Literature DB >> 12933616

Strategies to fit pattern-mixture models.

Herbert Thijs1, Geert Molenberghs, Bart Michiels, Geert Verbeke, Desmond Curran.   

Abstract

Whereas most models for incomplete longitudinal data are formulated within the selection model framework, pattern-mixture models have gained considerable interest in recent years (Little, 1993, 1994). In this paper, we outline several strategies to fit pattern-mixture models, including the so-called identifying restrictions strategy. Multiple imputation is used to apply this strategy to realistic settings, such as quality-of-life data from a longitudinal study on metastatic breast cancer patients.

Entities:  

Year:  2002        PMID: 12933616     DOI: 10.1093/biostatistics/3.2.245

Source DB:  PubMed          Journal:  Biostatistics        ISSN: 1465-4644            Impact factor:   5.899


  29 in total

1.  A Bayesian Shrinkage Model for Incomplete Longitudinal Binary Data with Application to the Breast Cancer Prevention Trial.

Authors:  C Wang; M J Daniels; D O Scharfstein; S Land
Journal:  J Am Stat Assoc       Date:  2010-12       Impact factor: 5.033

2.  Application of the Pattern-Mixture Latent Trajectory Model in an Epidemiological Study with Non-Ignorable Missingness.

Authors:  Hiroko H Dodge; Changyu Shen; Mary Ganguli
Journal:  J Data Sci       Date:  2008-04-01

3.  A Bayesian model for longitudinal count data with non-ignorable dropout.

Authors:  Niko A Kaciroti; Trivellore E Raghunathan; M Anthony Schork; Noreen M Clark
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2008-12-01       Impact factor: 1.864

4.  Handling missing quality of life data in HIV clinical trials: what is practical?

Authors:  Diane L Fairclough; Herbert Thijs; I-Chan Huang; Henrik W Finnern; Albert W Wu
Journal:  Qual Life Res       Date:  2007-12-11       Impact factor: 4.147

5.  A Latent Transition Analysis Model for Latent-State-Dependent Nonignorable Missingness.

Authors:  Sonya K Sterba
Journal:  Psychometrika       Date:  2016-06       Impact factor: 2.500

6.  Bayesian modeling and inference for clinical trials with partial retrieved data following dropout.

Authors:  Qingxia Chen; Ming-Hui Chen; David Ohlssen; Joseph G Ibrahim
Journal:  Stat Med       Date:  2013-04-26       Impact factor: 2.373

7.  Effect of Demographic Risk Factors on the Change in Cognitive Function in the Presence of Non-Participation and Truncation due to Death.

Authors:  Kumar B Rajan; Sue E Leurgans; Jennifer Weuve; Todd L Beck; Denis A Evans
Journal:  J Biom Biostat       Date:  2011-11-18

8.  Sensitivity analysis for a partially missing binary outcome in a two-arm randomized clinical trial.

Authors:  Victoria Liublinska; Donald B Rubin
Journal:  Stat Med       Date:  2014-05-20       Impact factor: 2.373

9.  Beyond normality in the study of bereavement: heterogeneity in depression outcomes following loss in older adults.

Authors:  Isaac R Galatzer-Levy; George A Bonanno
Journal:  Soc Sci Med       Date:  2012-03-20       Impact factor: 4.634

10.  Imputation-based strategies for clinical trial longitudinal data with nonignorable missing values.

Authors:  Xiaowei Yang; Jinhui Li; Steven Shoptaw
Journal:  Stat Med       Date:  2008-07-10       Impact factor: 2.373

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