Description Usage Arguments Value Examples
Estimate the VE
1 |
psCov |
A vector. A vector containing the variable names for the covariates to be used in the propensity score model. |
study |
A matrix. The columns GROUP (0=survey, 1=trial); DIS1.16 and DIS2.16 (HPV 16 status at 2 visits); DIS1.18 and DIS2.18 (HPV 18 status at 2 visits); DIS0.16 (HPV 16 status at baseline; missing for survey); DIS0.18 (HPV18 status at baseline; missing for survey); SEX1 and SEX2 (sexual activity status at two visits); ATP (indicator for ATP status, all survey individuals must equal 1) covariates for the propensity score model; missing values should be set to -9 |
VE A single value. Estimated VE
ntrial.obs.L2 A single value. Number of trial particpants with the same type of infection at the last vists
ntrial.obs.L2pB A single value. Number of trial particpants with the same type of infection at the last vists and at baseline
nsurvey.obs.L2 A single value. Number of survey particpants with the same type of infection at both vists
Ntrial A single value. Number of individuals in the ATP cohort who completed at least one of the last two visits
Nsurvey A single value. Number of individuals in the survey who completed at least one of the two visits
Ntrial.both A single value. Number of individuals in the ATP cohort who completed both of the last two visits
Nsurvey.both A single value. Number of individuals in the survey who completed both of the two visits
ntrial.est.L2 A single value. Estimated number of trial particpants with the same type of infection at the last vists
ntrial.est.L2pB A single value. Estimated number of trial particpants with the same type of infection at the last vists and at baseline
nsurvey.west.L2 A single value. Weighted estimated number of survey particpants with the same type of infection at the last vists
1 2 3 4 | trial1dose <- simTrialArm(ofile="/volumes/data/Projects/HPV/out/Rparams.Rdat",yr=5,nsub=5000,pdisL2=0.04*(1-0.8),pdo6=0.05,pdo=0.02,pmv=0.17)
survey <- simSurvey(ofile="/volumes/data/Projects/HPV/out/Rparams.Rdat", yr=5,nsub=5000,pdisL2=0.04,pmv2=0.17,pmv1=0.10)
study <- simStudy(trialRes=trial1dose,surveyRes=survey)
estVE(study,psCov=c("X1","X2"))
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