Imputation of systematically missing predictors in an individual participant data meta‐analysis: a generalized approach using MICE

Publisher： John Wiley & Sons Inc

E-ISSN： 1097-0258|34|11|1841-1863

ISSN： 0277-6715

Source： STATISTICS IN MEDICINE, Vol.34, Iss.11, 2015-05, pp. : 1841-1863

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Multivariate meta‐analysis using individual participant data

By  

RESEARCH SYNTHESIS METHODS, Vol. 6, Iss. 2, 2015-06 ,pp. : 157-174

John Wiley & Sons Inc

Access to resources Recommend Favorite

Multiple imputation for harmonizing longitudinal non‐commensurate measures in individual participant data meta‐analysis

By  

STATISTICS IN MEDICINE, Vol. 34, Iss. 26, 2015-11 ,pp. : 3399-3414

John Wiley & Sons Inc

Access to resources Recommend Favorite

Meta‐analysis of time‐to‐event outcomes from randomized trials using restricted mean survival time: application to individual participant data

By  

STATISTICS IN MEDICINE, Vol. 34, Iss. 21, 2015-09 ,pp. : 2881-2898

John Wiley & Sons Inc

Access to resources Recommend Favorite

Meta‐analysis of a continuous outcome combining individual patient data and aggregate data: a method based on simulated individual patient data

By  

RESEARCH SYNTHESIS METHODS, Vol. 5, Iss. 4, 2014-12 ,pp. : 322-351

John Wiley & Sons Inc

Access to resources Recommend Favorite

Missing value imputation strategies for metabolomics data

By  

ELECTROPHORESIS, Vol. 36, Iss. 24, 2015-12 ,pp. : 3050-3060

John Wiley & Sons Inc

Access to resources Recommend Favorite