In kwathen/OCTOPUS: OCTOPUS

knitr::opts_chunk$set(echo = TRUE)

Examples are included in the installation folder as case studies, CaseStudy2 and CaseStudy3 with corresponding R Studio project files CaseStudy2.Rpoj and CaseStudy3.Rpoj, respectively. Below is a brief description of each case study.

Case Study 1

One of the first tasks that is typically conducted by a team is the comparison of patient recruitment in a platform trial with two ISAs versus two sequential POC studies. This case study utilized the R Shiny App in this package to compare the recruitment under a given set of assumptions regarding patient recruitment rates, number of sites and time delay for platform trial versus consecutive POC studies. The focus is on the operational comparisons rather than statistical comparisons.
Located in Examples/CaseStudy1

Case Study 2

Located in Examples/CaseStudy2
Platform trial with 1 ISA.
No interim analysis and final analysis when all patients have 24 weeks of follow-up
30 patients on control 60 patients on treatment
Primary outcome is repeated measure evaluated at baseline, 4, 8, 12, 16, 20 and 24 weeks after treatment
Analyze difference from baseline at week 24 compared to control
Minimum Acceptable Value MAV = 0.5 difference between control and treatment
Demonstrates how to add a new analysis method

Case Study 3

Builds onto Case Study 2.
Located in the Examples/CaseStudy3
Assume that patients either respond (R) or they are non-responder (NR)
If a patient is a non-responder (NR) their outcomes are generated from mean vector 1
If a patient is a responder (R) their outcomes are generated from mean vector 2
Created a new patient outcome simulation type.
Develope SimPatientOutcomes.MVNWithCovariateCS3 based on SimPatientOutcomes.MVNWithCovariate to demonstrate how to add a new patient outcome simulator type
Historical data suggests that 2% of patients on control will respond.
Treatment should increase the % of responders.