Get Free Ebook Biostatistical Methods: The Assessment of Relative RisksBy John M. Lachin
As understood, publication is a great source to take when you are intending to do something, having trouble to address, or having task for deadline. It can be a friend for you to spend the time beneficially. Promo concerning this publication has remained in numerous methods. As below, we provide you're the Biostatistical Methods: The Assessment Of Relative RisksBy John M. Lachin due to the fact that it really offers impressive system of somebody to review it.
Biostatistical Methods: The Assessment of Relative RisksBy John M. Lachin
Get Free Ebook Biostatistical Methods: The Assessment of Relative RisksBy John M. Lachin
Are you excellent of Biostatistical Methods: The Assessment Of Relative RisksBy John M. Lachin that truly features just what you require currently? When you have actually not known yet regarding this publication, we advise this publication to check out. Reading this book doesn't indicate that you constantly need to be excellent reader or a very publication lover. Reading a book in some cases will certainly become the method for you to encourage or disclose what you are in confused. So currently, we actually invite this book to recommend not only for you however also all people.
When you need such book, Biostatistical Methods: The Assessment Of Relative RisksBy John M. Lachin, as the most effective book appearance in this day can be an alternative. Currently, we could aid you to obtain this book as your own. It is really easy and simple. By seeing this web page, it becomes the primary step to get the book. You need to discover the connect to download and most likely to the link. It will certainly not complicate as the various other site will do. In this situation, thinking about the page as the resource can make the factors of reading this publication enhance.
Currently, when you begin to read this Biostatistical Methods: The Assessment Of Relative RisksBy John M. Lachin, possibly you will consider exactly what you can get? Several things! In short we will certainly answer it, however, to understand what they are, you have to read this publication on your own. You recognize, by checking out continuously, you could feel not only far better however also brighter in the life. Checking out should be served as the routine, as pastime. So when you are expected to check out, you can conveniently do it. Besides, by reading this book, you could likewise conveniently make ea brand-new method to assume and also really feel well and also wisely. Yeah, life carefully as well as wisely is much needed.
This recommended book qualified Biostatistical Methods: The Assessment Of Relative RisksBy John M. Lachin will certainly have the ability to download and install conveniently. After obtaining the book as your option, you can take even more times and even few time to begin analysis. Page by web page may have excellent fertilizations to review it. Numerous factors of you will allow you to read it intelligently. Yeah, by reading this book as well as finish it, you can take the lesson of just what this book deal. Get it and dot it wisely.
Praise for the First Edition
". . . an excellent textbook . . . an indispensable reference for biostatisticians and epidemiologists."
—International Statistical Institute
A new edition of the definitive guide to classical and modern methods of biostatistics
Biostatistics consists of various quantitative techniques that are essential to the description and evaluation of relationships among biologic and medical phenomena. Biostatistical Methods: The Assessment of Relative Risks, Second Edition develops basic concepts and derives an expanded array of biostatistical methods through the application of both classical statistical tools and more modern likelihood-based theories. With its fluid and balanced presentation, the book guides readers through the important statistical methods for the assessment of absolute and relative risks in epidemiologic studies and clinical trials with categorical, count, and event-time data.
Presenting a broad scope of coverage and the latest research on the topic, the author begins with categorical data analysis methods for cross-sectional, prospective, and retrospective studies of binary, polychotomous, and ordinal data. Subsequent chapters present modern model-based approaches that include unconditional and conditional logistic regression; Poisson and negative binomial models for count data; and the analysis of event-time data including the Cox proportional hazards model and its generalizations. The book now includes an introduction to mixed models with fixed and random effects as well as expanded methods for evaluation of sample size and power. Additional new topics featured in this Second Edition include:
- Establishing equivalence and non-inferiority
- Methods for the analysis of polychotomous and ordinal data, including matched data and the Kappa agreement index
- Multinomial logistic for polychotomous data and proportional odds models for ordinal data
- Negative binomial models for count data as an alternative to the Poisson model
- GEE models for the analysis of longitudinal repeated measures and multivariate observations
Throughout the book, SAS is utilized to illustrate applications to numerous real-world examples and case studies. A related website features all the data used in examples and problem sets along with the author's SAS routines.
Biostatistical Methods, Second Edition is an excellent book for biostatistics courses at the graduate level. It is also an invaluable reference for biostatisticians, applied statisticians, and epidemiologists.
