dataCancer: Simulated data with cause death information with non...
In xhaz: Excess Hazard Modelling Considering Inappropriate Mortality Rates

dataCancer

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, Graff\'eo 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, Graff\'eo 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, Graff\'eo 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)