simuData: Simulated data with cause death information in long term...
In xhaz: Excess Hazard Modelling Considering Inappropriate Mortality Rates
simuData R Documentation
Simulated data with cause death information in long term follow-up setting without non comparability bias in term of individuals expected hazard
Description
Simulated data
Usage
data(simuData)
Format
This dataset contains the following variables:
- age
Age at diagnosis
- agec
Centered age
- sex
Sex(Female,Male)
- race
Race
- date
date of diagnosis.
- time
Follow-up time (months)
- time_year
Follow-up time (years)
- status
Vital status
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)
Examples
data(simuData)
summary(simuData)
xhaz documentation built on June 30, 2024, 1:07 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| simuData | R Documentation |
Simulated data with cause death information in long term follow-up setting without non comparability bias in term of individuals expected hazard
Description
Simulated data
Usage
data(simuData)
Format
This dataset contains the following variables:
- age
Age at diagnosis
- agec
Centered age
- sex
Sex(Female,Male)
- race
Race
- date
date of diagnosis.
- time
Follow-up time (months)
- time_year
Follow-up time (years)
- status
Vital status
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)
Examples
data(simuData)
summary(simuData)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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