Zhu J, Sabanés Bové D, Stoilova J, Garolini D, de la Rua E, Yogasekaram A, Wang H, Collin F, Waddell A, Rucki P, Liao C, Li J (2024). tern: Create Common TLGs Used in Clinical Trials. -R package version 0.9.6.9005, +R package version 0.9.6.9006, https://github.com/insightsengineering/tern/, https://insightsengineering.github.io/tern/.
@Manual{, title = {tern: Create Common TLGs Used in Clinical Trials}, author = {Joe Zhu and Daniel {Sabanés Bové} and Jana Stoilova and Davide Garolini and Emily {de la Rua} and Abinaya Yogasekaram and Heng Wang and Francois Collin and Adrian Waddell and Pawel Rucki and Chendi Liao and Jennifer Li}, year = {2024}, - note = {R package version 0.9.6.9005, + note = {R package version 0.9.6.9006, https://github.com/insightsengineering/tern/}, url = {https://insightsengineering.github.io/tern/}, }
a_summary()
row_name
(character) statistics to select for the table. Run get_stats("abnormal") -to see available statistics for this function.
character
get_stats("abnormal")
(character) statistics to select for the table.
Options are: 'fraction'
'fraction'
(character) statistics to select for the table. Run get_stats("abnormal_by_baseline") -to see available statistics for this function.
get_stats("abnormal_by_baseline")
(character) statistics to select for the table. Run get_stats("abnormal_by_marked") -to see available statistics for this function.
get_stats("abnormal_by_marked")
Options are: 'count_fraction', 'count_fraction_fixed_dp'
'count_fraction', 'count_fraction_fixed_dp'
(character) statistics to select for the table. Run get_stats("abnormal_by_worst_grade") -to see available statistics for this function.
get_stats("abnormal_by_worst_grade")
(character) statistics to select for the table. Run get_stats("abnormal_by_worst_grade_worsen") -to see all available statistics.
get_stats("abnormal_by_worst_grade_worsen")
(character) statistics to select for the table. Run get_stats("analyze_vars_numeric") to see -statistics available for numeric variables, and get_stats("analyze_vars_counts") for statistics available -for non-numeric variables.
get_stats("analyze_vars_numeric")
get_stats("analyze_vars_counts")
Options for numeric variables are: 'n', 'sum', 'mean', 'sd', 'se', 'mean_sd', 'mean_se', 'mean_ci', 'mean_sei', 'mean_sdi', 'mean_pval', 'median', 'mad', 'median_ci', 'quantiles', 'iqr', 'range', 'min', 'max', 'median_range', 'cv', 'geom_mean', 'geom_mean_ci', 'geom_cv'
'n', 'sum', 'mean', 'sd', 'se', 'mean_sd', 'mean_se', 'mean_ci', 'mean_sei', 'mean_sdi', 'mean_pval', 'median', 'mad', 'median_ci', 'quantiles', 'iqr', 'range', 'min', 'max', 'median_range', 'cv', 'geom_mean', 'geom_mean_ci', 'geom_cv'
Options for non-numeric variables are: 'n', 'count', 'count_fraction', 'count_fraction_fixed_dp', 'fraction', 'n_blq'
'n', 'count', 'count_fraction', 'count_fraction_fixed_dp', 'fraction', 'n_blq'
(character) statistics to select for the table. Run -get_stats("analyze_vars_numeric", add_pval = TRUE) to see statistics available for numeric variables, and -get_stats("analyze_vars_counts", add_pval = TRUE) for statistics available for non-numeric variables.
get_stats("analyze_vars_numeric", add_pval = TRUE)
get_stats("analyze_vars_counts", add_pval = TRUE)
Options for numeric variables are: 'n', 'sum', 'mean', 'sd', 'se', 'mean_sd', 'mean_se', 'mean_ci', 'mean_sei', 'mean_sdi', 'mean_pval', 'median', 'mad', 'median_ci', 'quantiles', 'iqr', 'range', 'min', 'max', 'median_range', 'cv', 'geom_mean', 'geom_mean_ci', 'geom_cv', 'pval'
'n', 'sum', 'mean', 'sd', 'se', 'mean_sd', 'mean_se', 'mean_ci', 'mean_sei', 'mean_sdi', 'mean_pval', 'median', 'mad', 'median_ci', 'quantiles', 'iqr', 'range', 'min', 'max', 'median_range', 'cv', 'geom_mean', 'geom_mean_ci', 'geom_cv', 'pval'
Options for non-numeric variables are: 'n', 'count', 'count_fraction', 'count_fraction_fixed_dp', 'fraction', 'n_blq', 'pval_counts'
'n', 'count', 'count_fraction', 'count_fraction_fixed_dp', 'fraction', 'n_blq', 'pval_counts'
(character) statistics to select for the table. Run get_stats("count_cumulative") -to see available statistics for this function.
get_stats("count_cumulative")
(character) statistics to select for the table. Run get_stats("count_missed_doses") -to see available statistics for this function.
get_stats("count_missed_doses")
Options are: 'n', 'count_fraction', 'count_fraction_fixed_dp'
'n', 'count_fraction', 'count_fraction_fixed_dp'
(character) statistics to select for the table. Run get_stats("count_occurrences") -to see available statistics for this function.
