Paper Info
Title
A comparison of balancing scores for estimating rate ratios of count data in observational studies
Abstract
In this article, we conduct a Monte Carlo study to examine four balancing scores (BS1: propensity score, BS2: prognostic score, BS3: adjusted propensity score estimated by the estimated prognostic score, and BS4: adjusted propensity score estimated by the estimated prognostic score and other covariates) for adjusting bias in estimating the marginal and the conditional rate ratios of count data in observational studies. Simulation results show that BS1-BS4 are not much different in terms of estimating the marginal and the conditional rate ratios, however, choosing the appropriate matching algorithm is more important than selecting a balancing scores.
Year
DOI
Venue
2017
10.1080/03610918.2014.978941
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Keywords
DocType
Volume
Count data,Matching,Observational studies,Prognostic score,Propensity score
Journal
46
Issue
ISSN
Citations 
1
0361-0918
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
chunhao tu100.68
woon yuen koh200.68