Objective: We sought to construct and validate a model that predict a medical students chances of matching into an obstetrics and gynecology residency. The prediction target is matching.

##Install and Load packages

##Set working directory to files present in the Dropbox folder.

##Download cleaned data from Dropbox. The data was cleaned in exploratory.io before coming into R. The data set of years 2015, 2016, 2017, and 2018 at University of Colorado. The data is contained in a data frame called all_data.

Bring in the columns that are desired for all_data.

Add in nicer labels using Hmisc::label command. Because the nomogram will be created from rms these labels will be helpful later on.

##Univariate analysis of the data to show the distributions. I set the cutpoints based on nothing really.I like this better than the base summary command.

Set the Match_Status variable to be a number and a factor.

A model to predict chances of matching into Obstetrics and Gynecology Residency

Tyler Muffly, MD

5/10/2019

Objective: We sought to construct and validate a model that predict a medical students chances of matching into an obstetrics and gynecology residency. The prediction target is matching.