Medical Statistics And Computer Experiments (2nd Edition)
2nd Edition
Published on 15. September 2014
Book
Hardback
1016 pages
978-981-4566-77-3 (ISBN)
Description
This volume consists of three parts: Part I comprises 11 chapters on the basic concepts of statistics, Part II consists of 10 chapters on multivariate statistics and Part III contains 12 chapters on design and analysis for medical research. The book is written using basic concepts and commonly used methods of design and analysis in medical statistics, incorporating the operation of statistical package SAS and 100 computer experiments for the important statistical phenomena related to each chapter. All necessary data, including reference answers for the exercises, SAS programs for all computer experiments and part of the examples, and data documents for 12 medical researches are available. The Chinese version of this book has been recommended as a textbook of statistics for postgraduate program by the Office of Education Research, Ministry of Education, People's Republic of China.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Edition type
Revised edition
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 58 mm
Weight
1587 gr
ISBN-13
978-981-4566-77-3 (9789814566773)
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Schweitzer Classification
Person
Content
Basic Concepts of Statistics: Descriptive Statistics; Hypothesis Testing; Simple Linear Correlation and Regression; Non-Linear Regression; Analysis of Variance; Nonparametric Tests based on Ranks; Advanced Statistical Methods: Multiple Regression and Correlation; Multi-Variate ANOVA; Discriminant Analysis; Factor Analysis; Canonical Correlation and Correspondence Analysis; Logistic Regression; Survival Analysis; Log Linear Methods and Poisson Regression; Design and Analysis for Medical Research: Analysis of Repeated Measurements; Design and Analysis of Sequential Experiments; Design and Analysis for Epidemiological Study; Design and Analysis for Comparative Effectiveness Research; Statistical Methods for Data from Genetic Study; Statistical Methods for Data of Bioinformatics; Design and Analysis for Diagnostic and Screening Study; Systematic Review of Medical Literatures and Meta-Analysis; and others.