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ivsacim (version 2.1.0)

Structural Additive Cumulative Intensity Models with IV

Description

An instrumental variable estimator under structural cumulative additive intensity model is fitted, that leverages initial randomization as the IV. The estimator can be used to fit an additive hazards model under time to event data which handles treatment switching (treatment crossover) correctly. We also provide a consistent variance estimate.

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Version

Install

install.packages('ivsacim')

Monthly Downloads

89

Version

2.1.0

License

GPL (>= 2)

Maintainer

Andrew Ying

Last Published

January 30th, 2022

Functions in ivsacim (2.1.0)

summary.ivsacim

Summarizing Cumulative Intensity Function of Treatment with Instrumental Variables Estimation Using Structural Additive Cumulative Intensity Models
ivsacim_est

This is the main function to compute the estimator in C++
ivsacim

Fitting a Cumulative Intensity Model for Exposure Effects with Instrumental Variables
plot.ivsacim

Plotting Estimated Cumulative Intensity function with Pointwise Confidence Intervals
treatment_status

This function is to generate a grid of treatment status
IV_center

This function is to compute the centralized instrument
invalidivsacim_est

This is the main function to compute the estimator in C++
trt_center

This function is to compute the centralized treatment process given the covariates Z, L at each sorted unique event time