Session I - An Overview of current issues in life history studies - 1
Salle(s) de réunion : 6214

This day will be devoted to the discussion of some particular large cohort studies including the Womens Health Initiative and the Ontario Health Study. Additional talks will survey methodological issues involving the management of kidney transplant registries and genetic epidemiology for chronic disease processes

Session I - An Overview of current issues in life history studies - 2
Salle(s) de réunion : 6214

Session - Chaire Aisenstadt Chair
Salle(s) de réunion : 6214

Session II - Joint models for longitudinal and event history data
Salle(s) de réunion : 6214

This session will be devoted to the discussion of approaches to the construction of joint models for longitudinal data and lifetime event data. The importance of adopting modeling frameworks which address the needs of particular applications will be emphasized. Applications involving cancer biomarkers and markers of chronic disease processes such as diabetes will be considered.

Session III - Incomplete or mismeasured covariate data
Salle(s) de réunion : 6214

Longitudinal and life history studies routinely involve incomplete response or covariate data. In many cases the response or covariate values are difficult to observe directly and more easily determined surrogate or auxillary variables are available instead. These represent the true response or covariate measured with error. Suitable methods for addressing these missing or mismeasured data problems will be reviewed including modelling strategies, imputation, and inverse weighted estimating equations.

Session IV - Predictive models for lifetime events
Salle(s) de réunion : 6214

There is an increasing interest in the development of statistical methods for the prediction of outcomes in individual subjects arising from the desire to advance the field of personalized medicine. Such models and methods can be used both to classify individuals into risk groups and also to guide treatment decisions based on patient characteristics at diagnosis and preliminary response to treatment. Criteria for assessing the predictive ability of models will be considered along with suitable strategies for model validation and inference.

Session V - Statistical models and methods for multivariate and clustered lifetime data
Salle(s) de réunion : 6214

Strategies for the construction of multivariate models will be considered including those based on random effect or frailty models, copula functions and multistate models. Merits of these different approaches will be considered for assessing the effect of cluster-level and within-cluster covariates. Particular scientific studies including twin and family studies will be used as the basis for discussion.

Session VI - Response-biased sampling
Salle(s) de réunion : 6214

Epidemiological studies often involve a response-biased design for reasons of efficiency in cost and time. Such studies have received increased attention in recent years with the development of nested case-control and case-cohort designs. Strategies for the efficient selection of patients and robust analysis will be considered in this session for a variety of settings including disease history studies and genetic epidemiology studies.

Session VII - Issues in the analysis of complex life history processes
Salle(s) de réunion : 6214

This session will involve the study of approaches to modeling complex life history data with particular attention given to time-varying covariate processes, multiple types of life time events, and multistate models. The utility of latent variable (parameter-driven) models and data-driven models will be debated.