Bootstrap-after-Bootstrap Model Averaging for Reducing Model Uncertainty in Model Selection for Air Pollution Mortality Studies
Background: Concerns have been raised about findings of associations between particulate matter (PM) air pollution and mortality that have been based on a single "best" model arising from a model selection procedure, because such a strategy may ignore model uncertainty inherently involved in searching through a set of candidate models to find the best model. Model averaging has been proposed as a method of allowing for model uncertainty in this context. Objectives: To propose an extension...[Show more]
|Collections||ANU Research Publications|
|Source:||Environmental Health Perspectives|
|01_Roberts_Bootstrap-after-Bootstrap_2010.pdf||847.04 kB||Adobe PDF||Request a copy|
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