Medical Statistics And Computer Experiments (With Cd-rom)
Published on 10. August 2005
Book
Paperback/Softback
948 pages
978-981-256-183-1 (ISBN)
Description
This textbook consists of three parts: basic concepts of statistics, advanced statistical methods, and design and analysis for medical research. Each chapter begins with challenging medical problems and related statistical methods and theories; to make the statistical ideas more easily understood, there is a section of "computer experiments" in each chapter where some basic statistical phenomena and related concepts are revealed. The statistical software SAS is used to carry out related statistical calculations.The aim of this book is to make medical students and researchers grasp easily the most useful tools of statistics for their medical research. It is done through various applications to a great number of medical problems, interesting demonstration of well-designed computer experiments and detailed explanation of statistical thinking.
Reviews / Votes
"It gives basic guidance on a much broader range of statistical topics than is usually seen in books aimed at non-statisticians ... The 'Thinking' sections at the end of the chapters, with their solutions, also provide additional good material." Pharmaceutical StatisticsMore details
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Graduate students, lecturers and researchers in medicine, public health and applied statistics
Dimensions
Height: 233 mm
Width: 162 mm
Thickness: 53 mm
Weight
1592 gr
ISBN-13
978-981-256-183-1 (9789812561831)
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Schweitzer Classification
Person
Content
Basic Concepts of Statistics: Descriptive Statistics; Hypotheses Testing for Data of Continuous Variables; Linear Correlation; Analysis of Variance; Advanced Statistical Methods: Multiple Regression and Correlation; Discriminant Analysis; Factor Analysis; Survival Analysis; Design and Analysis for Medical Research: Analysis of Data from Repeated Measures Design; Design and Analysis for Sequential Trials; Statistical Analysis of Genetic Data; Meta Analysis of Literature Results; and other papers.