get_stats("count_occurrences")
Options are: 'count', 'count_fraction', 'count_fraction_fixed_dp', 'fraction'
'count', 'count_fraction', 'count_fraction_fixed_dp', 'fraction'
(character) statistics to select for the table. Run get_stats("count_occurrences_by_grade") -to see available statistics for this function.
get_stats("count_occurrences_by_grade")
(character) statistics to select for the table. Run -get_stats("summarize_patients_events_in_cols") to see available statistics for this function, in addition -to any added using filters_list.
get_stats("summarize_patients_events_in_cols")
filters_list
In addition to any statistics added using filters_list, statistic options are: +'unique', 'all'
'unique', 'all'
(character) statistics to select for the table. Run get_stats("count_patients_with_event") -to see available statistics for this function.
get_stats("count_patients_with_event")
Options are: 'n', 'count', 'count_fraction', 'count_fraction_fixed_dp', 'n_blq'
'n', 'count', 'count_fraction', 'count_fraction_fixed_dp', 'n_blq'
(character) statistics to select for the table. Run get_stats("count_patients_with_flags") -to see available statistics for this function.
get_stats("count_patients_with_flags")
(character) statistics to select for the table. Run get_stats("count_values") -to see available statistics for this function.
get_stats("count_values")
(character) statistics to select for the table. Run get_stats("estimate_multinomial_response") -to see available statistics for this function.
get_stats("estimate_multinomial_response")
Options are: 'n_prop', 'prop_ci'
'n_prop', 'prop_ci'
(character) statistics to select for the table. Run get_stats("estimate_proportion") -to see available statistics for this function.
get_stats("estimate_proportion")
(character) statistics to select for the table. Run get_stats("estimate_incidence_rate") -to see available statistics for this function.
get_stats("estimate_incidence_rate")
Options are: 'person_years', 'n_events', 'rate', 'rate_ci', 'n_unique', 'n_rate'
'person_years', 'n_events', 'rate', 'rate_ci', 'n_unique', 'n_rate'
(character) statistics to select for the table. Run get_stats("estimate_odds_ratio") -to see available statistics for this function.
get_stats("estimate_odds_ratio")
Options are: 'or_ci', 'n_tot'
'or_ci', 'n_tot'
(character) statistics to select for the table. Run get_stats("estimate_proportion_diff") -to see available statistics for this function.
get_stats("estimate_proportion_diff")
Options are: 'diff', 'diff_ci'
'diff', 'diff_ci'
(character) statistics to select for the table. Run get_stats("test_proportion_diff") -to see available statistics for this function.
get_stats("test_proportion_diff")
Options are: 'pval'
'pval'
(character) statistics to select for the table. Run get_stats("summarize_ancova") -to see available statistics for this function.
get_stats("summarize_ancova")
Options are: 'n', 'lsmean', 'lsmean_diff', 'lsmean_diff_ci', 'pval'
'n', 'lsmean', 'lsmean_diff', 'lsmean_diff_ci', 'pval'
(character) statistics to select for the table. Run get_stats("analyze_vars_numeric) -to see available statistics for this function.
get_stats("analyze_vars_numeric)
Options are: 'n', 'sum', 'mean', 'sd', 'se', 'mean_sd', 'mean_se', 'mean_ci', 'mean_sei', 'mean_sdi', 'mean_pval', 'median', 'mad', 'median_ci', 'quantiles', 'iqr', 'range', 'min', 'max', 'median_range', 'cv', 'geom_mean', 'geom_mean_ci', 'geom_cv'
(character) statistics to select for the table. Run get_stats("summarize_glm_count") -to see available statistics for this function.
get_stats("summarize_glm_count")
Options are: 'n', 'rate', 'rate_ci', 'rate_ratio', 'rate_ratio_ci', 'pval'
'n', 'rate', 'rate_ci', 'rate_ratio', 'rate_ratio_ci', 'pval'
(character) statistics to select for the table. Run get_stats("summarize_num_patients") -to see available statistics for this function.
get_stats("summarize_num_patients")
Options are: 'unique', 'nonunique', 'unique_count'
'unique', 'nonunique', 'unique_count'
(character) statistics to select for the table. Run -get_stats("analyze_patients_exposure_in_cols") to see available statistics for this function.
get_stats("analyze_patients_exposure_in_cols")
Options are: 'n_patients', 'sum_exposure'
'n_patients', 'sum_exposure'
(character) statistics to select for the table. Run get_stats("coxph_pairwise") -to see available statistics for this function.
get_stats("coxph_pairwise")
Options are: 'pvalue', 'hr', 'hr_ci', 'n_tot', 'n_tot_events'
'pvalue', 'hr', 'hr_ci', 'n_tot', 'n_tot_events'
(character) statistics to select for the table. Run get_stats("surv_time") -to see available statistics for this function.
get_stats("surv_time")
Options are: 'median', 'median_ci', 'quantiles', 'range_censor', 'range_event', 'range'
'median', 'median_ci', 'quantiles', 'range_censor', 'range_event', 'range'
(character) statistics to select for the table. Run get_stats("surv_timepoint") -to see available statistics for this function.
get_stats("surv_timepoint")
Options are: 'pt_at_risk', 'event_free_rate', 'rate_se', 'rate_ci', 'rate_diff', 'rate_diff_ci', 'ztest_pval'
'pt_at_risk', 'event_free_rate', 'rate_se', 'rate_ci', 'rate_diff', 'rate_diff_ci', 'ztest_pval'
