Common Statistical Methods For Clinical Research With Sas Examples Third Edition

Author : Glenn Walker,Jack Shostak
Publisher : SAS Institute
Page : 552 pages
File Size : 52,7 Mb
Release : 2010-02-15
Category : Computers
ISBN : 9781629590318

Get Book

Common Statistical Methods for Clinical Research with SAS Examples, Third Edition by Glenn Walker,Jack Shostak Pdf

Glenn Walker and Jack Shostak's Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is a thoroughly updated edition of the popular introductory statistics book for clinical researchers. This new edition has been extensively updated to include the use of ODS graphics in numerous examples as well as a new emphasis on PROC MIXED. Straightforward and easy to use as either a text or a reference, the book is full of practical examples from clinical research to illustrate both statistical and SAS methodology. Each example is worked out completely, step by step, from the raw data. Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is an applications book with minimal theory. Each section begins with an overview helpful to nonstatisticians and then drills down into details that will be valuable to statistical analysts and programmers. Further details, as well as bonus information and a guide to further reading, are presented in the extensive appendices. This text is a one-source guide for statisticians that documents the use of the tests used most often in clinical research, with assumptions, details, and some tricks--all in one place. This book is part of the SAS Press program.

Author : Glenn A. Walker,Jack Shostak
Publisher : Unknown
Page : 128 pages
File Size : 51,7 Mb
Release : 2010
Category : Medicine
ISBN : OCLC:742516275

Get Book

Common Statistical Methods for Clinical Research with SAS Examples by Glenn A. Walker,Jack Shostak Pdf

Author : Glenn A. Walker
Publisher : Sas Inst
Page : 464 pages
File Size : 40,7 Mb
Release : 2002
Category : Computers
ISBN : 1590470400

Get Book

Common Statistical Methods for Clinical Research with SAS Examples by Glenn A. Walker Pdf

This updated edition provides clinical researchers with an invaluable aid for understanding the statistical methods cited most frequently in clinical protocols, statistical analysis plans, clinical and statistical reports, and medical journals. The text is written in a way that takes the non-statistician through each test using examples, yet substantive details are presented that benefit even the most experienced data analysts.

Author : Glenn Walker,Jack Shostak
Publisher : SAS Institute
Page : 553 pages
File Size : 50,7 Mb
Release : 2010-02-15
Category : Mathematics
ISBN : 9781607644255

Get Book

Common Statistical Methods for Clinical Research with SAS Examples, Third Edition by Glenn Walker,Jack Shostak Pdf

Glenn Walker and Jack Shostak's Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is a thoroughly updated edition of the popular introductory statistics book for clinical researchers. This new edition has been extensively updated to include the use of ODS graphics in numerous examples as well as a new emphasis on PROC MIXED. Straightforward and easy to use as either a text or a reference, the book is full of practical examples from clinical research to illustrate both statistical and SAS methodology. Each example is worked out completely, step by step, from the raw data. Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is an applications book with minimal theory. Each section begins with an overview helpful to nonstatisticians and then drills down into details that will be valuable to statistical analysts and programmers. Further details, as well as bonus information and a guide to further reading, are presented in the extensive appendices. This text is a one-source guide for statisticians that documents the use of the tests used most often in clinical research, with assumptions, details, and some tricks--all in one place. This book is part of the SAS Press program.

Author : Thomas D. Cook,David L DeMets
Publisher : CRC Press
Page : 465 pages
File Size : 44,6 Mb
Release : 2007-11-19
Category : Mathematics
ISBN : 9781584880271

Get Book

Introduction to Statistical Methods for Clinical Trials by Thomas D. Cook,David L DeMets Pdf

Clinical trials have become essential research tools for evaluating the benefits and risks of new interventions for the treatment and prevention of diseases, from cardiovascular disease to cancer to AIDS. Based on the authors’ collective experiences in this field, Introduction to Statistical Methods for Clinical Trials presents various statistical topics relevant to the design, monitoring, and analysis of a clinical trial. After reviewing the history, ethics, protocol, and regulatory issues of clinical trials, the book provides guidelines for formulating primary and secondary questions and translating clinical questions into statistical ones. It examines designs used in clinical trials, presents methods for determining sample size, and introduces constrained randomization procedures. The authors also discuss how various types of data must be collected to answer key questions in a trial. In addition, they explore common analysis methods, describe statistical methods that determine what an emerging trend represents, and present issues that arise in the analysis of data. The book concludes with suggestions for reporting trial results that are consistent with universal guidelines recommended by medical journals. Developed from a course taught at the University of Wisconsin for the past 25 years, this textbook provides a solid understanding of the statistical approaches used in the design, conduct, and analysis of clinical trials.

