Sequential Trial Emulation
Function to clean out non needed elements from fastglm return
Function to return competing event models from a SEQuential object
Retrieves Outcome, Numerator, and Denominator Covariates
Internal Function to create 'default' formula
Internal Function to create 'default' loss-to-followup formula
Internal Function to create 'default' weighting formula
Internal function to pull Risk Ratio and Risk Difference from data whe...
Retrieves Denominator Models from SEQuential object
Function to return diagnostic tables from a SEQuential object
Nicely cleans time for readability
Function to return hazard ratios from a SEQuential object
Helper Function to inline predict a fastglm object
Internal analysis tool for handling parallelization/bootstrapping on m...
Generic function to format a dataset for hazard ratio calculation
Internal function for fitting outcome models
Plotting for survival curves
Internal function for creating survival curves
Internal function for defining weights
Function to print kaplan-meier curves
Function to return survival data from a SEQuential object
Helper to predict from the nested logistic
Helper function for nested logistic
Helper function to get the summary table from multinomial
Retrieves Numerator Models from SEQuential object
Retrieves Outcome Models from SEQuential object
Parameter Helper
Simplifies parameters down for later use
Helper function to prepare data for fastglm
Output constructor
Function to return risk information from a SEQuential object
Function to return risk information from a SEQuential object
Function to return the internal data from a SEQuential object
Estimate the (very rough) time to run SEQuential analysis on current m...
Creates an expanded dataset for use with SEQuential
An S4 class of user options to feed into the SEQuential processes and ...
Parameter Builder for SEQuential Model and Estimates
An S4 class used to hold the outputs for the SEQuential process
An internal S4 class to carry around parameters during the SEQuential ...
SEQuential trial emulation
An internal S4 class to help transfer weight statistics out of `intern...
Show method for S4 object - SEQoutput.
Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).