View source: R/sim.snp.expsurv.sctest.R
sim.snp.expsurv.sctest | R Documentation |
This function simulates the asymptotic P-value for the Cox score statistic under a specified genetic risk model
sim.snp.expsurv.sctest(n, gtprev, lam, a, b, ztest, diag = FALSE)
n |
Sample size |
gtprev |
Relative genotypic frequency |
lam |
Exponential hazard rates for conditional time to event survival functions |
a |
Lower bound for the uniform censoring bound |
b |
Upper bound for the uniform censoring bound |
ztest |
Assumed genetic model |
diag |
Set to TRUE if print out of diagnostics is desired |
This function simulates the genotypes 0, 1 or 2 from relative
genotypic frequencies. Then conditional on genotype, it simulates the
time to event from an exponential distribution with parameter
λ_g. The censoring time is drawn from a uniform law on the
interval [a,b].
It is not intended to be called directly by the user.
To conduct power calculations, use sim.snp.expsurv.power
or the convenience wrapper function survSNP.power.table
.
A vector of length 2 containing the observed event rate and the asymptotic P-value for the Cox score test
Kouros Owzar, Zhiguo Li, Nancy Cox, Sin-Ho Jung and Chanhee Yi
Kouros Owzar, Zhiguo Li, Nancy Cox and Sin-Ho Jung. Power and Sample Size Calculations for SNP Association Studies with Censored Time-to-Event Outcomes. https://onlinelibrary.wiley.com/doi/full/10.1002/gepi.21645
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