Literature DB >> 21949475

Discussion of "Missing Data Methods in Longitudinal Studies: A Review" by Ibrahim and Molenberghs.

Michael J Daniels, Chenguang Wang.   

Abstract

Entities:  

Year:  2009        PMID： 21949475      PMCID： PMC3178337          DOI： 10.1007/s11749-009-0141-2

Source DB:  PubMed          Journal:  Test (Madr)        ISSN： 1133-0686            Impact factor:   2.345


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  8 in total

1.  An alternative parameterization of the general linear mixture model for longitudinal data with non-ignorable drop-outs.

Authors:  G M Fitzmaurice; N M Laird; L Shneyer
Journal:  Stat Med       Date:  2001-04-15       Impact factor: 2.373

2.  Marginally specified logistic-normal models for longitudinal binary data.

Authors:  P J Heagerty
Journal:  Biometrics       Date:  1999-09       Impact factor: 2.571

3.  Marginalized transition models and likelihood inference for longitudinal categorical data.

Authors:  Patrick J Heagerty
Journal:  Biometrics       Date:  2002-06       Impact factor: 2.571

4.  Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes.

Authors:  Daniel O Scharfstein; Michael J Daniels; James M Robins
Journal:  Biostatistics       Date:  2003-10       Impact factor: 5.899

5.  A simple local sensitivity analysis tool for nonignorable coarsening: application to dependent censoring.

Authors:  Jiameng Zhang; Daniel F Heitjan
Journal:  Biometrics       Date:  2006-12       Impact factor: 2.571

6.  A general class of pattern mixture models for nonignorable dropout with many possible dropout times.

Authors:  Jason Roy; Michael J Daniels
Journal:  Biometrics       Date:  2007-09-26       Impact factor: 2.571

7.  A hybrid model for nonignorable dropout in longitudinal binary responses.

Authors:  Kenneth J Wilkins; Garrett M Fitzmaurice
Journal:  Biometrics       Date:  2006-03       Impact factor: 2.571

8.  A note on MAR, identifying restrictions, model comparison, and sensitivity analysis in pattern mixture models with and without covariates for incomplete data.

Authors:  Chenguang Wang; Michael J Daniels
Journal:  Biometrics       Date:  2011-03-01       Impact factor: 2.571
  8 in total
  2 in total

1.  A note on MAR, identifying restrictions, model comparison, and sensitivity analysis in pattern mixture models with and without covariates for incomplete data.

Authors:  Chenguang Wang; Michael J Daniels
Journal:  Biometrics       Date:  2011-03-01       Impact factor: 2.571

2.  Patterns of Hospital Performance on the Hospital-Wide 30-Day Readmission Metric: Is the Playing Field Level?

Authors:  Erik H Hoyer; William V Padula; Daniel J Brotman; Natalie Reid; Curtis Leung; Diane Lepley; Amy Deutschendorf
Journal:  J Gen Intern Med       Date:  2017-10-02       Impact factor: 5.128
  2 in total

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