### Example of Section 4.5.
suppressMessages(library(psrwe, quietly = TRUE))
options(digits = 3)
data(ex_dta_rct)
### First parts of Data.
head(ex_dta_rct)
### Obtain PSs.
dta_ps_rct <- psrwe_est(ex_dta_rct,
v_covs = paste("V", 1:7, sep = ""),
v_grp = "Group", cur_grp_level = "current",
v_arm = "Arm", ctl_arm_level = "control",
ps_method = "logistic", nstrata = 5,
stra_ctl_only = FALSE)
### Balance assessment of PS stratification.
### See "sec_4_2_ex" for details.
### Obtain discounting parameters.
### See "sec_4_2_ex" for details.
ps_bor_rct <- psrwe_borrow(dta_ps_rct, total_borrow = 30)
### PSKM, two-arm RCT, time-to-event outcome.
rst_km_rct <- psrwe_survkm(ps_bor_rct,
pred_tp = 365,
v_time = "Y_Surv",
v_event = "Status")
rst_km_rct
### Plot PSKM.
plot(rst_km_rct, xlim = c(0, 730))
### Outcome analysis.
oa_km_rct <- psrwe_outana(rst_km_rct, alternative = "greater")
oa_km_rct
print(oa_km_rct, show_rct = TRUE)
summary(oa_km_rct, pred_tps = c(180, 365))
### Use Jackknife stderr. This may take a while.
rst_km_rct_jk <- psrwe_survkm(ps_bor_rct,
pred_tp = 365,
v_time = "Y_Surv",
v_event = "Status",
stderr_method = "jk")
oa_km_rct_jk <- psrwe_outana(rst_km_rct_jk, alternative = "greater")
summary(oa_km_rct_jk, pred_tps = c(180, 365))
### Use simple Jackknife stderr. This may take a while longer.
rst_km_rct_jko <- psrwe_survkm(ps_bor_rct,
pred_tp = 365,
v_time = "Y_Surv",
v_event = "Status",
stderr_method = "sjk")
oa_km_rct_jko <- psrwe_outana(rst_km_rct_jko, alternative = "greater")
summary(oa_km_rct_jko, pred_tps = c(180, 365))
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