Multiple imputation for handling missing outcome data when estimating the relative risk
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2288
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Multiple imputation for handling missing outcome data when estimating the relative risk ; volume:17 ; number:1 ; day:6 ; month:9 ; year:2017 ; pages:1-10 ; date:12.2017
BMC medical research methodology ; 17, Heft 1 (6.9.2017), 1-10, 12.2017
- Keyword
-
Epidemiologie
Epidemie
- Creator
-
Sullivan, Thomas R.
- Contributor
-
Lee, Katherine J.
Ryan, Philip
Salter, Amy B.
SpringerLink (Online service)
- DOI
-
10.1186/s12874-017-0414-5
- URN
-
urn:nbn:de:1111-2017111113943
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.11.0154, 6:31 AM CET
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
- Sullivan, Thomas R.
- Lee, Katherine J.
- Ryan, Philip
- Salter, Amy B.
- SpringerLink (Online service)
Other Objects (12)
Comparison of imputation methods for handling missing categorical data with univariate pattern
Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics
Missing Data, Imputation, and Endogeneity
Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework
Missing value imputation for epistatic MAPs
Multiple imputation for non-response when estimating HIV prevalence using survey data
Identify the most appropriate imputation method for handling missing values in clinical structured datasets: a systematic review
Fast accurate missing SNP genotype local imputation
SICE: an improved missing data imputation technique
Imputation of missing values in lipidomic datasets
Estimating the accuracy of geographical imputation
IMPUTATION OF MISSING VALUES BY USING RAW MOMENTS
Comparison of imputation methods for handling missing categorical data with univariate pattern
Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics
Missing Data, Imputation, and Endogeneity
Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework
Missing value imputation for epistatic MAPs
Multiple imputation for non-response when estimating HIV prevalence using survey data
Identify the most appropriate imputation method for handling missing values in clinical structured datasets: a systematic review
Fast accurate missing SNP genotype local imputation
SICE: an improved missing data imputation technique
Imputation of missing values in lipidomic datasets
Estimating the accuracy of geographical imputation
IMPUTATION OF MISSING VALUES BY USING RAW MOMENTS
Comparison of imputation methods for handling missing categorical data with univariate pattern
Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics
Missing Data, Imputation, and Endogeneity
Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework
Missing value imputation for epistatic MAPs
Multiple imputation for non-response when estimating HIV prevalence using survey data
Identify the most appropriate imputation method for handling missing values in clinical structured datasets: a systematic review
Fast accurate missing SNP genotype local imputation
SICE: an improved missing data imputation technique
Imputation of missing values in lipidomic datasets
Estimating the accuracy of geographical imputation