StratifiedModel


This R6 class defines and fits a conditional probability model <code>P(A[j]|W,...)</code> for a summary <code>A[j]</code>.
This class inherits from <code><a rd-options="" href="/link/GenericModel?package=stremr&version=0.4" data-mini-rdoc="stremr::GenericModel">GenericModel</a></code> class.
The stratification criteria is determined by the <code>R</code> expression in the field <code>subset_exprs</code>.


class

Analysis of longitudinal time-to-event or time-to-failure data.
Estimates the counterfactual discrete survival curve under static, dynamic and
stochastic interventions on treatment (exposure) and monitoring events over time.
Estimators (IPW, MSM-IPW, GCOMP, longitudinal TMLE) adjust for measured time-varying
confounding and informative right-censoring. Model fitting can be performed either
with GLM or H2O-3 machine learning libraries.
The exposure, monitoring and censoring variables can be coded as either binary,
categorical or continuous. Each can be multivariate (e.g., can use more than one
column of dummy indicators for different censoring events).
The input data needs to be in long format.

Oleg Sofrygin

stremr

Streamlined Estimation of Survival for Static, Dynamic and
Stochastic Treatment and Monitoring Regimes

StratifiedModel function

An <code><a rd-options="" href="/link/R6Class?package=stremr&version=0.4" data-mini-rdoc="stremr::R6Class">R6Class</a></code> generator object

Format

Methods

Active Bindings


This R6 class defines and fits a conditional probability model <code>P(A[j]|W,...)</code> for a summary <code>A[j]</code>.
This class inherits from <code><a rd-options='' href='GenericModel'>GenericModel</a></code> class.
The stratification criteria is determined by the <code>R</code> expression in the field <code>subset_exprs</code>.


An <code><a rd-options='' href='R6Class'>R6Class</a></code> generator object

StratifiedModel: R6 class for fitting and predicting with several stratified models for a single outcome variable (conditional on some covariate values)

Description

Usage

Arguments

Format

Methods

Active Bindings

Details