Testing goodness of fit for stochastic models of carcinogenesis
From MaRDI portal
Publication:1602563
DOI10.1016/S0025-5564(01)00088-8zbMath0989.62062OpenAlexW2025118922WikidataQ47572911 ScholiaQ47572911MaRDI QIDQ1602563
Giovanni Gregori, Suresh H. Moolgavkar, E. Georg Luebeck, Leonid G. Hanin, Andrej Yu. Yakovlev
Publication date: 23 June 2002
Published in: Mathematical Biosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0025-5564(01)00088-8
Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)
Related Items (3)
Identifiability of the joint distribution of age and tumor size at detection in the presence of screening ⋮ Multivariate distributions of clinical covariates at the time of cancer detection ⋮ Studying health histories of cancer: A new model connecting cancer incidence and survival
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Goodness of fit tests in models for life history data based on cumulative hazard rates
- Two-event models for carcinogenesis: Incidence curves for childhood and adult tumors
- Modeling carcinogenesis under a time-changing exposure
- Survival analysis. Techniques for censored and truncated data
- Do cells repair precancerous lesions induced by radiation?
- Calculating tumor incidence rates in stochastic models of carcinogenesis
- A diversity of responses displayed by a stochastic model of radiation carcinogenesis allowing for cell death
- Smoothing methods in statistics
- Identifiability of parameters in the Yakovlev-Polig model of carcinogenesis
- Weighted Kaplan-Meier Statistics: A Class of Distance Tests for Censored Survival Data
- The shape of the hazard function for cancer incidence
This page was built for publication: Testing goodness of fit for stochastic models of carcinogenesis