- Sales Rank: #724675 in Books
- Published on: 2010-12-21
- Original language: English
- Number of items: 1
- Dimensions: 9.55" h x 1.45" w x 6.40" l, 2.29 pounds
- Binding: Hardcover
- 672 pages
Review
"Biostatistical methods, second edition is an excellent book for biostatistics courses at the graduate level. It is also an invaluable reference for biostatisticians, applied statisticians, and epidemiologists." (Mathematical Reviews, 2011)
"The author of this book has made a tremendous effort in covering a gamut of tests, methods, and ideas for biostatistical problem solving . . . In conclusion, the book is recommended to all in biostatistics as a technical reference." (Journal of Biopharmaceutical Statistics, 1 September 2012)
"...Biostatistics is set apart from other statistics specialties by its focus on the assessment of risks and relative risks through clinical research," states Lachin (George Washington U.) in the preface to the first edition (2001). He developed this graduate text to support a course he launched as a joint initiative of the university's department of statistics, its Biostatistics Center, and the School of Public Health and Health Services. Coverage includes discussion of biostatistics and biomedical science, relative risk estimates and tests for independent groups, sample size, stratified adjusted analysis, case-control and matched studies, applications of maximum likelihood and efficient scores, among other topics." (Book News Inc., February 2011)
From the Back Cover
Praise for the First Edition ". . . an excellent textbook . . . an indispensable reference for biostatisticians and epidemiologists."—International Statistical Institute
A new edition of the definitive guide to classical and modern methods of biostatistics
Biostatistics consists of various quantitative techniques that are essential to the description and evaluation of relationships among biologic and medical phenomena. Biostatistical Methods: The Assessment of Relative Risks, Second Edition develops basic concepts and derives an expanded array of biostatistical methods through the application of both classical statistical tools and more modern likelihood-based theories. With its fluid and balanced presentation, the book guides readers through the important statistical methods for the assessment of absolute and relative risks in epidemiologic studies and clinical trials with categorical, count, and event-time data.
Presenting a broad scope of coverage and the latest research on the topic, the author begins with categorical data analysis methods for cross-sectional, prospective, and retrospective studies of binary, polychotomous, and ordinal data. Subsequent chapters present modern model-based approaches that include unconditional and conditional logistic regression; Poisson and negative binomial models for count data; and the analysis of event-time data including the Cox proportional hazards model and its generalizations. The book now includes an introduction to mixed models with fixed and random effects as well as expanded methods for evaluation of sample size and power. Additional new topics featured in this Second Edition include:
-
Establishing equivalence and non-inferiority
-
Methods for the analysis of polychotomous and ordinal data, including matched data and the Kappa agreement index
-
Multinomial logistic for polychotomous data and proportional odds models for ordinal data
-
Negative binomial models for count data as an alternative to the Poisson model
-
GEE models for the analysis of longitudinal repeated measures and multivariate observations
Throughout the book, SAS® is utilized to illustrate applications to numerous real-world examples and case studies. A related website features all the data used in examples and problem sets along with the author's SAS routines.
Biostatistical Methods, Second Edition is an excellent book for biostatistics courses at the graduate level. It is also an invaluable reference for biostatisticians, applied statisticians, and epidemiologists.
About the Author
John M. Lachin, ScD, is Co-Director of The Biostatistics Center at The George Washington University, where he also serves as Professor of Biostatistics and Epidemiology, and of Statistics. He has published extensively in his areas of research interest, which include sample size evaluation, group sequential methods, analysis of repeated measures, and survival analysis. A Fellow of the American Statistical Association and the Society for Clinical Trials, Dr. Lachin is the coauthor of Randomization in Clinical Trials: Theory and Practice, also published by Wiley.
Biostatistical Methods: The Assessment of Relative RisksBy John M. Lachin PDF
Biostatistical Methods: The Assessment of Relative RisksBy John M. Lachin EPub
Biostatistical Methods: The Assessment of Relative RisksBy John M. Lachin Doc
Biostatistical Methods: The Assessment of Relative RisksBy John M. Lachin iBooks
Biostatistical Methods: The Assessment of Relative RisksBy John M. Lachin rtf
Biostatistical Methods: The Assessment of Relative RisksBy John M. Lachin Mobipocket
Biostatistical Methods: The Assessment of Relative RisksBy John M. Lachin Kindle
0 komentar:
Posting Komentar