The analysis of incomplete data using stochastic covariates

DOI10.2307/3315549zbMath0819.62089OpenAlexW2068982604MaRDI QIDQ4837802

David E. Matthews, Shesh N. Rai

Publication date: 3 July 1995

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315549

zbMATH Keywords

maximum likelihoodtumour growthstochastic covariatesoccult tumorstumour incidence rateadditive competing risks of deathcarcinogenicity trialsrate of deathtumour size information

Mathematics Subject Classification ID

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

Related Items (1)

Bayesian Modeling of Incidence and Progression of Disease from Cross-Sectional Data

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Marker processes in survival analysis
• Quantitative analysis of two-dimensional observations of premalignant clones in the presence or absence of malignant tumors
• Two-mutation model for carcinogenesis: Joint analysis of premalignant and malignant lesions
• Analytic expressions for maximum likelihood estimators in a nonparametric model of tumor incidence and death
• Biases in Prevalent Cohorts
• Tests for Differences in Tumor Incidence Based on Animal Carcinogenesis Experiments
• Estimating Carcinogenic Potency from a Rodent Tumorigenicity Experiment
• Nonparametric Methods for Survival/Sacrifice Experiments
• On the use of covariates for rodent bioassay and screening experiments
• A framework for consistent prediction rules based on markers
• Nonparametric Estimation of Lifetime and Disease Onset Distributions from Incomplete Observations
• Statistical Analysis of Aberrant Crypt Assays for Colon Cancer Promotion Studies

This page was built for publication: The analysis of incomplete data using stochastic covariates