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PTE (version 1.7)

Personalized Treatment Evaluator

Description

We provide inference for personalized medicine models. Namely, we answer the questions: (1) how much better does a purported personalized recommendation engine for treatments do over a business-as-usual approach and (2) is that difference statistically significant?

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Version

Install

install.packages('PTE')

Monthly Downloads

145

Version

1.7

License

GPL-3

Maintainer

Adam Kapelner

Last Published

January 31st, 2019

Functions in PTE (1.7)

PTE

Personalized Medicine Inference
plot.PTE_bootstrap_results

Plots a summary of the bootstrap samples.
survival_example

Mock RCT data with a survival endpoint.
print.PTE_bootstrap_results

Prints a summary of the model to the console
continuous_example

Mock RCT data with a continuous endpoint.
summary.PTE_bootstrap_results

Prints a summary of the model to the console
PTE_bootstrap_inference

Bootstrap inference for a prespecified personalization / recommendation model