Literature DB >> 7481213

Analysis of dependent survival data applied to lifetimes of amalgam fillings.

O O Aalen1, E Bjertness, T Soønju.   

Abstract

When studying lifetimes of amalgam fillings, one is faced with the fact that each patient may contribute multiple survival data. This creates a dependence problem, and some methods for solving it are presented here. Analysis for individual patients with simple approaches for combining data is discussed first. Then a parametric frailty model is applied to analyse variation within and between patients. The results are presented in the form of an empirical Bayes estimate for each patient.

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Year:  1995        PMID: 7481213     DOI: 10.1002/sim.4780141610

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


  5 in total

1.  Evaluation of performance of dental providers on posterior restorations: does experience matter? A data envelopment analysis (DEA) approach.

Authors:  M Nicholas Coppola; Yasar A Ozcan; Russell Bogacki
Journal:  J Med Syst       Date:  2003-10       Impact factor: 4.460

2.  Modelling conditional distributions in bivariate survival.

Authors:  R Henderson
Journal:  Lifetime Data Anal       Date:  1996       Impact factor: 1.588

3.  An episode-based framework for analyzing health care expenditures: an application of reward renewal models.

Authors:  E Michael Foster; Fengjuan Xuan
Journal:  Health Serv Res       Date:  2005-12       Impact factor: 3.402

4.  Acute middle ear infection in small children: a Bayesian analysis using multiple time scales.

Authors:  A Andreev; E Arjas
Journal:  Lifetime Data Anal       Date:  1998       Impact factor: 1.588

5.  Kaplan-Meier and Cox Regression Are Preferable for the Analysis of Time to Revision of Joint Arthroplasty: Thirty-One Years of Follow-up for Cemented and Uncemented THAs Inserted From 1987 to 2000 in the Norwegian Arthroplasty Register.

Authors:  Stein Atle Lie; Anne Marie Fenstad; Stein Håkon L Lygre; Gard Kroken; Eva Dybvik; Jan-Erik Gjertsen; Geir Hallan; Håvard Dale; Ove Furnes
Journal:  JB JS Open Access       Date:  2022-02-23
  5 in total

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