A parametric regression model of tumor recurrence: An application to the analysis of clinical data on breast cancer

DOI10.1016/0167-7152(95)00182-4zbMath0864.62072OpenAlexW2020216278MaRDI QIDQ1126149

S. H. Smith

Publication date: 22 June 1997

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

Full work available at URL: https://doi.org/10.1016/0167-7152(95)00182-4

zbMATH Keywords

maximum likelihood estimationnonlinear programmingageproportional hazards modelbreast cancerradiotherapyaccelerated failure time modelfailure timecancer recurrenceclassification of covariatesexpected number of clonogenslinear-quadratic model of radiation cell survivalmean number of surviving clonogenic cellsparametric regression modelpredominant effectprimary tumor sizeprobability of local controlrelapse-free time datatime of tumor progressiontumor latency

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

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Threshold models of tumor recurrence ⋮ A parametric regression model of tumor recurrence: An application to the analysis of clinical data on breast cancer ⋮ Random effects in promotion time cure rate models ⋮ Iterated birth and death process as a model of radiation cell survial ⋮ Multivariate distributions of clinical covariates at the time of cancer detection ⋮ Spline-based estimation of cure rates: An application to the analysis of breast cancer data ⋮ Estimation of survival based on proportional hazards when cure is a possibility ⋮ Modeling post-treatment development of cervical carcinoma: Exophytic or endophytic --- does it matter? ⋮ Modeling carcinogenesis under a time-changing exposure ⋮ Bayesian inference for multivariate survival data with a cure fraction

Cites Work

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• Goodness of fit tests in models for life history data based on cumulative hazard rates
• A parametric regression model of tumor recurrence: An application to the analysis of clinical data on breast cancer
• Extended Hazard Regression for Censored Survival Data with Covariates: A Spline Approximation for the Baseline Hazard Function
• Discrete Strategies of Cancer Post-Treatment Surveillance. Estimation and Optimization Problems
• Testing the Independence of Competing Risks: An Application to the Analysis of Breast Cancer Recurrence

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