analyze_functions: Analyze functions

In tern: Create Common TLGs Used in Clinical Trials

Analyze functions

Description

These functions are wrappers of rtables::analyze() which apply corresponding tern statistics functions to add an analysis to a given table layout:

• analyze_num_patients()

• analyze_vars()

• compare_vars()

• count_abnormal()

• count_abnormal_by_baseline()

• count_abnormal_by_marked()

• count_abnormal_by_worst_grade()

• count_cumulative()

• count_missed_doses()

• count_occurrences()

• count_occurrences_by_grade()

• count_patients_events_in_cols()

• count_patients_with_event()

• count_patients_with_flags()

• count_values()

• coxph_pairwise()

• estimate_incidence_rate()

• estimate_multinomial_rsp()

• estimate_odds_ratio()

• estimate_proportion()

• estimate_proportion_diff()

• summarize_ancova()

• summarize_colvars(): even if this function uses rtables::analyze_colvars(), it applies the analysis methods as different rows for one or more variables that are split into different columns. In comparison, analyze_colvars_functions leverage analyze_colvars to have the context split in rows and the analysis methods in columns.

• summarize_change()

• surv_time()

• surv_timepoint()

• test_proportion_diff()

See Also

• analyze_colvars_functions for functions that are wrappers for rtables::analyze_colvars().

• summarize_functions for functions which are wrappers for rtables::summarize_row_groups().

tern documentation built on Sept. 24, 2024, 9:06 a.m.