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Open AccessJournal ArticleDOI

Regression analysis of competing risks data with general missing pattern in failure types

Anup Dewanji, +3 more
- 01 Mar 2016 - 
- Vol. 29, pp 18-31
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TLDR
In this paper, the cause-specific hazard rates under the general missing pattern were estimated using some semi-parametric models, and the regression coefficients and the baseline hazards were investigated.
About: 
This article is published in Statistical Methodology.The article was published on 2016-03-01 and is currently open access. It has received 2 citations till now. The article focuses on the topics: Missing data & Nelson–Aalen estimator.

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Citations
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Book ChapterDOI

On Competing Risks with Masked Failures

Isha Dewan, +1 more
TL;DR: In this article, some statistical inference procedures used when the cause of failure is missing or masked for some units are reviewed.
Journal ArticleDOI

Nonparametric Estimation of Cumulative cause Specific Reversed Hazard Rates under Masked Causes of Failure

Paduthol Godan Sankaran, +1 more
TL;DR: This paper considers the nonparametric estimation of cumulative cause specific reversed hazard rates for left censored competing risks data under masked causes of failure with maximum likelihood estimators and least squares type estimators.
References
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Journal ArticleDOI

A note on a test for competing risks with missing failure type

Anup Dewanji
- 01 Dec 1992 - 
TL;DR: The modified log rank test for competing risks with missing failure type suggested by Goetghebeur & Ryan (1990) is derived from a partial likelihood which leaves out some information as discussed by the authors.
Journal ArticleDOI

Inference for the dependent competing risks model with masked causes of failure.

Radu V. Craiu, +1 more
- 01 Mar 2006 - 
TL;DR: An EM-based approach is proposed which allows for dependent competing risks and produces estimators for the sub-distribution functions and discusses identifiability of parameters if none of the masked items have their cause of failure clarified in a second stage analysis (e.g. autopsy).
Journal ArticleDOI

A Bayesian approach to competing risks analysis with masked cause of death.

Ananda Sen, +3 more
- 20 Jul 2010 - 
TL;DR: A semiparametric Bayesian approach for analyzing competing risks survival data with masked cause of death is proposed, which does not assume independence among the causes, and is valid for an arbitrary number of causes.
Journal ArticleDOI

Estimation of competing risks with general missing pattern in failure types

Anup Dewanji, +1 more
- 01 Dec 2003 - 
TL;DR: This work considers a general missing pattern in which, if a failure type is not observed, one observes a set of possible types containing the true type, along with the failure time, and proposes a Nelson-Aalen type estimator for situations when certain information on the conditional probability of the true types is available from the experimentalists.
Journal ArticleDOI

Analysis of cohort studies with multivariate and partially observed disease classification data

Nilanjan Chatterjee, +3 more
- 01 Sep 2010 - 
TL;DR: Methods for analysis of disease incidence in cohort studies incorporating data on multiple disease traits using a two-stage semiparametric Cox proportional hazards regression model that allows one to examine the heterogeneity in the effect of the covariates by the levels of the different disease traits are developed.
Related Papers (5)

Multiple Imputation Methods for Estimating Regression Coefficients in the Competing Risks Model with Missing Cause of Failure

Kaifeng Lu, +1 more
- 01 Dec 2001 - 

Direct likelihood inference and sensitivity analysis for competing risks regression with missing causes of failure

Margarita Moreno-Betancur, +2 more
- 01 Jun 2015 - 

Analysis of competing risks data with missing cause of failure under additive hazards model

Wenbin Lu, +1 more

Semiparametric inference of competing risks data with additive hazards and missing cause of failure under MCAR or MAR assumptions

Laurent Bordes, +2 more
- 01 Jan 2014 - 

Analysis of competing risks survival data when some failure types are missing

Els Goetghebeur, +1 more
- 01 Dec 1995 - 
Frequently Asked Questions (1)
Q1. What have the authors contributed in "Regression analysis of competing risks data with general missing pattern in failure types" ?

In this work, the authors deal with the regression problem, in which the cause-specific hazard rates may depend on some covariates, and consider estimation of the regression coefficients and the cause-specific baseline hazards under the general missing pattern using some semi-parametric models. The authors consider two different proportional hazards type semi-parametric models for their analysis. The authors also consider an example from an animal experiment to illustrate their methodology.