Simulation study - handling missing covariates in the context of external validation
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1745-6215
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Simulation study - handling missing covariates in the context of external validation ; volume:12 ; number:1 ; day:13 ; month:12 ; year:2011 ; pages:1 ; date:12.2011
Trials ; 12, Heft 1 (13.12.2011), 1, 12.2011
- Creator
-
Bonnett, Laura J.
- Contributor
-
Marson, Tony G.
Williamson, Paula R.
Tudur-Smith, Catrin
SpringerLink (Online service)
- DOI
-
10.1186/1745-6215-12-S1-A62
- URN
-
urn:nbn:de:1111-2016050224155
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:54 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Bonnett, Laura J.
- Marson, Tony G.
- Williamson, Paula R.
- Tudur-Smith, Catrin
- SpringerLink (Online service)
Other Objects (12)
Nonparametric regression with selectively missing covariates
Efficient probit estimation with partially missing covariates
Efficient probit estimation with partially missing covariates
Logistic regression with missing values in the covariates
Association between dietary polyphenols intake and an oxidative stress biomarker: interest of multiple imputation for handling missing covariates and outcomes
Handling missing data in ranked set sampling
A Two-Step Estimator for Missing Values in Probit Model Covariates
Strategies for handling missing data in randomised trials
Identifying missing data handling methods with text mining
Causal effect on a target population: A sensitivity analysis to handle missing covariates
Diagnosing and Handling Common Violations of Missing at Random
Class center-based firefly algorithm for handling missing data
Nonparametric regression with selectively missing covariates
Efficient probit estimation with partially missing covariates
Efficient probit estimation with partially missing covariates
Logistic regression with missing values in the covariates
Association between dietary polyphenols intake and an oxidative stress biomarker: interest of multiple imputation for handling missing covariates and outcomes
Handling missing data in ranked set sampling
A Two-Step Estimator for Missing Values in Probit Model Covariates
Strategies for handling missing data in randomised trials
Identifying missing data handling methods with text mining
Causal effect on a target population: A sensitivity analysis to handle missing covariates
Diagnosing and Handling Common Violations of Missing at Random
Class center-based firefly algorithm for handling missing data
Nonparametric regression with selectively missing covariates
Efficient probit estimation with partially missing covariates
Efficient probit estimation with partially missing covariates
Logistic regression with missing values in the covariates
Association between dietary polyphenols intake and an oxidative stress biomarker: interest of multiple imputation for handling missing covariates and outcomes
Handling missing data in ranked set sampling
A Two-Step Estimator for Missing Values in Probit Model Covariates
Strategies for handling missing data in randomised trials
Identifying missing data handling methods with text mining
Causal effect on a target population: A sensitivity analysis to handle missing covariates
Diagnosing and Handling Common Violations of Missing at Random