Adaptive propensity score procedure improves matching in prospective observational trials.

Abstract:

BACKGROUND:Randomized controlled trials are the gold-standard for clinical trials. However, randomization is not always feasible. In this article we propose a prospective and adaptive matched case-control trial design assuming that a control group already exists. METHODS:We propose and discuss an interim analysis step to estimate the matching rate using a resampling step followed by a sample size recalculation. The sample size recalculation is based on the observed mean resampling matching rate. We applied our approach in a simulation study and to a real data set to evaluate the characteristics of the proposed design and to compare the results to a naive approach. RESULTS:The proposed design achieves at least 10% higher matching rate than the naive approach at final analysis, thus providing a better estimation of the true matching rate. A good choice for the interim analysis seems to be a fraction of around [Formula: see text] to [Formula: see text] of the control patients. CONCLUSION:The proposed resampling step in a prospective matched case-control trial design leads to an improved estimate of the final matching rate and, thus, to a gain in power of the approach due to sensible sample size recalculation.

journal_name

BMC Med Res Methodol

authors

Weber D,Uhlmann L,Schönenberger S,Kieser M

doi

10.1186/s12874-019-0763-3

subject

Has Abstract

pub_date

2019-07-16 00:00:00

pages

150

issue

1

issn

1471-2288

pii

10.1186/s12874-019-0763-3

journal_volume

19

pub_type

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