Description Usage Arguments Value References See Also Examples
This function predicts a subject's overall hazard rates at given time points
based on this subject's covariate values. The prediction function is an object
from ah.2ph
. The estimating procedures follow Hu (2014).
1 2 |
object |
an object of class inhering from 'ah.2ph'. |
newdata |
a dataframe of an individual's predictors. |
newtime |
a given sequence of time points at which the prediction is performed. |
... |
further arguments passed to or from other methods. |
A dataframe including the given time points, predicted hazards, their standard errors, their variances, the phase I component of the variance for predicted hazards and the phase II component of the variance.
Jie Hu (2014) A Z-estimation System for Two-phase Sampling with Applications to Additive Hazards Models and Epidemiologic Studies. Dissertation, University of Washington.
ah.2ph
for fitting the additive hazards model with two-phase
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | library(survival)
### fit an additive hazards model to two-phase sampling data without calibration
fit1 <- ah.2ph(Surv(trel,relaps) ~ age + histol, data = nwts2ph, R = in.ph2,
Pi = Pi, robust = FALSE, ties = 'break')
### input the new data for prediction
newdata <- nwtsco[101,]
### based on the fitted model fit1, perform prediction at time points t =3 and t= 5
predict(fit1, newdata, newtime = c(3,5))
### fit an additve hazards model to two-phase sampling data with calibration
### The calibration variable is instit
fit2 <- ah.2ph(Surv(trel,relaps) ~ age + histol, data = nwts2ph, R = in.ph2, Pi = Pi,
ties = 'break', robust = FALSE, calibration.variables = "instit")
### based on the fitted model fit2, perform prediction at time points t =3 and t= 5
predict(fit2, newdata, newtime = c(3,5))
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