Optimal Monotone Conditional Error Functions
Simple range check for numeric variables
Create a design object for the optimal conditional error function.
Calculate Expected Second-stage Information
Internal variation of getPsi() used by findLevelConstant()
Internal calculation of the integral over psi
Calculate the integral over a partially constant function
Get Level Constant for Optimal Conditional Error Function
Calculate Likelihood Ratio
Return Monotone Function Values
Calculate the Constants for Monotonisation
Calculate Nu
Calculate the Derivate of Nu
Calculate the Optimal Conditional Error
Calculate the overall power
Calculate Psi, the Inverse of Nu Prime
Calculate Q
Calculate the Second-stage Information
Simulate trials
Integrate over information
Plot the optimal conditional error function
Power results for optimal conditional error design
Print power results
Print simulation results
Print optimal conditional error trial design
Simulation results for optimal conditional error design
Summary of the optimal conditional error trial design
Optimal Conditional Error Design
Design and analysis of confirmatory adaptive clinical trials using the optimal conditional error framework according to Brannath and Bauer (2004) <doi:10.1111/j.0006-341X.2004.00221.x>. An extension to the optimal conditional error function using interim estimates as described in Brannath and Dreher (2024) <doi:10.48550/arXiv.2402.00814> and functions to ensure that the resulting conditional error function is non-increasing are also available.
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