Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2288
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure ; volume:20 ; number:1 ; day:26 ; month:6 ; year:2020 ; pages:1-14 ; date:12.2020
BMC medical research methodology ; 20, Heft 1 (26.6.2020), 1-14, 12.2020
- Creator
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Coffman, Donna L.
Zhou, Jiangxiu
Cai, Xizhen
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12874-020-01053-4
- URN
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urn:nbn:de:101:1-2020082719301710930215
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:02 AM CEST
Data provider
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Associated
- Coffman, Donna L.
- Zhou, Jiangxiu
- Cai, Xizhen
- SpringerLink (Online service)
Other Objects (12)
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Application of the propensity score in a covariate-based linkage analysis of the Collaborative Study on the Genetics of Alcoholism
Identification in a binary choice panel data model with a predetermined covariate
Identification in a binary choice panel data model with a predetermined covariate
Identification in a binary choice panel data model with a predetermined covariate
Comprehensive statistical analysis reveals significant benefits of COVID-19 vaccination in hospitalized patients: propensity score, covariate adjustment, and feature importance by permutation
Modelling of covariate information in multicentre studies with binary outcome using profile likelihood
Automated Bayesian variable selection methods for binary regression models with missing covariate data
Die Anwendung der Propensity-Score-Methode
Head to head comparison of the propensity score and the high-dimensional propensity score matching methods
Prognostic score-based model averaging approach for propensity score estimation
Covariate balance-related propensity score weighting in estimating overall hazard ratio with distributed survival data
Evaluation of multiple imputation approaches for handling missing covariate information in a case-cohort study with a binary outcome
Application of the propensity score in a covariate-based linkage analysis of the Collaborative Study on the Genetics of Alcoholism
Identification in a binary choice panel data model with a predetermined covariate
Identification in a binary choice panel data model with a predetermined covariate
Identification in a binary choice panel data model with a predetermined covariate
Comprehensive statistical analysis reveals significant benefits of COVID-19 vaccination in hospitalized patients: propensity score, covariate adjustment, and feature importance by permutation
Modelling of covariate information in multicentre studies with binary outcome using profile likelihood
Automated Bayesian variable selection methods for binary regression models with missing covariate data
Die Anwendung der Propensity-Score-Methode
Head to head comparison of the propensity score and the high-dimensional propensity score matching methods
Prognostic score-based model averaging approach for propensity score estimation
Covariate balance-related propensity score weighting in estimating overall hazard ratio with distributed survival data
Evaluation of multiple imputation approaches for handling missing covariate information in a case-cohort study with a binary outcome
Application of the propensity score in a covariate-based linkage analysis of the Collaborative Study on the Genetics of Alcoholism
Identification in a binary choice panel data model with a predetermined covariate
Identification in a binary choice panel data model with a predetermined covariate
Identification in a binary choice panel data model with a predetermined covariate
Comprehensive statistical analysis reveals significant benefits of COVID-19 vaccination in hospitalized patients: propensity score, covariate adjustment, and feature importance by permutation
Modelling of covariate information in multicentre studies with binary outcome using profile likelihood
Automated Bayesian variable selection methods for binary regression models with missing covariate data
Die Anwendung der Propensity-Score-Methode
Head to head comparison of the propensity score and the high-dimensional propensity score matching methods