Epidemiology and Biostatistics(流行病学和生物统计学) 目录
Preface
Acknowledgements
Contributors
Chapter 1 Introduction - Statistics and Epidemiology: A Historical Marriage
Chapter 2 Data Sources on Health: Outline
Chapter 3 Calculation of Rates
Chapter 4 Period Effect
Chapter 5 Age Effect
Chapter 6 Cohort Effect
Chapter 7 Age-Period-Cohort Models
Chapter 8 Exposure
Chapter 9 Disease
Chapter 10 Measurements of Association
Chapter 11 Bias
Chapter 12 Confounding
Chapter 13 Role of Chance
Chapter 14 Effect Modification
Chapter 15 Essentials for Molecular Epidemiology
Chapter 16 Overview of Study Design
Chapter 17 Issues in the Design, Conduct, and Analysis of Clinical Trials
Chapter 18 Cohort Study
Chapter 19 Case-Control Study
Chapter 20 Cross-Sectional Study
Chapter 21 Proportional Mortality Study
Chapter 22 Case-Crossover Study
Chapter 23 Ecologic Study
Chapter 24 Molecular Epidemiology
Chapter 25 Introduction to Univariate Statistical Analysis
Chapter 26 Introduction to Stratified Analysis
Chapter 27 Introduction to Multivariate Analysis
Chapter 28 Meta and Pooled Analysis
Chapter 29 Survival Analysis
Chapter 30 Generating Hypothesis
Chapter 31 Planning and Conducting an Epidemiological Study
Chapter 32 Interpreting Study Results: Causal Inference
Chapter 33 Principles of Screening
Chapter 34 Nutritional Epidemiology
Index
Epidemiology and Biostatistics(流行病学和生物统计学) 精彩文摘
There are two distinct aspects to the definition of statistics. As a plural noun, statistics are ‘facts or data of a numerical kind, assembled, classified, and tabulated so as to present significant information about a given subject’. As a singular noun, statistics is the ‘science of assembling, classifying, tabulating and analyzing such facts or data’ .
In recent times, it has been the science of statistics which has attracted attention in medicine, and medical researchers, in common with the majority in the scientific community, tend to see the role that statistics has to play in their research mainly in terms of its analytical function.
Statistics has contributed much more to medicine, medical thought, and medical practice than merely as an analytical function. Important as that may be, it is greatly overshadowed by what statistics and medicine working in harness has to contribute. This interaction is epidemiology.
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2021年7月6日 上午10:07 1F
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