Author : Alex Dmitrienko,Gary G. Koch
Publisher : SAS Institute
Page : 455 pages
File Size : 46,6 Mb
Release : 2017-07-17
Category : Computers
ISBN : 9781635261448

Get Book

Analysis of Clinical Trials Using SAS by Alex Dmitrienko,Gary G. Koch Pdf

Analysis of Clinical Trials Using SAS®: A Practical Guide, Second Edition bridges the gap between modern statistical methodology and real-world clinical trial applications. Tutorial material and step-by-step instructions illustrated with examples from actual trials serve to define relevant statistical approaches, describe their clinical trial applications, and implement the approaches rapidly and efficiently using the power of SAS. Topics reflect the International Conference on Harmonization (ICH) guidelines for the pharmaceutical industry and address important statistical problems encountered in clinical trials. Commonly used methods are covered, including dose-escalation and dose-finding methods that are applied in Phase I and Phase II clinical trials, as well as important trial designs and analysis strategies that are employed in Phase II and Phase III clinical trials, such as multiplicity adjustment, data monitoring, and methods for handling incomplete data. This book also features recommendations from clinical trial experts and a discussion of relevant regulatory guidelines. This new edition includes more examples and case studies, new approaches for addressing statistical problems, and the following new technological updates: SAS procedures used in group sequential trials (PROC SEQDESIGN and PROC SEQTEST) SAS procedures used in repeated measures analysis (PROC GLIMMIX and PROC GEE) macros for implementing a broad range of randomization-based methods in clinical trials, performing complex multiplicity adjustments, and investigating the design and analysis of early phase trials (Phase I dose-escalation trials and Phase II dose-finding trials) Clinical statisticians, research scientists, and graduate students in biostatistics will greatly benefit from the decades of clinical research experience and the ready-to-use SAS macros compiled in this book.

Author : Kriss Harris,Richann Watson
Publisher : SAS Institute
Page : 198 pages
File Size : 52,7 Mb
Release : 2020-11-25
Category : Computers
ISBN : 9781952365973

Get Book

SAS Graphics for Clinical Trials by Example by Kriss Harris,Richann Watson Pdf

Create industry-compliant graphs with this practical guide for professionals Analysis of clinical trial results is easier when the data is presented in a visual form. However, clinical graphs must conform to specific guidelines in order to satisfy regulatory agency requirements. If you are a programmer working in the health care and life sciences industry and you want to create straightforward, visually appealing graphs using SAS, then this book is designed specifically for you. Written by two experienced practitioners, the book explains why certain graphs are requested, gives the necessary code to create the graphs, and shows you how to create graphs from ADaM data sets modeled on real-world CDISC pilot study data. SAS Graphics for Clinical Trials by Example demonstrates step-by-step how to create both simple and complex graphs using Graph Template Language (GTL) and statistical graphics procedures, including the SGPLOT and SGPANEL procedures. You will learn how to generate commonly used plots such as Kaplan-Meier plots and multi-cell survival plots as well as special purpose graphs such as Venn diagrams and interactive graphs. Because your graph is only as good as the aesthetic appearance of the output, you will learn how to create a custom style, change attributes, and set output options. Whether you are just learning how to produce graphs or have been working with graphs for a while, this book is a must-have resource to solve even the most challenging clinical graph problems.

Author : Arnold D. Well,Jerome L. Myers
Publisher : Psychology Press
Page : 871 pages
File Size : 45,6 Mb
Release : 2003-01-30
Category : Psychology
ISBN : 9781135641085

Get Book

Research Design & Statistical Analysis by Arnold D. Well,Jerome L. Myers Pdf

"Free CD contains several real and artificial data sets used in the book in SPSS, SYSTAT, and ASCII formats"--Cover.

Author : Geoff Der,Brian S. Everitt
Publisher : CRC Press
Page : 250 pages
File Size : 55,7 Mb
Release : 2014-08-15
Category : Mathematics
ISBN : 9781466599031

Get Book

A Handbook of Statistical Graphics Using SAS ODS by Geoff Der,Brian S. Everitt Pdf

Easily Use SAS to Produce Your Graphics Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they have been fitted to the data. Harnessing the full graphics capabilities of SAS, A Handbook of Statistical Graphics Using SAS ODS covers essential graphical methods needed in every statistician’s toolkit. It explains how to implement the methods using SAS 9.4. The handbook shows how to use SAS to create many types of statistical graphics for exploring data and diagnosing fitted models. It uses SAS’s newer ODS graphics throughout as this system offers a number of advantages, including ease of use, high quality of results, consistent appearance, and convenient semiautomatic graphs from the statistical procedures. Each chapter deals graphically with several sets of example data from a wide variety of areas, such as epidemiology, medicine, and psychology. These examples illustrate the use of graphic displays to give an overview of data, to suggest possible hypotheses for testing new data, and to interpret fitted statistical models. The SAS programs and data sets are available online.

