Published November 21, 2019 | Version 2
Dataset Open

Supporting material for: A multi-batch design to deliver robust estimates of efficacy and reduce animal use – a syngeneic tumour case study

Authors/Creators

  • 1. Data Sciences & Quantitative Biology, Discovery Sciences, R&D, AstraZeneca, Cambridge, UK
  • 2. Early Oncology TDE, R&D Oncology, AstraZeneca, Alderley Park, UK
  • 3. Precision Medicine, R&D Oncology, AstraZeneca, Cambridge, UK
  • 4. Preclinical Science Services, Alderley park Limited, Macclesfield, UK
  • 5. Prioris.ai Inc. Ottawa ON, Canada
  • 6. Early TDE Discovery, R&D Oncology, AstraZeneca, Cambridge, UK

Description

Underlying data,  R scripts and subsequent figures are presented to deliver a replicable and transparent analysis for the manuscript "A multi-batch design to deliver robust estimates of efficacy and reduce animal use – a syngeneic tumour case study"

Published in Scientific Reports

See: https://rdcu.be/b3vj2  

 

This is version 2 of this data.  This differs from version 1 in the following

1.  The number of simulation has increased from 300 to 2000 in each simulation cycle

2. Script has been added to generate publication level figures

 

 

 

Files

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