COVID-19 Update: The EMR Boot Camp will not take place in person due to the COVID-19 pandemic. Instead, the Training will be a live-stream, remote training that takes place over live, online video on August 12-13, 2021 from 10am EDT - ~5pm EDT. Please note this training is not a self-paced, pre-recorded online training.
This two-day intensive workshop will go over opportunities and potentials of EMR/EHR for health and medical studies, statistical challenges and pitfalls for analyzing EMR/EHR, and the latest developments of multiple techniques to address those challenges, followed by hands-on computer lab sessions and case studies to put concepts into practice.
By the end of the electronic medical records training, participants will be familiar with the following topics:
-Power and potentials of EMR/EHR data
-Open-access datasets across the world
-Preparation, transformation and integration of EMR/EHR
-Confounding, bias and missing data in EMR/EHR and statistical methods addressing these challenges
-Statistical methods for comparative effectiveness
-Statistical methods for predictive analysis
Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.
PREREQUISITES AND REQUIREMENTS
There are three prerequisites and requirements to attend this training:
1.Each participant must have an introductory background in statistics.
2.Each participant must be familiar with R.
3.Each participant must have a laptop with R and RStudio downloaded and installed prior to the first day of the training.
Shuang Wang, PhD, Department of Biostatistics, Columbia University
Ying Wei, PhD, Department of Biostatistics, Columbia University
For more details and to subscribe for updates; email us at Columbia.EMR@gmail.com.
Capacityâ€¯isâ€¯limited. Paid registration is required to attend.
Electronic Medical Records Boot Camp
Columbia [dot] EMR [at] gmail [dot] com