Joint modelling of cause-specific hazard functions with cubic splines: an application to a large series of breast cancer patients
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Publication:951866
DOI10.1016/S0167-9473(02)00122-6zbMath1429.62498WikidataQ61851734 ScholiaQ61851734MaRDI QIDQ951866
Ettore Marubini, Patrizia Boracchi, Elia Biganzoli
Publication date: 4 November 2008
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)
Related Items (3)
Flexible parametric modelling of the hazard function in breast cancer studies ⋮ Tumor dormancy and frailty models: A novel approach ⋮ Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards
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