Goodness-of-fit testing of log-link models for categorical outcome data [ 2008 - 2013 ]

Research Grant

Researchers: Prof Christopher Blizzard (Principal investigator) ,  Dr Stephen Quinn ,  E/Pr David Hosmer

Brief description Information about the health consequences of exposure to causal factors is obtained from mathematical models of observed data. Incorrect inferences are possible if the model does not adequately represent the data. Relative risk models are recommended for observations over time on a cohort of subjects, but it is not known how best to assess the adequacy of such models. This project will assess the performance of summary measures of goodness-of-fit when applied to relative risk models.

Funding Amount $AUD 260,863.00

Funding Scheme NHMRC Project Grants

Notes Standard Project Grant