Introduction: 1: Introduction: The Biodemography of Complex Relationships among Aging, Health, and Longevity
Part I: Informational on Aging, Health, and Longevity from Available Data.: 2: Age Trajectories of Physiological Indices: Which Factors Influence Them?
3: Health Effects and Medicare Trajectories: Population-Based Analysis of Morbidity and Mortality Patterns
4: Evidence for Dependence among Diseases
5: Factors that May Increase Vulnerability to Cancer and Longevity in Modern Human Populations
6: Medical Cost Trajectories and Onsets of Age-Associated Diseases
7: Indices of Cumulative Deficits
8: Dynamic Characteristics of Aging-related Changes as Predictors of Longevity and Healthy Lifespan
9: The Complex Role of Genes in Diseases and Traits in Late Life: An Example of the Apolipoprotein E Polymorphism
10: Conclusions Regarding Empirical Patterns of Aging, Health, and Longevity
Part II: Statistical Modeling of Aging, Health, and Longevity
11: Approaches to Statistical Analysis of longitudinal Data on Aging, Health, and Longevity: Biodemographic Perspectives
12: Stochastic Process Models of Mortality and Aging
13: The Latent Class Stochastic Process Model for Evaluation of Hidden Heterogeneity in Longitudinal Data
14: How Biodemographic Approaches Can Improve Statistical Power in Genetic Analyses of Longitudinal Data on Aging, Health, and Longevity
15: Integrative Mortality Models with Parameters that Have Biological Interpretations
16: Integrative Mortality Models for the Study of Aging, Health, and Longevity: Benefits of Combining Data
17: Analysis of the Natural History of Dementia Using Longitudinal Grade of Membership Models
18: Linear Latent Structure Analysis: Modeling High-Dimensional Survey Data
19: Conclusions Regarding Statistical Modeling of Aging, Health, and Longevity
Part III: Conclusions: Continuing the Search for Determinants of Healthy Life Span and Longevity.