Probabilistic bias analysis in pharmacoepidemiology and comparative effectiveness research: a systematic review.

ABSTRACT:

Purpose

We systematically reviewed pharmacoepidemiologic and comparative effectiveness studies that use probabilistic bias analysis to quantify the effects of systematic error including confounding, misclassification, and selection bias on study results.

Methods

We found articles published between 2010 and October 2015 through a citation search using Web of Science and Google Scholar and a keyword search using PubMed and Scopus. Eligibility of studies was assessed by one reviewer. Three reviewers independently abstracted data from eligible studies.

Results

Fifteen studies used probabilistic bias analysis and were eligible for data abstraction-nine simulated an unmeasured confounder and six simulated misclassification. The majority of studies simulating an unmeasured c

SUBMITTER: Hunnicutt JN 

PROVIDER: S-EPMC5272921 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature