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. Please note this training is live-stream, virtual training. It is not a self-paced, online course.
PREREQUISITES AND REQUIREMENTS
There are three prerequisites and requirements to attend this training:
-Each participant must have an introductory background in statistics.
-Each participant must be familiar with R.
-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
- Scholarships are available: https://www.publichealth.columbia.edu/research/precision-prevention/professional-development-scholarships
- Subscribe for updates: http://eepurl.com/gNkfHf
- Email our team: Columbia.EMR@gmail.com
Capacity is limited. Paid Registration is required to attend.
Electronic Medical Records Boot Camp
Columbia [dot] EMR [at] gmail [dot] com