Literature DB >> 9004381

Non-response models for the analysis of non-monotone non-ignorable missing data.

J M Robins1.   

Abstract

I introduce a new class of non-ignorable non-monotone missing data models. These models are useful for investigating the sensitivity of one's estimates to untestable assumptions about the missing data process. I use the new models to analyse data from a case-control study of the effect of radiation on breast cancer.

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Year:  1997        PMID： 9004381     DOI： 10.1002/(sici)1097-0258(19970115)16:1<21::aid-sim470>3.0.co;2-f

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


  13 in total

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2.  Nonparametric Bounds and Sensitivity Analysis of Treatment Effects.

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3.  Sensitivity Analysis of Per-Protocol Time-to-Event Treatment Efficacy in Randomized Clinical Trials.

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4.  On weighting approaches for missing data.

Authors:  Lingling Li; Changyu Shen; Xiaochun Li; James M Robins
Journal:  Stat Methods Med Res       Date:  2011-06-24       Impact factor: 3.021

5.  Estimation of regression models for the mean of repeated outcomes under nonignorable nonmonotone nonresponse.

Authors:  Stijn Vansteelandt; Andrea Rotnitzky; James Robins
Journal:  Biometrika       Date:  2007-12       Impact factor: 2.445

6.  Discrete Choice Models for Nonmonotone Nonignorable Missing Data: Identification and Inference.

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Journal:  Stat Sin       Date:  2018-10       Impact factor: 1.261

7.  Association of antiviral therapy with reduced disease progression in chronic Hepatitis B patients: Results from a nation-wide cohort study.

Authors:  G Vourli; G Papatheodoridis; M Raptopoulou; G N Dalekos; A Hounta; G Nikolopoulou; I Zouboulis-Vafeiadis; E Manesis; G Kitis; C Gogos; I Ketikoglou; G Hatzis; T Vasilialdis; S Karatapanis; K Mimidis; C Drakoulis; G Touloumi
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8.  Cox regression with survival-time-dependent missing covariate values.

Authors:  Yanyao Yi; Ting Ye; Menggang Yu; Jun Shao
Journal:  Biometrics       Date:  2019-11-18       Impact factor: 2.571

9.  Semiparametric approach for non-monotone missing covariates in a parametric regression model.

Authors:  Samiran Sinha; Krishna K Saha; Suojin Wang
Journal:  Biometrics       Date:  2014-02-26       Impact factor: 2.571

10.  Identification In Missing Data Models Represented By Directed Acyclic Graphs.

Authors:  Rohit Bhattacharya; Razieh Nabi; Ilya Shpitser; James M Robins
Journal:  Uncertain Artif Intell       Date:  2019-07
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