callsInSingleExperiment: Simulation of a single population PDX experiment

In populationPDXdesign: Designing Population PDX Studies

Description

This is an internal function. Please use cautiously if calling directly. Samples some animals and classify as responders or non-responders based on number of models studied (PDXn), number of mice measured per model (PDXr), the classification accuracy (C_Acc) and the underlying biological response rate (Biol_RR). Example usage: callsInSingleExperiment(PDXn=8, PDXr=3, C_Acc=0.95, Biol_RR=30)

Usage

callsInSingleExperiment(PDXn, PDXr, C_Acc, Biol_RR)

Arguments

PDXn	number of PDX models studied
PDXr	number of mice measured per PDX model
C_Acc	classification accuracy
Biol_RR	underlying biological response rate for this treatment

Value

dataframe with three columns:

- PDXModel is a string that indicates the model id

- PDXclassification is a numeric value that indicates the true biological classification of that PDX - 0 equal non-responder and 1 equal responder

- StudyResult is a numeric value that indicates the classification of the PDX model after sampling - 0 equal non-responder and 1 equal responder

Author(s)

Maria Luisa Guerriero, [e-mail]

Natasha A. Karp, [e-mail]

populationPDXdesign documentation built on May 2, 2019, 9:13 a.m.