Author : Ding-Geng (Din) Chen,Karl E. Peace,Pinggao Zhang
Publisher : CRC Press
Page : 310 pages
File Size : 54,8 Mb
Release : 2017-06-01
Category : Mathematics
ISBN : 9781351651141

Get Book

Clinical Trial Data Analysis Using R and SAS by Ding-Geng (Din) Chen,Karl E. Peace,Pinggao Zhang Pdf

Review of the First Edition "The goal of this book, as stated by the authors, is to fill the knowledge gap that exists between developed statistical methods and the applications of these methods. Overall, this book achieves the goal successfully and does a nice job. I would highly recommend it ...The example-based approach is easy to follow and makes the book a very helpful desktop reference for many biostatistics methods."—Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book’s practical, detailed approach draws on the authors’ 30 years’ experience in biostatistical research and clinical development. The authors develop step-by-step analysis code using appropriate R packages and functions and SAS PROCS, which enables readers to gain an understanding of the analysis methods and R and SAS implementation so that they can use these two popular software packages to analyze their own clinical trial data. What’s New in the Second Edition Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with updated R packages. Includes correlated data analysis with multivariate analysis of variance. Applies R and SAS to clinical trial data from hypertension, duodenal ulcer, beta blockers, familial andenomatous polyposis, and breast cancer trials. Covers the biostatistical aspects of various clinical trials, including treatment comparisons, time-to-event endpoints, longitudinal clinical trials, and bioequivalence trials.

Author : Chris Holland,Jack Shostak
Publisher : SAS Institute
Page : 294 pages
File Size : 41,8 Mb
Release : 2019-05-30
Category : Computers
ISBN : 9781642952414

Get Book

Implementing CDISC Using SAS by Chris Holland,Jack Shostak Pdf

For decades researchers and programmers have used SAS to analyze, summarize, and report clinical trial data. Now Chris Holland and Jack Shostak have updated their popular Implementing CDISC Using SAS, the first comprehensive book on applying clinical research data and metadata to the Clinical Data Interchange Standards Consortium (CDISC) standards. Implementing CDISC Using SAS: An End-to-End Guide, Revised Second Edition, is an all-inclusive guide on how to implement and analyze the Study Data Tabulation Model (SDTM) and the Analysis Data Model (ADaM) data and prepare clinical trial data for regulatory submission. Updated to reflect the 2017 FDA mandate for adherence to CDISC standards, this new edition covers creating and using metadata, developing conversion specifications, implementing and validating SDTM and ADaM data, determining solutions for legacy data conversions, and preparing data for regulatory submission. The book covers products such as Base SAS, SAS Clinical Data Integration, and the SAS Clinical Standards Toolkit, as well as JMP Clinical. Topics included in this edition include an implementation of the Define-XML 2.0 standard, new SDTM domains, validation with Pinnacle 21 software, event narratives in JMP Clinical, STDM and ADAM metadata spreadsheets, and of course new versions of SAS and JMP software. The second edition was revised to add the latest C-Codes from the most recent release as well as update the make_define macro that accompanies this book in order to add the capability to handle C-Codes. The metadata spreadsheets were updated accordingly. Any manager or user of clinical trial data in this day and age is likely to benefit from knowing how to either put data into a CDISC standard or analyzing and finding data once it is in a CDISC format. If you are one such person--a data manager, clinical and/or statistical programmer, biostatistician, or even a clinician--then this book is for you.

Author : Alex Dmitrienko, Ph.D.,Christy Chuang-Stein, Ph.D.,Ralph B. D'Agostino,Sr., Ph.D.
Publisher : SAS Institute
Page : 464 pages
File Size : 46,8 Mb
Release : 2007-02-07
Category : Computers
ISBN : 9781629590301

Get Book

Pharmaceutical Statistics Using SAS by Alex Dmitrienko, Ph.D.,Christy Chuang-Stein, Ph.D.,Ralph B. D'Agostino,Sr., Ph.D. Pdf

Introduces a range of data analysis problems encountered in drug development and illustrates them using case studies from actual pre-clinical experiments and clinical studies. Includes a discussion of methodological issues, practical advice from subject matter experts, and review of relevant regulatory guidelines.

Author : Maura E. Stokes,Charles S. Davis,Gary G. Koch
Publisher : SAS Institute
Page : 590 pages
File Size : 44,7 Mb
Release : 2012-07-31
Category : Computers
ISBN : 9781629590356

Get Book

Categorical Data Analysis Using SAS, Third Edition by Maura E. Stokes,Charles S. Davis,Gary G. Koch Pdf

Statisticians and researchers will find this book, newly updated for SAS/STAT 12.1, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS.

Author : Diane L. Fairclough
Publisher : CRC Press
Page : 419 pages
File Size : 42,5 Mb
Release : 2010-01-07
Category : Mathematics
ISBN : 9781420061185

Get Book

Design and Analysis of Quality of Life Studies in Clinical Trials by Diane L. Fairclough Pdf

Design Principles and Analysis Techniques for HRQoL Clinical TrialsSAS, R, and SPSS examples realistically show how to implement methods Focusing on longitudinal studies, Design and Analysis of Quality of Life Studies in Clinical Trials, Second Edition addresses design and analysis aspects in enough detail so that readers can apply statistical meth

Author : Jacob Cohen
Publisher : Routledge
Page : 625 pages
File Size : 47,8 Mb
Release : 2013-05-13
Category : Psychology
ISBN : 9781134742776

Get Book

Statistical Power Analysis for the Behavioral Sciences by Jacob Cohen Pdf

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.