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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 prop...
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| 出版年: | Stat Methods Med Res |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
SAGE Publications
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5051604/ https://ncbi.nlm.nih.gov/pubmed/24525488 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280214521341 |
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