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Medical Statistics and Computer Experiments (2nd Edition)

Autor Ji-Qian Fang
en Limba Engleză Hardback – 24 iul 2014
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. The CD-ROM holds 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. 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.
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Specificații

ISBN-13: 9789814566773
ISBN-10: 9814566772
Pagini: 1016
Dimensiuni: 150 x 231 x 38 mm
Greutate: 1.32 kg
Ediția:Revised
Editura: World Scientific Publishing Company

Cuprins

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.