Epidemiology : study design and data analysis /: study design and data analysis. (2014)

• Record Type: Book
• Further Information: Note: By Mark Woodward.
• Authors: Woodward, Mark
• Contents: 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
• Edition: 3rd edition
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2014
• Extent: 1 online resource, illustrations
• Subjects: 614.40727; Epidemiology; Case-control method
• Languages: English
• ISBNs: 9781482244335; 9781482243208
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.