Statistical Models for Longitudinal Studies of Health.

Abstract

Introduction to statistical models for longitudinal observation, James Dwyer and Manning Feinleib Considerations in the design of longitudinal surveys of health, Lester Curtin and Manning Feinleib: PART I: MODELS FOR CONTINUOUS VARIABLES: Linear differential equation models for longitudinal data: Application: blood pressure and relative weight, James Dwyer Unconditional linear models for longitudinal data: Application: lead exposure and cognitive development in infants, Christine Waternaux, Nan Laird and James Ware Conditional linear models for longitudinal data: Application: cigarette smoking and respiratory function in adolescents, Bernard Rosner and Alvara Munoz Linear structural equation modelling with non-normal continuous variables: Application: relations among social support, drug use and health in young adults, Peter Bentler and Michael Newcomb: PART II MODELS FOR CATEGORICAL DATA: Use of the logistic and related models in longitudinal studies of chronic disease risk: Application: coronary heart disease mortality in Framingham, Norman Breslow Generalized linear models for longitudinal data: Application: xeropthalmia in Indonesia, Lawrence Moulton Some aspects of weighted least-squares analysis for longitudinal categorical data: Application: clinical trial of treatment for skin disorder, Garry Koch, Julio Singer and Maura Stokes: PART III: SPECIAL PROBLEMS IN THE MODELLING OF LONGITUDINAL OBSERVATIONS: Non-random attrition in the Framingham Heart Study: Application: age trends in blood pressure, Manning Feinleib and Joan Pinsky.