Inverse probability weighting is an effective method to address selection bias during the analysis of high dimensional data

• Published in: Genetic epidemiology Vol. 45; no. 6; pp. 593 - 603
• Main Authors: Carry, Patrick M., Vanderlinden, Lauren A., Dong, Fran, Buckner, Teresa, Litkowski, Elizabeth, Vigers, Timothy, Norris, Jill M., Kechris, Katerina
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc 01.09.2021
• Subjects: Age; Bacon; Bias; DAISY; DNA methylation; DNA probes; Genomics; inverse probability weighting; selection bias

Omics studies frequently use samples collected during cohort studies. Conditioning on sample availability can cause selection bias if sample availability is nonrandom. Inverse probability weighting (IPW) is purported to reduce this bias. We evaluated IPW in an epigenome‐wide analysis testing the ass...