Design Clinical Trials using Sequential Predictive Probability
Monitoring
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Documentation for package ‘ppseq’ version 0.2.4
Help Pages
| calc_decision_rules | Calculate a decision rule table for interim monitoring of a pre-specified design |
| calc_next | Calculate response probability for the next patient |
| calc_posterior | Calculate a single posterior probability |
| calc_predictive | Calculate a single posterior predictive probability |
| calibrate_posterior_threshold | Calibrate the posterior probability threshold |
| calibrate_thresholds | Calibrate according to posterior probability threshold and predictive probability threshold with interim futility monitoring |
| eval_thresh | Evaluate a single dataset for a single pp_threshold and ppp_threshold combination |
| one_sample_cal_tbl | Output from a one-sample call to 'calibrate_thresholds' |
| one_sample_decision_tbl | Output from a one-sample call to 'calc_decision_rules' |
| optimize_design.calibrate_thresholds | Custom optimization method for 'calibrate_thresholds' objects |
| plot.calc_decision_rules | Plot method for 'calc_decision_rules' objects |
| plot.calibrate_thresholds | Plot method for 'calibrate_thresholds' objects |
| print.calibrate_thresholds | Print method for 'calibrate_thresholds' objects |
| sim_dat1 | Simulate a single dataset based on the response probability(ies), the total sample size(s), and the interim look schedule(s) |
| sim_single_trial | Simulate a single trial with posterior probability monitoring |
| two_sample_cal_tbl | Output from a two-sample call to 'calibrate_thresholds' |
| two_sample_decision_tbl | Output from a two-sample call to 'calc_decision_rules' |