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sampleData

Simulate data with binary or time-to-event outcome

Description

Simulate data with binary outcome and 10 covariates.

Usage

sampleData(n,outcome="competing.risks",
formula= ~ f(X1,2)+f(X2,-0.033)+f(X3,0.4)+f(X6,.1)+f(X7,-.1)+f(X8,.5)+f(X9,-1))
sampleDataTD(n,n.intervals=5,outcome="competing.risks",
formula= ~ f(X1,2)+f(X2,-0.033)+f(X3,0.4)+f(X6,.1)+f(X7,-.1)+f(X8,.5)+f(X9,-1))

Arguments

n

Sample size
outcome

Character vector. Response variables are generated according to keywords: "binary" = binary response, "survival" = survival response, "competing.risks" = competing risks response
formula

Specify regression coefficients
n.intervals

sampleDataTD only: the maximum number of episodes in which the covariates are updated.

Details

For the actual lava::regression parameters see the function definition.

Value

Simulated data as data.table with n rows and the following columns: Y (binary outcome), time (non-binary outcome), event (non-binary outcome), X1-X5 (binary predictors), X6-X10 (continous predictors)

Author(s)

Thomas A. Gerds <tag@biostat.ku.dk>

See Also

lvm

Examples

sampleData(10,outcome="binary")
sampleData(10,outcome="survival")
sampleData(10,outcome="competing.risks")
riskRegression

Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks

v2020.12.08
GPL (>= 2)
Authors
Thomas Alexander Gerds [aut, cre], Paul Blanche [ctb], Rikke Mortensen [ctb], Marvin Wright [ctb], Nikolaj Tollenaar [ctb], John Muschelli [ctb], Ulla Brasch Mogensen [ctb], Brice Ozenne [aut] (<https://orcid.org/0000-0001-9694-2956>)
Initial release

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