Epidemiology : study design and data analysis

Content: FUNDAMENTAL ISSUES What is Epidemiology? Case Studies: The Work of Doll and Hill Populations and Samples Measuring Disease Measuring the Risk Factor Causality Studies Using Routine Data Study Design Data Analysis Exercises  BASIC ANALYTICAL PROCEDURES Introduction Case Study Types of Variables Tables and Charts Inferential Techniques for Categorical Variables Descriptive Techniques for Quantitative Variables Inferences about Means Inferential Techniques for Non-Normal Data Measuring Agreement Assessing Diagnostic Tests Exercises  ASSESSING RISK FACTORS Risk and Relative Risk Odds and Odds Ratio Relative Risk or Odds Ratio? Prevalence Studies Testing Association Risk Factors Measured at Several Levels Attributable Risk Rate and Relative Rate Measures of Difference EPITAB Commands in Stata Exercises  CONFOUNDING AND INTERACTION Introduction The Concept of Confounding Identification of Confounders Assessing Confounding Standardization Mantel-Haenszel Methods The Concept of Interaction Testing for Interaction Dealing with Interaction EPITAB Commands in Stata Exercises  COHORT STUDIES Design Considerations Analytical Considerations Cohort Life Tables Kaplan-Meier Estimation Comparison of Two Sets of Survival Probabilities Competing Risk The Person-Years Method Period-Cohort Analysis Exercises  CASE-CONTROL STUDIES Basic Design Concepts Basic Methods of Analysis Selection of Cases Selection of Controls Matching The Analysis of Matched Studies Nested Case-Control Studies Case-Cohort Studies Case-Crossover Studies Exercises  INTERVENTION STUDIES Introduction Ethical Considerations  Avoidance of Bias Parallel Group Studies Cross-Over Studies Sequential Studies Allocation to Treatment Group Trials as Cohorts Exercises  SAMPLE SIZE DETERMINATION Introduction Power Testing a Mean Value Testing a Difference between Means  Testing a Proportion Testing a Relative Risk Case-Control Studies  Complex Sampling Designs  Concluding Remarks Exercises  MODELING QUANTITATIVE OUTCOME VARIABLES Statistical Models One Categorical Explanatory Variable One Quantitative Explanatory Variable Two Categorical Explanatory Variables Model Building General Linear Models Several Explanatory Variables Model Checking Confounding Splines Panel Data Non-Normal Alternatives Exercises  MODELING BINARY OUTCOME DATA Introduction Problems with Standard Regression Models Logistic Regression Interpretation of Logistic Regression Coefficients Generic Data Multiple Logistic Regression Models Tests of Hypotheses Confounding Interaction Dealing with a Quantitative Explanatory Variable Model Checking Measurement Error Case-Control Studies Outcomes with Several Levels Longitudinal Data  Binomial Regression Propensity Scoring Exercises  MODELING FOLLOW-UP DATA Introduction Basic Functions of Survival Time Estimating the Hazard Function Probability Models Proportional Hazards Regression Models The Cox Proportional Hazards Model The Weibull Proportional Hazards Model Model Checking Competing Risk Poisson Regression Pooled Logistic Regression Exercises  META-ANALYSIS Reviewing Evidence Systematic Review A General Approach to Pooling Investigating Heterogeneity Pooling Tabular Data Individual Participant Data Dealing with Aspects of Study Quality Publication Bias Advantages and Limitations of Meta-Analysis  Exercises    RISK SCORES AND CLINICAL DECISION RULES Introduction  Association and Prognosis  Risk Scores from Statistical Models  Quantifying Discrimination  Calibration  Recalibration The Accuracy of Predictions  Assessing an Extraneous Prognostic Variable  Reclassification  Validation  Presentation of Risk Scores  Impact Studies Exercises        COMPUTER-INTENSIVE METHODS Rationale  The Bootstrap  Bootstrap Confidence Intervals  Practical Issues When Bootstrapping  Further Examples of Bootstrapping  Bootstrap Hypothesis Testing  Limitations of Bootstrapping  Permutation Tests  Missing Values  Naive Imputation Methods Univariate Multiple Imputation Multivariate Multiple Imputation When Is It Worth Imputing?  Exercises    Appendix A: Materials Available on the Website for This Book  Appendix B: Statistical Tables  Appendix C: Additional Data Sets for Exercises     Index