Man pages for TrialEmulation
Causal Analysis of Observational Time-to-Event Data
| calculate_predictions | Calculate and transform predictions |
| calculate_weights | Calculate Inverse Probability of Censoring Weights |
| case_control_sampling_trials | Case-control sampling of expanded data for the sequence of... |
| censor_func | Censoring Function in C++ |
| check_newdata | Check Data used for Prediction |
| data_censored | Example of longitudinal data for sequential trial emulation... |
| data_manipulation | Data Manipulation Function |
| data_preparation | Prepare data for the sequence of emulated target trials |
| expand | Expand Function |
| expand_trials | Expand trials |
| expand_until_switch | Check Expand Flag After Treatment Switch |
| fit_msm | Fit the marginal structural model for the sequence of... |
| fit_outcome_model | Method for fitting outcome models |
| fit_weights_model | Method for fitting weight models |
| initiators | A wrapper function to perform data preparation and model... |
| internal-methods | Internal Methods |
| ipw_data | IPW Data Accessor and Setter |
| load_expanded_data | Method to read, subset and sample expanded data |
| outcome_data | Outcome Data Accessor and Setter |
| parsnip_model | Fit outcome models using 'parsnip' models |
| predict_marginal | Predict marginal cumulative incidences with confidence... |
| print_TE | Print a weight summary object |
| read_expanded_data | Method to read expanded data |
| robust_calculation | Robust Variance Calculation |
| sample_expanded_data | Internal method to sample expanded data |
| save_expanded_data | 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' |
| select_data_cols | Select Data Columns |
| set_censor_weight_model | Set censoring weight model |
| set_data | Set the trial data |
| set_expansion_options | Set expansion options |
| set_outcome_model | Specify the outcome model |
| set_switch_weight_model | Set switching weight model |
| show_weight_models | Show Weight Model Summaries |
| stats_glm_logit | Fit outcome models using 'stats::glm' |
| summary_TE | Summary methods |
| te_data-class | TrialEmulation Data Class |
| te_data_ex | Example of a prepared data object |
| te_datastore-class | te_datastore |
| te_datastore_csv-class | te_datastore_csv, functions and methods |
| te_datastore_duckdb-class | te_datastore_duckdb, functions and methods |
| 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 |
| te_parsnip_model-class | Fit Models using parsnip |
| te_stats_glm_logit-class | Fit Models using logistic stats::glm |
| TrialEmulation-package | 'TrialEmulation' Package |
| trial_example | Example of longitudinal data for sequential trial emulation |
| trial_msm | Fit the marginal structural model for the sequence of... |
| trial_sequence | Create a sequence of emulated target trials object |
| trial_sequence-class | Trial Sequence class |
| vignette_switch_data | Example of expanded longitudinal data for sequential trial... |
| weight_model_data_indices | Data used in weight model fitting |
