Missing data: A statistical framework for practice-Reference-Cited by-同舟云学术

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Missing data: A statistical framework for practice

Published:2021-02-24 Issue:5 Volume:63 Page:915-947
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical Journal

Author:

Carpenter James R.¹²^ORCID,Smuk Melanie¹^ORCID

Affiliation:

1. Department of Medical Statistics London School of Hygiene & Tropical Medicine London UK

2. MRC Clinical Trials Unit at UCL London UK

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202000196

Reference91 articles.

1. Reference‐based sensitivity analysis for time‐to‐event data

2. Asymptotically Unbiased Estimation of Exposure Odds Ratios in Complete Records Logistic Regression

3. Multiple Imputation of Covariates by Substantive-model Compatible Fully Conditional Specification

4. Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model

5. Missing covariates in competing risks analysis

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