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Statistical Methods for Biomedical Research [Kõva köide]

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  • Formaat: Hardback, 700 pages
  • Ilmumisaeg: 15-Jan-2021
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9811228868
  • ISBN-13: 9789811228865
Teised raamatud teemal:
  • Formaat: Hardback, 700 pages
  • Ilmumisaeg: 15-Jan-2021
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9811228868
  • ISBN-13: 9789811228865
Teised raamatud teemal:
This book consists of four parts with 32 chapters adapted for four short courses, from the basic to the advanced levels of medical statistics (biostatistics), ideal for biomedical students . Part 1 is a compulsory course of Basic Statistics with descriptive statistics, parameter estimation and hypothesis test, simple correlation and regression. Part 2 is a selective course on Study Design and Implementation with sampling survey, interventional study, observational study, diagnosis study, data sorting and article writing. Part 3 is a specially curated course of Multivariate Analyses with complex analyses of variance, variety of regressions and classical multivariate analyses. Part 4 is a seminar course on Introduction to Advanced Statistical Methods with meta-analysis, time series, item response theory, structure equation model, multi-level model, bio-informatics, genetic statistics and data mining.

The main body of each chapter is followed by five practical sections: Report Writing, Case Discrimination, Computer Experiments, Frequently Asked Questions and Summary, and Practice & Think. Moreover, there are 2 attached Appendices, Appendix A includes Introductions to SPSS, Excel and R respectively, and Appendix B includes all the programs, data and printouts for Computer Experiments in addition to the Tests for Review and the reference answers for Case Discrimination as well as Practice & Think..

This book can be used as a textbook for biomedical students at both under- and postgraduate levels. It can also serve as an importantguide for researchers, professionals and officers in the biomedical field.
Preface v
Introduction 1(22)
Part I Basic Concepts and Methods
23(260)
Chapter 1 Statistical Description
25(28)
Chapter 2 Probability Distribution
53(34)
Chapter 3 Parameter Estimation
87(32)
Chapter 4 Hypothesis Testing
119(20)
Chapter 5 Comparison of Means between Two Groups
139(30)
Chapter 6 Comparison of Means among Multiple Groups
169(30)
Chapter 7 Comparison of Distributions of Categorical Variables
199(28)
Chapter 8 Analysis of Association
227(30)
Chapter 9 Simple Linear Regression
257(26)
Part II Design and Implementation of Bio-medical Research
283(238)
Chapter 10 Sampling Survey
285(40)
Chapter 11 Interventional Study
325(26)
Chapter 12 Clinical Trial
351(34)
Chapter 13 Observational Comparative Effectiveness Research
385(26)
Chapter 14 Diagnostic Test
411(24)
Chapter 15 Sample Size Estimation
435(38)
Chapter 16 Missing Data
473(20)
Chapter 17 Statistical Reporting Guidelines for Medical Papers
493(28)
Part III Frequently Used Powerful Statistical Methods
521(218)
Chapter 18 Analysis of Variance for Complicated Designs
523(46)
Chapter 19 Multiple Linear Regression
569(32)
Chapter 20 Logistic Regression
601(36)
Chapter 21 Survival Analysis
637(36)
Chapter 22 Discriminant Analysis and Classification Tree
673(22)
Chapter 23 Cluster Analysis
695(20)
Chapter 24 Principal Component Analysis and Factor Analysis
715(24)
Part IV Selected Topics of Advanced Statistics
739(256)
Chapter 25 Meta Analysis
741(56)
Chapter 26 Time Series
797(26)
Chapter 27 Structural Equation Model
823(26)
Chapter 28 Multi-Level Model
849(34)
Chapter 29 Item Response Theory
883(26)
Chapter 30 Statistics for Genetics
909(30)
Chapter 31 Statistics for Bioinformatics
939(30)
Chapter 32 Data Mining
969(26)
Appendix A Introduction for Statistical Software
995(84)
A1 Introduction to SPSS
997(30)
A2 Introduction to Excel for Statistics
1027(10)
A3 Introduction to R Language
1037(42)
Appendix B Supplement for the Text (Available Online)
B1 Program, Data and Output for Computer Experiments
B2 Referenced Answer for Case Discrimination
B3 Referenced Answer for Think and Practice
Appendix C Statistical Tables
1079(60)
C1 Frequently Used Tables
1081(58)
Index 1139
Ji-Qian Fang was honorably awarded as a National Teaching Master of China by the Central Government of China in 2009 due to his outstanding achievement in university education. Professor Fang received his BS in Mathematics from Fudan University, China in 1961, and his PhD in Biostatistics from the University of California at Berkeley, US in 1985. He served the position of Professor and Director of the Department of Biomathematics and Biostatistics at Beijing Medical University during 1985-1991; and since 1991, he has been the Professor and Director of the Department of Medical Statistics at Sun Yat-Sen Medical University (now Sun Yat-Sen University). He also was an Adjunct professor at Chinese University of Hong Kong from 1993 to 2009.

His research interests include the statistical methods for research on chronic diseases, stochastic models for life phenomena, measurement of quality of life and actuarial studies for health service. Professor Fang has completed 19 National and International research projects, and has received 14 awards for progression in research from the Central and Provincial Governments of China.

He is the Chief Editor of national recommended textbooks and monographs, including Advanced Mathematics, Mathematical Statistics for Medicine, Health Statistics, Statistical Methods for Biomedical research, Medical Statistics and Computer Experiments, Advanced Medical Statistics and Handbook of Medical Statistics. The course of Medical Statistics led by Professor Fang has been recognized as the National Recommended Course in 2008 and the National Demonstration Bi-lingual Course in 2010.

Professor Fang is the founder of Group China of the International Biometric Society, and the founder of Committee of Medical Statistics Education of the Chinese Association of Health Informatics.