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   Articles with "missing outcome" as a keyword



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Doubly robust estimation of the causal effects in the causal inference with missing outcome data

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recommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"

DOI: 10.1007/s12652-018-0957-2

Abstract: The goal of this article is to attempt to develop doubly robust (DR) estimator in the causal inference with ignorable missing outcome data. In the causal inference with missing outcome data, an estimator is doubly… read more here.

Keywords: outcome data; estimator; causal inference; missing outcome ... See more keywords
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A guidance was developed to identify participants with missing outcome data in randomized controlled trials.

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recommendations! Published in 2019 at "Journal of clinical epidemiology"

DOI: 10.1016/j.jclinepi.2019.07.003

Abstract: BACKGROUND In order for authors of systematic reviews to address missing data in randomized controlled trials (RCTs), they need to first identify the number of trial participants with missing data. OBJECTIVE To provide guidance for… read more here.

Keywords: outcome data; identify participants; guidance; missing data ... See more keywords
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Missing Outcome Data in Epidemiologic Studies.

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recommendations! Published in 2022 at "American journal of epidemiology"

DOI: 10.1093/aje/kwac179

Abstract: Missing data are pandemic and a central problem for epidemiology. Missing data reduce precision and can cause notable bias. There remain too few simple published examples detailing types of missing data and illustrating their possible… read more here.

Keywords: missing random; outcome data; missing data; data epidemiologic ... See more keywords
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Sensitivity Analyses for Means or Proportions with Missing Outcome Data.

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recommendations! Published in 2023 at "Epidemiology"

DOI: 10.1097/ede.0000000000001627

Abstract: We describe an approach to sensitivity analysis introduced by Robins and colleagues, for the setting where the outcome is missing for some observations. This flexible approach focuses on the relationship between the outcomes and missingness,… read more here.

Keywords: sensitivity analyses; proportions missing; means proportions; sensitivity ... See more keywords