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Open AccessJournal ArticleDOI

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

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.
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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

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

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 Article

Nitrosamine carcinogenesis in 5120 rodents: chronic administration of sixteen different concentrations of NDEA, NDMA, NPYR and NPIP in the water of 4440 inbred rats, with parallel studies on NDEA alone of the effect of age of starting (3, 6 or 20 weeks) and of species (rats, mice or hamsters).

TL;DR: In this paper, a Weibull analysis is presented of the dose and time relationships for the effects on 4 080 inbred rats of chronic ingestion in the drinking water of 16 different doses of N-nitroso-dimethylamine (NDMA) and of Nnitrosodiethylamine(NDEA).
Journal ArticleDOI

Nonparametric methods for survival/sacrifice experiments.

Anup Dewanji, +1 more
- 01 Jun 1986 - 
TL;DR: A multistate model for disease development and death is considered, and an algorithm of the EM type for maximum likelihood estimation is obtained, and a score test is developed appropriate for the comparison of two groups without need of any assumption concerning lethality of the disease concerned.
Journal ArticleDOI

Nonparametric prevalence and mortality estimators for animal experiments with incomplete cause-of-death data

TL;DR: In this paper, a nonparametric maximum likelihood estimators for the prevalence and mortality functions are available for the case in which incidental and fatal occurrences of a disease can always be distinguished.
Journal ArticleDOI

A modified log rank test for competing risks with missing failure type

TL;DR: In this paper, a modified log rank test for the analysis of competing risks survival data, when failure type is missing for some individuals, was proposed, based on a partial likelihood, constructed under semiparametric assumptions on the relationship between cause-specific hazards.
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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.