Epidemiology and Biostatistics(流行病学和生物统计学)pdf

2019年7月22日12:23:44 评论 33

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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