Simulate case-parent trio data and environmental variables in the population
Usage
sim_prospective_population(
n_fam = 1e+05,
cor_e_prs = TRUE,
cor_strat = 0.25,
rho2 = 0.25,
alpha_fam = -5.5,
betaG_normPRS = 0.4,
betaE_bin = 0.2,
betaE_norm = -0.6,
betaGE_normPRS_bin = 0.2,
betaGE_normPRS_norm = -0.4,
envir = TRUE
)Arguments
- n_fam
The total number of trios in the population, recommend values larger than 100000
- cor_e_prs
Whether there are correlations between PGS and E
- cor_strat
Level of stratification biases for PGS main effect
- rho2
Level of stratification biases for PGSxE interactions
- alpha_fam
Intercept term to control for population disease prevalence
- betaG_normPRS
True log RR for direct PGS main effect
- betaE_bin
True log RR for E1, a binary variable
- betaE_norm
True log RR for E2, a continuous variable
- betaGE_normPRS_bin
True log RR for PGSxE1
- betaGE_normPRS_norm
True log RR for PGSxE2
- envir
Whether there are environmental variables and PGSxE interactions in the true underlying disease model