Issue Information - Info Page.
- Published in:
- Statistics in Medicine, 2016, v. 35, n. 17, p. 2850, doi. 10.1002/sim.6688
- Publication type:
- Article
Works matching IS 02776715 AND DT 2016 AND VI 35 AND IP 17
Results: 17
1
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Dealing with missing covariates in epidemiologic studies: a comparison between multiple imputation and a full Bayesian approach.
- Published in:
- 2016
- By:
- Publication type:
- journal article
3
Issue Information - TOC.
- Published in:
- Statistics in Medicine, 2016, v. 35, n. 17, p. 2851, doi. 10.1002/sim.6686
- Publication type:
- Article
4
Issue Information - Title Page.
- Published in:
- Statistics in Medicine, 2016, v. 35, n. 17, p. 2849, doi. 10.1002/sim.6687
- Publication type:
- Article
5
Sensitivity analysis for missing data in regulatory submissions.
- Published in:
- 2016
- By:
- Publication type:
- journal article
6
Analyzing clinical trial outcomes based on incomplete daily diary reports.
- Published in:
- 2016
- By:
- Publication type:
- journal article
7
Comments on the three papers by the FDA/CDER research team on the regulatory perspective of the missing data problem.
- Published in:
- 2016
- By:
- Publication type:
- journal article
8
A regulatory perspective on missing data in the aftermath of the NRC report.
- Published in:
- 2016
- By:
- Publication type:
- journal article
9
A taxonomy of estimands for regulatory clinical trials with discontinuations.
- Published in:
- 2016
- By:
- Publication type:
- journal article
10
Multivariate test power approximations for balanced linear mixed models in studies with missing data.
- Published in:
- 2016
- By:
- Publication type:
- journal article
11
Commentary for the Missing Data Working Group's perspective for regulatory clinical trials, estimands, and sensitivity analyses.
- Published in:
- 2016
- By:
- Publication type:
- journal article
12
Fitting additive hazards models for case-cohort studies: a multiple imputation approach.
- Published in:
- 2016
- By:
- Publication type:
- journal article
13
A multiple imputation approach for MNAR mechanisms compatible with Heckman's model.
- Published in:
- 2016
- By:
- Publication type:
- journal article
14
Joint multiple imputation for longitudinal outcomes and clinical events that truncate longitudinal follow-up.
- Published in:
- 2016
- By:
- Publication type:
- journal article
15
Graphical and numerical diagnostic tools to assess suitability of multiple imputations and imputation models.
- Published in:
- 2016
- By:
- Publication type:
- journal article
16
Multiple imputation for IPD meta-analysis: allowing for heterogeneity and studies with missing covariates.
- Published in:
- 2016
- By:
- Publication type:
- journal article
17
Meta-analysis with missing study-level sample variance data.
- Published in:
- 2016
- By:
- Publication type:
- journal article