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An analysis for menstrual data with time‐varying covariates
Author(s) -
Murphy Susan A.,
Bentley Gillian R.,
O'Hanesian Mary Ann
Publication year - 1995
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780141702
Subject(s) - covariate , censoring (clinical trials) , menstrual cycle , statistics , menstruation , computer science , econometrics , demography , medicine , mathematics , sociology , hormone
This paper concerns the analysis of menstrual data; in particular, methodology to identify variables that contribute to the variability of menstrual cycles both within and between women. The basis for the proposed methodology is a parameterization of the mean length of a menstrual cycle conditional upon the past cycles and covariates. This approach accommodates the length‐bias and censoring commonly found in menstrual data. Data from a longitudinal study of menstrual patterns and other variables among Lese women of the Ituri Forest, Zaire, illustrate the methodology. A small simulation illustrates the bias caused by incorrectly deleting the censored cycles.