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Center for Global Research Data

Assessment of Matching Methods for Causal Analysis.

Lead Investigator: Karl Peace, Jiann-Ping Hsu College of Public Health, Georgia Southern University
Title of Research Proposal: Assessment of Matching Methods for Causal Analysis.
Vivli Data Request: 4037
Funding Source: None
Potential Conflicts of Interest: None
Summary of the Proposed Research:
Matching is commonly used in comparative observational studies where research subjects cannot be randomly assigned to comparison groups.
There are circumstances in which randomization is not a practical nor ethical way to assign subjects to groups being compared. For example, we cannot assign patients to smoke or not to evaluate the impact of smoking on lung function. In such circumstances, matching is used to reduce bias.
It is used more often in case-control studies than in cohort studies. It is also used in clinical trials. Matching is very important in increasing the efficiency of a study (Faresjo & Faresjo, 2010).
Sponsor: Boehringer Ingelheim
Study ID: NCT00860262
Sponsor ID: 1235.20

 

This is simulated data which would be used to compare different matching methods to identify the best method that would be applied to the requested data.
Data Contributor: I WILL BRING MY OWN
Study ID: Simulated antihypertensive clinical trial data

Update: This data request was withdrawn on 5 December 2019 by the researcher.