| dataCancer {xhaz} | R Documentation |
Simulated data with cause death information with non comparability bias in term of individuals expected hazard
Description
Simulated data
Usage
data(dataCancer)
Format
This dataset contains the following variables:
- obs_time
Follow-up time (months)
- obs_time_year
Follow-up time (years)
- event
Vital status
- age
Age at diagnosis
- agegrp
"<30" , "30_60" and ">=60" age groups
- ageCentre
centered age at diagnosis
- sexx
Sex(Female,Male).
- immuno_trt
Treatment group
- year_date
date of diagnosis.
References
Goungounga JA, Touraine C, Grafféo N, Giorgi R; CENSUR working survival group. Correcting for misclassification and selection effects in estimating net survival in clinical trials. BMC Med Res Methodol. 2019 May 16;19(1):104. doi: 10.1186/s12874-019-0747-3. PMID: 31096911; PMCID: PMC6524224. (PubMed)
Touraine C, Grafféo N, Giorgi R; CENSUR working survival group. More accurate cancer-related excess mortality through correcting background mortality for extra variables. Stat Methods Med Res. 2020 Jan;29(1):122-136. doi: 10.1177/0962280218823234. Epub 2019 Jan 23. PMID: 30674229. (PubMed)
Mba RD, Goungounga JA, Grafféo N, Giorgi R; CENSUR working survival group. Correcting inaccurate background mortality in excess hazard models through breakpoints. BMC Med Res Methodol. 2020 Oct 29;20(1):268. doi: 10.1186/s12874-020-01139-z. PMID: 33121436; PMCID: PMC7596976. (PubMed)
Examples
data(dataCancer)
summary(dataCancer)