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Modeling Clinical Trial Attrition Using Machine Intelligence: 

A driver analytics case study using 1,325 trials representing one million patients 

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This file is the readme.txt file for the code folder that contains the R code that was used in the model

TABLE OF CONTENTS

-----------------

* Full Author List

* Introduction

* Requirements

* Folder Contents

* Contact

Full Author List

----------------

Emmette Hutchison, Youyi Zhang, Sreenath Nampally, Imran Khan Neelufer, Vlad Malkov, Jim Weatherall, Faisal Khan and Khader Shameer 

Introduction

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Patient attrition, also referred to as dropout or patient withdrawal, occurs when patients enrolled 

in a clinical trial either withdraw or are lost to follow-up by the clinical site and trial sponsor.

Requirements

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This was performed using RStudio and R. The versions of RStudio and R are listed below:

RStudio 1.0.44, which can be downloaded from https://rstudio.com/products/rstudio/download/ 

R 3.5.2 (2018-12-20). RStudio can be installed from https://cran.r-project.org/mirrors.html

The project requires the following R packages. The version numbers indicate the version of the packages 

that were used in the analysis. Please install the following packages using the command below in your R

Environment

    SuperLearner==2.0-26

    MASS==7.3-51.5

    ranger==0.12.1

    ipred==0.9-9

    kernlab==0.9-29

    arm==1.10-1

    dplyr==1.4.2

    caret==6.0-84

    parallel==3.5.2

Folder Contents

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This folder contains the data files that was used in the analysis. The file descriptions are listed below:

```

|---- readme.md :  readme file for the data folder

|

|---- code : This folder contains the code required for the pre-processing of raw data and running the predictive model results,

|            further explanation is available in a readme file within this folder

|

|---- data:  This folder contains two sub-folders, another readme file in the folder will explain the overview on each folder content.

        |---- analysis_ready

|---- requirments.txt : is a file which lists the libraries used in the model building exercise, this file can be used to install the packages needed.

|       

|       Using command "Install.Packages("package name") one can easily install the required packages

```

Contact

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shameer.khader@astrazeneca.com