id age start_month end_month death_month bc_death bc_month
1 1 81 26 108 NA 0 NA
2 2 81 33 108 NA 0 NA
3 3 76 28 108 NA 0 NA
4 4 75 1 108 NA 0 NA
5 5 77 17 108 NA 0 NA
6 6 70 40 108 NA 0 NASimulated Breast Cancer Screening Cohort
Description
A synthetic dataset of 100 participants illustrating the data structure required by clone_censor(). Values are entirely simulated and do not represent real patients.
Usage
cohort
Format
A data frame with 100 rows and 7 columns:
-
id - Integer participant identifier (1–100).
-
age - Age at study entry (70–84 years).
-
start_month - Month of trial entry (1–60).
-
end_month - Last follow-up month, equal to the minimum of the death month and the administrative end of study (month 108).
-
death_month -
Month of all-cause death;
NAif alive at last follow-up. -
bc_death - Breast cancer death indicator (0/1).
-
bc_month -
Month of breast cancer diagnosis;
NAif no diagnosis during follow-up.
Details
Months are numbered consecutively from 1 (January 2000) to 108 (December 2008), matching the convention used in the original SAS implementation of García-Albéniz et al. (2020). Participants enter the study between months 1 and 60 (January 2000 – December 2004) to allow adequate follow-up.
Approximately 15 % of participants die during follow-up; roughly 2 % die from breast cancer. Administrative censoring occurs at month 108.
References
García-Albéniz X, Uno H, Bhatt DL, McArdle PH, Joffe MM, Hernán MA. Continuation of Annual Screening Mammography and Breast Cancer Mortality in Women Older Than 70 Years: A Prospective Observational Study. Ann Intern Med. 2020;172(6):381–389. doi:10.7326/M18-1199
See Also
clone_censor(), screening_mammograms, diagnostic_mammograms