Evaluating treatment effectiveness under model misspecification: A comparison of targeted maximum likelihood estimation with bias-corrected matching
نویسندگان
چکیده
منابع مشابه
Evaluating treatment effectiveness under model misspecification: A comparison of targeted maximum likelihood estimation with bias-corrected matching
Statistical approaches for estimating treatment effectiveness commonly model the endpoint, or the propensity score, using parametric regressions such as generalised linear models. Misspecification of these models can lead to biased parameter estimates. We compare two approaches that combine the propensity score and the endpoint regression, and can make weaker modelling assumptions, by using mac...
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ژورنال
عنوان ژورنال: Statistical Methods in Medical Research
سال: 2016
ISSN: 0962-2802,1477-0334
DOI: 10.1177/0962280214521341