Forum for causal interference: Lecture by Dr. Mollie Wood

Lecture by Mollie Wood, Postdoctoral research fellow at the PharmaSafe group and member of the PharmaTOX Strategic Research Initiative, University of Oslo

In the course of the bimonthly Forum for causal interference hosted by the Department of Biostatistics, postdoctoral researcher Mollie Wood will be giving a lecture with the title:

"Exposure misclassification and propensity score methods: a simulation study"

Time and place: 24 February 2016 at 14.30, Domus Medica, Seminar Room 2240

Abstract: Propensity score (PS) methods reduce bias in observational studies under certain assumptions. These methods are often employed in large databases, including administrative claims data and drug registries, where misclassification of the exposure is likely. We conducted a simulation study to compare the bias and variance obtained from three common PS implementations (adjustment, matching, and stratification) for varying degrees of nondifferential exposure misclassification. Our simulation is based on realistic parameters from the Norwegian Mother and Child Cohort Study, and mimics an example where the true effect of medication exposure causes a substantial reduction in birth weight.

We are hoping to welcome as many of you as possible.

Published Feb. 15, 2016 12:56 PM - Last modified Apr. 15, 2016 12:00 PM