Literature DB >> 3406598

Multistate models in survival analysis: a study of nephropathy and mortality in diabetes.

P K Andersen1.   

Abstract

How an analysis of a multistate model for survival data may compare with an ordinary survival analysis is discussed. A study of mortality and incidence of nephropathy in insulin dependent diabetes is used as illustration. Proportional hazards regression models with time-dependent covariates and regression models for relative mortality are used for the transition intensities. Alternative basic time scales are also considered.

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Year:  1988        PMID： 3406598     DOI： 10.1002/sim.4780070605

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


  12 in total

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4.  The survival analyses of 2738 patients with simple pneumoconiosis.

Authors:  Q Yi; Z Zhang
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5.  A Bayesian approach to Weibull survival models--application to a cancer clinical trial.

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7.  Risk Factor Identification in Heterogeneous Disease Progression with L1-Regularized Multi-state Models.

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8.  Incidence and mortality of Alzheimer's disease or dementia using an illness-death model.

Authors:  D Commenges; P Joly; L Letenneur; J F Dartigues
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9.  Multi-state survival analysis in renal transplantation recipients.

Authors:  Moghaddameh Mirzaee; Kazem Mohammad; Mahmood Mahmoodi; Hojjat Zeraati; Mohammad-Reza Ebadzadeh; Abbas Etminan; Faramarz Fazeli; Mohammad Hasan Dehghani Firouzabadi; Hossein Sattary; Mahdiyeh Haghparast; Abbas Rahimi Foroushani
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10.  Glycemic exposure and blood pressure influencing progression and remission of diabetic retinopathy: a longitudinal cohort study in GoDARTS.

Authors:  Yiyuan Liu; Minghui Wang; Andrew D Morris; Alex S F Doney; Graham P Leese; Ewan R Pearson; Colin N A Palmer
Journal:  Diabetes Care       Date:  2013-10-29       Impact factor: 19.112
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