A hidden Markov model to identify and adjust for selection bias: an example involving mixed migration strategies.

ABSTRACT: An important assumption in observational studies is that sampled individuals are representative of some larger study population. Yet, this assumption is often unrealistic. Notable examples include online public-opinion polls, publication biases associated with statistically significant results, and in ecology, telemetry studies with significant habitat-induced probabilities of missed locations. This problem can be overcome by modeling selection probabilities simultaneously with other predictor-response relationships or by weighting observations by inverse selection probabilities. We illustrate the problem and a solution when modeling mixed migration strategies of northern white-tailed deer (Odocoileus virginianus). Captures occur on winter yards where deer migrate in response to changing e

SUBMITTER: Fieberg JR 

PROVIDER: S-EPMC4063483 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature