Analysis of Correlated Data with SAS and R, Third Edition

Published:
December 16, 1998 by CRC Press - 400 Pages
Author(s):
Mohamed M. Shoukri, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia; Cheryl Cihon, Bayer Healthcare, Pharmaceuticals, West Haven, Connecticut,

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ISBN 9780849310959
Cat# 1095
 

Features

  • 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

    • Summary

    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.

    Table of Contents

    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

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