Using both the topmodels and the gratia packages - an example for 432 in Spring 2024

This document demonstrates multiple matching strategies incorporating the propensity score, including the assessment of covariate balance before and after matching. I’ve simulated data to match real information we’ve collected over the years at Better Health Partnership on adults who live with diabetes. These data mirror some of the real data collected from electronic health records across the region by Better Health Partnership, but individual values have been permuted across patients, so the results are not applicable to any population.

The analysis provided here was developed by Wyatt P. Bensken and Harry Persaud. The lindner data come from an observational study of 996 patients receiving an initial Percutaneous Coronary Intervention (PCI) at Ohio Heart Health, Christ Hospital, Cincinnati in 1997 and followed for at least 6 months by the staff of the Lindner Center.

This is a complete analysis of the toy data for PQHS/CRSP 500 at CWRU, updated in Spring 2024. The data are entirely fictitious.

Builds on almost all of the proposal and adds the new things required in the portfolio. The qmd file for this document is available at https://github.com/THOMASELOVE/431-data/tree/main

The Quarto file for this example is available at https://github.com/THOMASELOVE/431-data/blob/main/data-and-code/431-projA-sample-proposal.qmd

This template's Quarto file is available at https://github.com/THOMASELOVE/431-data/blob/main/data-and-code/431-projA-proposal-template.qmd

The Quarto file associated is available at https://github.com/THOMASELOVE/431-data

Right Heart Catheterization and Propensity Methods for PQHS/CRSP 500 at CWRU. See https://github.com/THOMASELOVE/500-data/tree/master/rhc for more details.

This example uses real data from the SUPPORT study, describing some matching and weighting analyses related to the causal effects of right heart catheterization in critically ill patients.

A walk through 13 tasks relevant to developing propensity score matched, weighted, stratified (subclassified) and regression-adjusted analyses of a simple observational study. The Data Set is 100% fictional.

An Example for 431 Class 13: 2021-10-05

See https://github.com/THOMASELOVE/431-2021/tree/main/classes/class03 for details.

432 Project 2 short example using NHANES data to display some key steps in data management, merging data, cleaning data, codebooking, and splitting into testing/training samples.

The analysis provided here was developed by Wyatt Bensken and Harry Persaud. It involves 12 separate tasks using methods for both quantitative and binary outcomes. The data come from an observational study of 996 patients receiving an initial Percutaneous Coronary Intervention (PCI) at Ohio Heart Health, Christ Hospital, Cincinnati in 1997 and followed for at least 6 months by the staff of the Lindner Center.

Lab 02 template using the downcute option in the rmdformats package

Fall 2020 demonstration project for 431 Project B Study 2.

Fall 2020 Project B Study 1 demonstration project for 431

Fall 2020 from Dr. Love

431 Fall 2020 materials using Movies data

This is the HTML result of knitting Dr. Love's Project A Proposal Example.

Part 4 of Lab 1 (the survey) results from Fall 2020

Live Demo from 431 class on 2020-09-01

This is meant to walk you through the steps of completing some elementary analyses using R, R Studio, and R Markdown. Working through this document will definitely help you get rolling on our labs and other assignments.

These materials address some questions posed to me after the first attempt at the Honors Opportunity after Quiz 1. We'll discuss them in class on 2019-04-02, but you might want to look them over before submitting your second attempt on the Honors Opportunity, should you need to.

How I built the `omas_431` data file for our use in class, starting with the 2015 Ohio Medicaid Assessment Survey public use data file from http://grc.osu.edu/OMAS/2015Survey. Includes codebook.

Demonstration of mapping the state of Ohio, and highlighting Delaware County, with geom_sf and with leaflet