Non-SOT Event: Statistical Analysis with Missing Data Workshop: Methods and Applications in Health S

The Statistical Analysis with Missing Data Workshop is a two-day intensive workshop of seminars and hands-on analytical sessions to provide an overview of concepts, methods, and applications for statistical analysis of health studies with missing data.

By the end of the workshop, participants will be familiar with the following topics:
- Missing data patterns and mechanisms
- Weighting methods
- Maximum likelihood methods
- Bayes and multiple imputation
- Approaches to missing not at random
- Missing data in surveys
- Missing data in longitudinal studies
- Missing data in clinical trials

Investigators from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.

Prerequisites and Requirements: There are three requirements to attend this training:
- Each participant must be familiar with common methods of statistical analysis of complete data, such as - multiple regression and logistic regression.
- Each participant must have experience with programming in R.
- Each participant is required to bring a personal laptop as all lab sessions will be done on your personal - laptop. Each participant must have R downloaded and installed prior to attending the Workshop.

Capacity is limited. Paid registration is required to attend.

Additional Information:
- See website for more details: https://www.publichealth.columbia.edu/academics/non-degree-special-programs/professional-non-degree-programs/skills-health-research-professionals-sharp-training/trainings/statistical-analysis-missing-data
- Email us with any questions: Columbia.StatisticalAnalysis@gmail.com