title: Modelling menstrual status during and after adjuvant treatment for breast cancer.
abstract: Failure time data may consist of the observation of an event whose cause is unknown due to the censoring or lack of a second event that could identify the cause of the first event. Standard competing-risks methodology does not apply to this setting because the cause of the event is not always identifiable. Moreover, one cannot assume that the entire population will eventually experience the event of interest, and the observation is potentially censored for all patients. The model that we describe in this article is motivated by a breast cancer clinical trial conducted by the International Breast Cancer Study Group (IBCSG). Because some breast cancer adjuvant treatments for premenopausal patients who have undergone surgery cause the interruption of menses, or amenorrhoea, it is of interest to describe the process by which menses discontinue and resume after treatment is completed. The process is complicated by the fact that natural menopause also occurs in the patient population, and that treatment-induced amenorrhoea is not distinguishable from menopause unless menses are observed to resume after treatment completion. We discuss a parametric model for the time to amenorrhoea and for the time to the recovery of menses, also accounting for the presence of censoring and for the possibility that treatment causes an anticipation of natural menopause.
authors.affiliation: Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA. sszwarc@hsph.harvard.edu
authors.forename: Suzanne E
authors.initials: SE
authors.lastname: Szwarc
authors.forename: Marco
authors.initials: M
authors.lastname: Bonetti
mesh_terms: D000328:Adult; D001943:Breast Neoplasms / Q000188:drug therapy*; D017024:Chemotherapy, Adjuvant; D002986:Clinical Trials as Topic; D005260:Female; D006801:Humans; D038622:Internationality; D008597:Menstrual Cycle / Q000502:physiology*; D008875:Middle Aged; D015233:Models, Statistical