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Clustered Data: Extending the Simple Linear Regression Model to Account for Correlated Responses: An Introduction to Generalized Estimating Equations and Multi‐Level Mixed Modelling

Epidemiology: Computing Estimates of Incidence, Including Lifetime Risk: Alzheimer's Disease in the Framingham Study. The Practical Incidence Estimators (PIE) Macro

Introduction to Biostatistics

Whither PQL?

Biostatistical Design of Medical Studies

Correlation and Marginal Longitudinal Kernel Nonparametric Regression

Descriptive Statistics

Epidemiology: The Applications of Capture‐Recapture Models to Epidemiological Data

Analysis of Multivariate Monotone Missing Data by A Pseudolikelihood Method

Hierarchical Modelling: An Introduction to Hierarchical Linear Modelling

Quantile Regression for Correlated Observations

Statistical Inference: Populations and Samples

Adjustment Methods: Propensity Score Methods for Bias Reduction in the Comparison of a Treatment to a Non‐Randomized Control Group

Hierarchical Modelling: Multilevel Modelling of Medical Data

Small Sample Inference for Clustered Data

Agreement Statistics: Kappa Coefficients in Medical Research

Some Applications of Indirect Inference to Longitudinal and Repeated Events Data

Hierarchical Modelling: Hierarchical Linear Models for the Development of Growth Curves: An Example with Body Mass Index in Overweight/Obese Adults

On Characterizing Joint Survivor Functions by Minima

Survival Models: Survival Analysis in Observational Studies

Nonparametric Estimation of the Bivariate Survivor Function

One‐ and Two‐Sample Inference

Mixed Models: Using the General Linear Mixed Model to Analyse Unbalanced Repeated Measures and Longitudinal Data

Survival Models: Methods for Interval‐Censored Data

A Semiparametric Regression Model for Panel Count Data: When Do Pseudo-likelihood Estimators Become Badly Inefficient?

Counting Data

Mixed Models: Modelling Covariance Structure in the Analysis of Repeated Measures Data

Survival Models: Analysis of Binary Outcomes in Longitudinal Studies Using Weighted Estimating Equations and Discrete‐Time Survival Methods: Prevalence and Incidence of Smoking in An Adolescent Cohort

Some Biases That May Affect Kin-Cohort Studies for Estimating the Risks from Identified Disease Genes

Mixed Models: Covariance Models for Nested Repeated Measures Data: Analysis of Ovarian Steroid Secretion Data<link></link>

Prognostic Variables: Categorizing a Prognostic Variable: Review of Methods, Code for Easy Implementation and Applications to Decision‐Making about Cancer Treatments

Optimal Structural Nested Models for Optimal Sequential Decisions

Categorical Data: Contingency Tables

Likelihood Modelling: Likelihood Methods for Measuring Statistical Evidence

Prognostic/Clinical Prediction Models: Development of Health Risk Appraisal Functions in the Presence of Multiple Indicators: The Framingham Study Nursing Home Institutionalization Model

Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors

Likelihood Modelling: Meta‐Analysis: Formulating, Evaluating, Combining, and Reporting

Prognostic/Clinical Prediction Models: Development of a Clinical Prediction Model for an Ordinal Outcome: The World Health Organization Multicentre Study of Clinical Signs and Etiological Agents of Pneumonia, Sepsis and Meningitis in Young Infants

Nonparametric, Distribution‐Free, and Permutation Models: Robust Procedures

Prognostic/Clinical Prediction Models: Using Observational Data to Estimate Prognosis: An Example Using a Coronary Artery Disease Registry

Likelihood Modelling: Advanced methods in Meta‐Analysis: Multivariate Approach and Meta‐Regression

Association and Prediction: Linear Models with One Predictor Variable

Design: Designing Studies for Dose Response

Likelihood Modelling: Genetic Epidemiology: A Review of the Statistical Basis

Monitoring: Bayesian Data Monitoring in Clinical Trials

Likelihood Modelling: Genetic Mapping of Complex Traits

Analysis: Longitudinal Data Analysis (Repeated Measures) in Clinical Trials

Analysis of Variance

Likelihood Modelling: A Statistical Perspective on Gene Expression Data Analysis

Analysis: Repeated Measures in Clinical Trials: Simple Strategies for Analysis Using Summary Measures

Likelihood Modelling: Statistical Approaches to Human Brain Mapping by Functional Magnetic Resonance Imaging

Analysis: Strategies for Comparing Treatments on a Binary Response with Multi‐Centre Data

Analysis: A Review of Tests for Detecting a Monotone Dose‐Response Relationship with Ordinal Response Data

Likelihood Modelling: Disease Map Reconstruction

Association and Prediction: Multiple Regression Analysis and Linear Models with Multiple Predictor Variables

Index

Likelihood Modelling: Presentation of Multivariate Data for Clinical Use: The Framingham Study Risk Score Functions

Index

Multiple Comparisons

Discrimination and Classification

Principal Component Analysis and Factor Analysis

Rates and Proportions

Analysis of the Time to an Event: Survival Analysis

Sample Sizes for Observational Studies

Longitudinal Data Analysis

Randomized Clinical Trials

Personal Postscript

Appendix

Author Index

Subject Index

Symbol Index

Wiley Series in Probability and Statistics

Front Matter

Front Matter

Frontmatter