Correcting for misclassification and selection effects in estimating net survival in clinical trials
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2288
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Correcting for misclassification and selection effects in estimating net survival in clinical trials ; volume:19 ; number:1 ; day:16 ; month:5 ; year:2019 ; pages:1-14 ; date:12.2019
BMC medical research methodology ; 19, Heft 1 (16.5.2019), 1-14, 12.2019
- Creator
-
Goungounga, Juste Aristide
Touraine, Célia
Grafféo, Nathalie
Giorgi, Roch
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12874-019-0747-3
- URN
-
urn:nbn:de:101:1-2019100122454442191549
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:26 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
- Goungounga, Juste Aristide
- Touraine, Célia
- Grafféo, Nathalie
- Giorgi, Roch
- SpringerLink (Online service)
Other Objects (12)
Estimating and correcting the effects of model selection uncertainty
Estimating and correcting the effects of model selection uncertainty
CUI-Net: a correcting uneven illumination net for low-light image enhancement
Trial Selection and Estimating Damages Equations
COMPare: a prospective cohort study correcting and monitoring 58 misreported trials in real time
Correcting for Self-selection Based Endogeneity in Management Research: Review, Recommendations and Simulations
Performance-Related Pay and Objective Measures of Health after Correcting for Sample Selection
Correcting for Self-selection Based Endogeneity in Management Research : Review, Recommendations and Simulations
Estimating Selection Models without Instrument with Stata
Efficiently Correcting Matrix Products
Correcting for multiple-testing in multi-arm trials: is it necessary and is it done?
Improved method for correcting sample Mahalanobis distance without estimating population eigenvalues or eigenvectors of covariance matrix
Estimating and correcting the effects of model selection uncertainty
Estimating and correcting the effects of model selection uncertainty
CUI-Net: a correcting uneven illumination net for low-light image enhancement
Trial Selection and Estimating Damages Equations
COMPare: a prospective cohort study correcting and monitoring 58 misreported trials in real time
Correcting for Self-selection Based Endogeneity in Management Research: Review, Recommendations and Simulations
Performance-Related Pay and Objective Measures of Health after Correcting for Sample Selection
Correcting for Self-selection Based Endogeneity in Management Research : Review, Recommendations and Simulations
Estimating Selection Models without Instrument with Stata
Efficiently Correcting Matrix Products
Correcting for multiple-testing in multi-arm trials: is it necessary and is it done?
Improved method for correcting sample Mahalanobis distance without estimating population eigenvalues or eigenvectors of covariance matrix
Estimating and correcting the effects of model selection uncertainty
Estimating and correcting the effects of model selection uncertainty
CUI-Net: a correcting uneven illumination net for low-light image enhancement
Trial Selection and Estimating Damages Equations
COMPare: a prospective cohort study correcting and monitoring 58 misreported trials in real time
Correcting for Self-selection Based Endogeneity in Management Research: Review, Recommendations and Simulations
Performance-Related Pay and Objective Measures of Health after Correcting for Sample Selection
Correcting for Self-selection Based Endogeneity in Management Research : Review, Recommendations and Simulations
Estimating Selection Models without Instrument with Stata
Efficiently Correcting Matrix Products
Correcting for multiple-testing in multi-arm trials: is it necessary and is it done?