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short-course-2024-january's Introduction

Introduction to Analyzing Real-World Data
Using the National COVID Cohort Collaborative
(N3C)

Educational material for the N3C short course, January 2024. (All assignments are contained in the secure Enclave.)

Assets For Students

Session Assignments Recordings
1. Introduction to N3C post-work: due Jan 25 Echo360 Recording
2. Vocabularies, OHDSI Tools, and N3C post-work: due Feb 1 Echo360 Recording
3. Analysis Using Synthetic Data pre-work: due Feb 1 &
post-work: due Feb 8
Echo360 Recording
4. Building an Analytic Dataset
Using Shared N3C Resources
pre-work: due Feb 8 Echo360 Recording
5. Analyzing Data Curated from N3C:
A Replication Study
not available
b/c L2
6. N3C Policies and Procedures:
From Access to Publication
Echo360 Recording

Assets For Instructors

Installing package

remotes::install_github(
  "National-COVID-Cohort-Collaborative/short-course-2024-january",
  subdir = "workflow"
)

short-course-2024-january's People

Contributors

caxton-m avatar cheng-james avatar jerrodanzalone avatar oneilsh avatar wibeasley avatar

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short-course-2024-january's Issues

simulate dataset

At least for now, a proof of concept and template for instructors to think about.

  1. Start small with 1k patients and a few OMOP tables
  2. Simulate signal and noise that are connected to some hypotheses we'll use as examples in the course
  3. At least for now, develop all the simulations outside of the Enclave. Just with R and saving three output formats: csvs, SQLite, & DuckDB. This independence may help @oneilsh and others transition to a platform-agnostic more easily later.

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