Biostatistics Journal Club: Modelling Time to Breast Cancer Mortality Among Cancer-Free Subjects

Tumor factors (e.g., stage) are important predictors of prognosis for aggressive forms of breast cancer but may be intermediates between pre-diagnosis risk factors and mortality. Typically, separate models are fit for incidence and mortality post-diagnosis. These models have not been previously integrated to identify risk factors for lethal cancer in cancer-free subjects. In this presentation, Bernie Rosner, PhD, Harvard T.H. Chan School of Public Health, Brigham and Women’s Hospital, will describe the use of a special type of multi-state model to combine models for breast cancer incidence and breast cancer-specific mortality among cases into a multi-state survival model for lethal breast cancer.

Required Reading:

A Multi-State Survival Model for Time to Breast Cancer Mortality Among a Cohort of Initially Disease-Free Women

Speaker:

Bernie Rosner, PhD, Harvard T.H. Chan School of Public Health & Brigham and Women’s Hospital