Causal Analysis of Observational Time-to-Event Data

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Documentation for package ‘TrialEmulation’ version 0.0.4.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

calculate_weights	Calculate Inverse Probability of Censoring Weights
calculate_weights-method	Calculate Inverse Probability of Censoring Weights
case_control_sampling_trials	Case-control sampling of expanded data for the sequence of emulated trials
data_censored	Example of longitudinal data for sequential trial emulation containing censoring
data_preparation	Prepare data for the sequence of emulated target trials
expand_trials	Expand trials
fit_msm	Fit the marginal structural model for the sequence of emulated trials
fit_msm-method	Fit the marginal structural model for the sequence of emulated trials
fit_weights_model	Method for fitting weight models
initiators	A wrapper function to perform data preparation and model fitting in a sequence of emulated target trials
ipw_data	IPW Data Accessor and Setter
ipw_data-method	IPW Data Accessor and Setter
ipw_data<-	IPW Data Accessor and Setter
ipw_data<--method	IPW Data Accessor and Setter
load_expanded_data	Method to read, subset and sample expanded data
load_expanded_data-method	Method to read, subset and sample expanded data
outcome_data	Outcome Data Accessor and Setter
outcome_data-method	Outcome Data Accessor and Setter
outcome_data<-	Outcome Data Accessor and Setter
outcome_data<--method	Outcome Data Accessor and Setter
parsnip_model	Fit outcome models using 'parsnip' models
predict	Predict marginal cumulative incidences with confidence intervals for a target trial population
predict-method	Predict marginal cumulative incidences with confidence intervals for a target trial population
predict.TE_msm	Predict marginal cumulative incidences with confidence intervals for a target trial population
predict_marginal	Predict marginal cumulative incidences with confidence intervals for a target trial population
print.TE_weight_summary	Print a weight summary object
read_expanded_data	Method to read expanded data
read_expanded_data-method	Method to read expanded data
sample_expanded_data	Internal method to sample expanded data
sample_expanded_data-method	Internal method to sample expanded data
save_expanded_data	Method to save expanded data
save_expanded_data-method	Method to save expanded data
save_to_csv	Save expanded data as CSV
save_to_datatable	Save expanded data as a 'data.table'
save_to_duckdb	Save expanded data to 'DuckDB'
set_censor_weight_model	Set censoring weight model
set_censor_weight_model-method	Set censoring weight model
set_data	Set the trial data
set_data-method	Set the trial data
set_expansion_options	Set expansion options
set_expansion_options-method	Set expansion options
set_outcome_model	Specify the outcome model
set_outcome_model-method	Specify the outcome model
set_switch_weight_model	Set switching weight model
set_switch_weight_model-method	Set switching weight model
show_weight_models	Show Weight Model Summaries
stats_glm_logit	Fit outcome models using 'stats::glm'
summary.TE_data_prep	Summary methods
summary.TE_data_prep_dt	Summary methods
summary.TE_data_prep_sep	Summary methods
summary.TE_msm	Summary methods
summary.TE_robust	Summary methods
te_data-class	TrialEmulation Data Class
te_datastore-class	te_datastore
te_data_ex	Example of a prepared data object
te_model_ex	Example of a fitted marginal structural model object
te_model_fitter-class	Outcome Model Fitter Class
te_outcome_data-class	TrialEmulation Outcome Data Class
te_outcome_fitted-class	Fitted Outcome Model Object
te_outcome_model-class	Fitted Outcome Model Object
trial_example	Example of longitudinal data for sequential trial emulation
trial_msm	Fit the marginal structural model for the sequence of emulated trials
trial_sequence	Create a sequence of emulated target trials object
trial_sequence-class	Trial Sequence class
trial_sequence_AT-class	Trial Sequence class
trial_sequence_ITT-class	Trial Sequence class
trial_sequence_PP-class	Trial Sequence class
vignette_switch_data	Example of expanded longitudinal data for sequential trial emulation
weight_model_data_indices	Data used in weight model fitting