In order to follow-along in guided analyses and complete course exercises, individuals will need access to STATA and familiarity with the basic STATA command structure. STATA will need to be downloaded and installed. A STATA licenses is required, which is not included in the course. STATA may be included through your university or department. The cost of STATA varies depending on your country of residence and the type of license that you purchase. For PHIA, at the STATE/SE is recommended. STATA can be downloaded at https://www.stata.com/order/educational-license-options/. There are a number of introductory STATA tutorials available for free online. Individuals lacking experience in STATA programming must familiarize themselves with STATA prior to beginning this course.
Sally Findley, PhD
Professor Emerita in Population and Family Health
Mailman School of Public Health, Columbia University
In my thirty years as a professor at Mailman School of Public Health, I have taught multiple methodological courses for MPH students, including Demographic Methods and Applied Public Health Research Methods for LMIC settings, and I have supervised theses and dissertations applying complex data analysis methods to different African household survey data sets. I have developed an effective teaching and training style that emphasizes participatory activities and adult learning methods. From 2015-2019, I was the Senior Technical Advisor for Capacity Building for the ICAP Population-based HIV Impact Assessment (PHIA) Surveys in 13 countries. The three-workshop capacity building sequence led to significant gains in data analysis competencies among the 200 participants. These workshops have now been adapted as distance learning modules so they can be offered to any HIV/AIDS or sexual and reproductive health researchers wanting to conduct investigations with these complex but exceptionally rich PHIA datasets.
This is a month-long digital course, equivalent to approximately 20 hours of classroom instruction. Lectures and course material will be presented online in roughly weekly segments. The flexible format will include video or audio recordings of lecture material, file sharing and topical discussion, self-assessment exercises, and access to the instructor for feedback during the course. The course utilizes the learning management software, Canvas (https://canvas.instructure.com/login); participants will receive an e-mail inviting them to join on the first day of the course. Any additional information about technical requirements and access to the course will be shared in the weeks before the course begins.