Estimation of the subsurvival function for time-to-tumor in survival/sacrifice experiments

DOI10.1016/0167-7152(92)90230-3zbMath0749.62068OpenAlexW2016524516WikidataQ61732942 ScholiaQ61732942MaRDI QIDQ1186023

Guadalupe Gómez, John van Ryzin

Publication date: 28 June 1992

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(92)90230-3

zbMATH Keywords

estimationmodellingconsistencyasymptotic normalityasymptotic propertiesmartingalessurvival datasurvival functionstochastic integralscause-specific hazardsubsurvival functionanimal carcinogenic bioassayapproximate Kaplan- Meier estimatesdisease resistence functionfour-variate counting processrandom sacrificessubdistribution functionssurvival/sacrifice experimentstumor incidence rateunknown cause of death

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Frequentist and Bayesian approaches for interval-censored data ⋮ Tutorial on methods for interval-censored data and their implementation in R

Cites Work

• Nonparametric inference for a family of counting processes
• Tests for Differences in Tumor Incidence Based on Animal Carcinogenesis Experiments
• Nonparametric Methods for Survival/Sacrifice Experiments
• Some Multivariate Chebyshev Inequalities with Extensions to Continuous Parameter Processes
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