fertility_data | R Documentation |
This dataset includes fertility history information from a cross-sectional study of 652 women aged 15–49 years in rural areas of Shiraz, Iran. It was used in the article "A parametric method for cumulative incidence modeling with a new four-parameter log-logistic distribution" to model the cumulative incidence of live births and competing risks (stillborn fetus or abortion).
fertility_data
A data frame with 652 rows and the following variables:
Unique identifier for each case.
Time from marriage to event (live birth, competing event, or censoring).
Event indicator: 0
= censored, 1
= live birth, 2
= stillborn fetus or abortion.
Age of the woman at the time of the event or censoring.
Education level: 1
= Illiterate, 2
= Primary/Secondary, 3
= Higher Education.
To view the article, follow this link: https://tbiomed.biomedcentral.com/articles/10.1186/1742-4682-8-43
doi:10.1186/1742-4682-8-43 https://doi.org/10.1186/1742-4682-8-43
Shayan, Z., Ayatollahi, S. M. T., & Zare, N. (2011). "A parametric method for cumulative incidence modeling with a new four-parameter log-logistic distribution." Theoretical Biology and Medical Modelling, 8:43. doi:10.1186/1742-4682-8-43
data(fertility_data)
head(fertility_data)
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