Model-Based Standardisation for Indirect Treatment Comparison
with Limited Subject-Level Data
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Documentation for package ‘outstandR’ version 1.0.0
Help Pages
| AC_IPD_binY_contX | Individual-level patient data for binary outcome, continuous covariates |
| AC_IPD_contY_mixedX | Individual-level patient data for continuous outcome, mixed covariates |
| AC_IPD_countY_contX | Individual-level patient data for count outcome, continuous covariates |
| BC_ALD_binY_contX | Aggregate level patient data for binary outcome, continuous covariates |
| BC_ALD_contY_mixedX | Aggregate level patient data for continuous outcome, mixed covariates |
| BC_ALD_countY_contX | Aggregate level patient data for count outcome, continuous covariates |
| calculate_ate | Calculate Average Treatment Effect |
| calculate_trial_mean | Calculate Trial Mean Wrapper |
| calculate_trial_mean_binary | Calculate Trial Mean Binary Data |
| calculate_trial_mean_continuous | Calculate Trial Mean Continuous Data |
| calculate_trial_mean_count | Calculate Trial Mean Count Data |
| calculate_trial_variance | Calculate trial variance |
| calculate_trial_variance_binary | Calculate trial variance binary |
| calculate_trial_variance_continuous | Calculate trial variance continuous |
| calculate_trial_variance_count | Calculate trial variance count |
| calc_ALD_stats | Aggregate-level data mean and variance statistics |
| calc_gcomp_bayes | Bayesian G-computation using Stan |
| calc_gcomp_ml | G-computation Maximum Likelihood Bootstrap |
| calc_IPD_stats | Calculate individual-level patient data statistics |
| calc_IPD_stats.default | Calculate individual-level patient data statistics |
| calc_IPD_stats.gcomp_bayes | Calculate individual-level patient data statistics |
| calc_IPD_stats.gcomp_ml | Calculate individual-level patient data statistics |
| calc_IPD_stats.maic | Calculate individual-level patient data statistics |
| calc_IPD_stats.mim | Calculate individual-level patient data statistics |
| calc_IPD_stats.stc | Calculate individual-level patient data statistics |
| estimate_var_sandwich | Estimate Variance Sandwich Estimator |
| get_treatment_effect | Get treatment effect scale corresponding to a link function |
| marginal_treatment_effect | Marginal treatment effect from reported event counts |
| marginal_variance | Marginal effect variance using the delta method |
| new_strategy | New strategy objects |
| outstandR | Calculate the difference between treatments using all evidence |
| outstandR-class | outstandR class |
| plot.outstandR | Default Plot Method for outstandR Objects |
| print.outstandR | Print a Summary of a outstandR Object |
| print.summary.outstandR | Summary method for outstandR |
| reshape_ald_to_long | Convert aggregate data from wide to long format |
| reshape_ald_to_wide | Convert aggregate data from long to wide format |
| strategy | New strategy objects |
| strategy-class | Strategy class and subclasses |
| strategy_gcomp_bayes | New strategy objects |
| strategy_gcomp_ml | New strategy objects |
| strategy_maic | New strategy objects |
| strategy_mim | New strategy objects |
| strategy_stc | New strategy objects |
| summary.outstandR | Summary method for outstandR |