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Literature DB >> 963172

Life tables with concomitant information.

Abstract

A regression model for the analysis of survival data adjusting for concomitant information is developed. The model presented can lead to the log linear exponential model (Glasser [1967]) and the life table regression model of Cox [1972]. In addition, the model described can be used to analyze data from the commonly employed actuarial life table. A discussion of the special case where one is comparing two survival curves is presented. The methods developed are illustrated using data from a clinical trial investigating treatments for lung cancer.

Entities: Disease Gene

Mesh：

Year: 1976 PMID： 963172

Source DB: PubMed Journal: Biometrics ISSN： 0006-341X Impact factor: 2.571

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Cited

23 in total

1. Marginal regression models with a time to event outcome and discrete multiple source predictors.

Authors: Heather J Litman; Nicholas J Horton; Jane M Murphy; Nan M Laird
Journal: Lifetime Data Anal Date: 2006-08-02 Impact factor: 1.588

2. Flexible modeling of the hazard rate and treatment effects in long-term survival studies.

Authors: Yolanda Hagar; James J Dignam; Vanja Dukic
Journal: Stat Methods Med Res Date: 2017-02-02 Impact factor: 3.021

3. Estimating the grid of time-points for the piecewise exponential model.

Authors: Fabio N Demarqui; Rosangela H Loschi; Enrico A Colosimo
Journal: Lifetime Data Anal Date: 2008-05-09 Impact factor: 1.588

4. A proportional hazards regression model with change-points in the baseline function.

Authors: Abdullah Oueslati; Olivier Lopez
Journal: Lifetime Data Anal Date: 2012-09-28 Impact factor: 1.588

5. Natural history of major complications in hepatitis C virus-related cirrhosis evaluated by per-rectal portal scintigraphy.

Authors: Etsushi Kawamura; Daiki Habu; Takehiro Hayashi; Ai Oe; Jin Kotani; Hirotaka Ishizu; Kenji Torii; Joji Kawabe; Wakaba Fukushima; Takashi Tanaka; Shuhei Nishiguchi; Susumu Shiomi
Journal: World J Gastroenterol Date: 2005-07-07 Impact factor: 5.742

Life tables with concomitant information.

1. Marginal regression models with a time to event outcome and discrete multiple source predictors.

2. Flexible modeling of the hazard rate and treatment effects in long-term survival studies.

3. Estimating the grid of time-points for the piecewise exponential model.

4. A proportional hazards regression model with change-points in the baseline function.

5. Natural history of major complications in hepatitis C virus-related cirrhosis evaluated by per-rectal portal scintigraphy.

6. An Approach to the Estimation of Chronic Air Pollution Effects Using Spatio-Temporal Information.

7. Mixed effect Poisson log-linear models for clinical and epidemiological sleep hypnogram data.

8. A hazard model analysis of the covariates of marriage dissolution in Canada.

9. Significance tests have a role in epidemiologic research: reactions to A. M. Walker.

10. Continuing female predominance in depressive illness.