Literature DB >> 9549822

A comparative analysis of quality of life data from a Southwest Oncology Group randomized trial of advanced colorectal cancer.

A B Troxel1.   

Abstract

Longitudinal quality of life measurements from an advanced-stage cancer clinical trial are analysed using a variety of methods, and the results compared. The methods used require different assumptions about the mechanism that produces the missing data. They include analyses that require the data to be missing completely at random; fixed-effects models and weighted generalized estimating equations, which require missing at random data; and a fully parametric approach where the outcomes and the missingness mechanism are jointly modelled, allowing non-ignorable missing data. The data show evidence of non-random missingness, but a formal test of non-ignorable missing data is not significant.

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Year:  1998        PMID: 9549822     DOI: 10.1002/(sici)1097-0258(19980315/15)17:5/7<767::aid-sim820>3.0.co;2-b

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  3 in total

1.  Bayesian Sensitivity Analysis of Statistical Models with Missing Data.

Authors:  Hongtu Zhu; Joseph G Ibrahim; Niansheng Tang
Journal:  Stat Sin       Date:  2014-04       Impact factor: 1.261

2.  Local influence for generalized linear models with missing covariates.

Authors:  Xiaoyan Shi; Hongtu Zhu; Joseph G Ibrahim
Journal:  Biometrics       Date:  2009-12       Impact factor: 2.571

3.  Assessing the Sensitivity of Treatment Effect Estimates to Differential Follow-Up Rates: Implications for Translational Research.

Authors:  Beth Ann Griffin; Daniel McCaffrey; Rajeev Ramchand; Sarah B Hunter; Marika Suttorp
Journal:  Health Serv Outcomes Res Methodol       Date:  2012-06-01
  3 in total

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