Letter to the Editor: Pulling Unmeasured Confounding Out by your Bootstraps: Too Good to be True? - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Statistical Research Année : 2022

Letter to the Editor: Pulling Unmeasured Confounding Out by your Bootstraps: Too Good to be True?

Résumé

Inverse probability of treatment weighting can account for confounding under a number of assumptions, including that of no unmeasured confounding. A recent simulation study proposed a bootstrap bias correction, apparently demonstrating good performance in removing bias due to unmeasured confounding. We revisited the simulations, finding no evidence of bias reduction.

Dates et versions

hal-03627207 , version 1 (01-04-2022)

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Citer

Corentin Segalas, Clemence Leyrat, Elizabeth Williamson. Letter to the Editor: Pulling Unmeasured Confounding Out by your Bootstraps: Too Good to be True?. Journal of Statistical Research, 2022, 55 (2), pp.293-297. ⟨10.3329/jsr.v55i2.58806⟩. ⟨hal-03627207⟩
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