The coefficient of variation as a measure of reproducibility and comparison of two dependent reliability coefficients

Testing for trend using Cochran-Armitage chi-square, under cluster randomization

Application of the PROC GENMOD in SAS, which implements the GEE approach

Multi-level analysis of clustered binary data, using Schall's algorithm and GLIMMIX SAS macro

Modeling seasonal time series, one method using combination of polynomials to describe the trend component and trigonometric functions to describe seasonality, and another method using the more sophisticated ARIMA models

Analysis of repeated measures experiment using PROC MIXED in SAS

Survival analysis, including a brief discussion on analysis of correlated survival data

Building upon material presented in the first edition, Statistical Methods for Health Sciences, Second Edition continues to address the analytical issues related to the modeling and analysis of cluster data, both physical clustering-sampling of communities, families, or herds-and overtime clustering-longitudinal, repeated measures, or time series data. All examples in this new edition are solved using the SAS package, and all SAS programs are provided for understanding material presented. Numerous medical examples make this text especially suitable for applied health scientists and epidemiologists.

COMPARING GROUP MEANS WHEN THE STANDARD ASSUMPTIONS are Violated
Introduction
Non-Normality
Heterogeneity of Variances
Non-Independence
STATISTICAL ANALYSIS OF MEASUREMENTS RELIABILITY, "THE CASE OF INTERVAL SCALE MEASUREMENTS"
Introduction
Models for Reliability Studies
Case 1: The One-Way Random Effects Model
Case 2: The Two-Way Random Effects Model
Case 3: The Two-Way Mixed Effects Model
Covariate Adjustment in the One-Way Random Effects Model
Comparing the Precisions of Two Methods
Concordance Correlation as a Measure of Reproducibility
Assessing Reproducibility Using the Coefficient of Variation
STATISTICAL ANALYSIS OF CROSS CLASSIFIED DATA
Introduction
Measures of Association in 2x2 Tables
Cross Sectional Sampling
Cohort and Case-Control Studies
Statistical Inference on Odds Ratio
Significance Tests
Interval Estimation
Analysis of Several 2x2 Contingency Tables
Analysis of Matched Pairs (One Case and One Control)
Estimating the Odds Ratio
Testing the Equality of Marginal Distributions
Statistical Analysis of Clustered Binary Data
Testing Homogeneity
Inference on the Common Odds Ratio
Measure of Interclinician Agreement for Categorical Data
Agreement in 2x2 Tables (Two Clinicians and Two Categories)
Confidence Interval on Kappa in 2x2 Table
Agreement between Two Raters with Multiple Categories
More than Two Clinicians
Assessment of Bias
Statistical Analysis of Medical Screening Tests
Introduction
Estimating Prevalence
Estimating Predictive Value Positive and Predictive Value Negative
Estimation in Double Sampling
Dependent Screening Tests (Multiple Readings)
Estimation of Parameters
Special Topics
Group Testing
Evaluating the Performance of Medical Screening Tests in the Absence of a Gold Standard (Latent Class Models)
LOGISTIC REGRESSION
Introduction
The Logistic Transformation
Coding Categorical Explanatory Variables and Interpretation of Coefficients
Interaction and Confounding
The Goodness of Fit and Model Comparisons
Pearson's X

Editorial Reviews

"…although the book is apparently intended for non-statisticians, it covers material well beyond an introductory course."
Biometrics, Vol. 56, No. 2, June 2000