage, however, is Dupont's presentation of how to run the respective analyses using the statistical software package, Stata, although it should be noted that the syntax presented is for version 7 of Stata -- not version 8. Parenthetically, all of the code -- w/ the exception of the graphing commands -- are essentially the same between versions. In short, this text is a good introduction to some of the techniques typically not discussed in an elementary biostatistics course, although the book is best characterized as an invaluable adjunct to more theoretical, comprehensive biostatistics textbooks.
Very useful during statistics class.......2003-06-14
I used this book as the text for a biostatistics class that used STATA as the statistitical package. I found the organization, problems, and the STATA output the book provides, all very helpful. In addition, as I moved systematically through the book, the tips regarding using the STATA features were key to my learning many of the practical aspects of the STATA program.
Useful in conjuction with the manuals.......2003-05-21
As a non-statistician with some stat background, I find Dupont book a delightful book. It is packed with interesting and useful information. It starts at t-test and ends with GEE models, covering Cox model with time covariates along the way. But as the author noted, the book assumes some statistical knowledge and access to STATA maual. One minor note: While the book introduction asserts that it only assumes "high school mathematics" knowldege, the high school the author attended must be very different than the one I went to.
Buy this book if you like problem based learning.......2003-05-17
I have had the pleasure of using this book during a biostatistics level two course this year. The book is structured to assist in the course work in statistics using STATA. It is user friendly and gives mathematical explanations when appropriate but without losing the reader with too many equations. The book's approach uses problem based learning along with explanatory text which I found essential in learning to navigate STATA along with learning and understanding logistic regression, poisson regression etc. The best aspect of the book is the STATA output to assist with the problem solving. The book is a very good choice as an interactive tool for understanding advanced statistics using STATA.
Books:
- Stressed or Depressed: A Practical and Inspirational Guide for Parents of Hurting Teens
- Syndrome X: Overcoming the Silent Killer That Can Give You a Heart Attack
- Teach Yourself Electricity and Electronics, Fourth Edition (Teach Yourself)
- Technical Writing: Process and Product (5th Edition)
- The Absolute, Ultimate Guide to Lehninger Principles of Biochemistry, Third Edition, Study Guide and Solutions Manual
- The Basic Principles of Equine Massage/Muscle Therapy, Equine Massage, Horse Massage
- The Beck Diet Solution : Lose Weight with Confidence, Train Your Brain to Think Like a Thin Person
- The Care & Keeping of You: The Body Book for Girls (American Girl Library)
- The Care & Keeping of You: The Body Book for Girls (American Girl Library)
- The Case Against Darwin: Why the Evidence Should Be Examined
Books Index
Books Home
Recommended Books
- Robert the Bruce: King of Scots
- LIGHTING THE WAY: NINE WOMEN WHO CHANGED MODERN AMERICA
- Monkey Beach: A Novel
- I Learn from Children
- Hot Monogamy: Essential Steps to More Passionate, Intimate Lovemaking
- Introduction to Algorithms
- Living With Wolves
- A Celebration of Empire: A Centenary Souvenir of the Diamond Jubilee of Queen Victoria, 1837-1897
- Legal Aspects of Offshore Financial Law: Confidentiality in Offshore Financial Law and Trusts and Re
- Tickled to Death to Go: The Memoirs of a Cavalryman in World War 1
