Trainings: Data for Decision-Making
The overarching goal for every ‘Data for Decision-Making’ training is to use aggregate data to perform statistical tests that inform public health decision-making processes. M&IHC's trainings can use organizations' unique data sets or leverage M&IHC off-the-shelf curriculum and data sets.
Elizabeth Glaser Pediatric AIDS Foundation (EGPAF)
M&IHC designed and implemented a customized 3-day data analysis training for EGPAF’s Global Strategic Information and Evaluation team. This comprehensive biostatistical analysis training consisted of 13 training sessions, including 9 hands-on exercises. Topics included utilizing Stata for data management, T-tests, ANOVA, linear regression, logistic regression, and multivariate regression. The training’s overarching focus was on how to use EGPAF’s actual aggregate and individual patient data to answer questions about the populations that EGPAF serves; to determine the effectiveness of past and current programming; to make data-based decisions for future programming.
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U.S. Food and Drug Administration (FDA)
M&IHC facilitated a 2-day ‘Data for Decision-Making’ training for researchers from the Center for Tobacco Products at the FDA. M&IHC facilitated 8 topic sessions and 7 activities that provided comprehensive instruction on statistical analysis using Stata. These trainings leveraged M&IHC’s off-the-shelf Stata presentation decks and handouts to learn about topics including: data construction, data management, cross-tabulation analysis, T-tests, ANOVA, linear regression, and logistic regression. The overarching goal of this training was to teach attendees how to utilize Stata to manage data, perform statistical tests, and interpret results for the FDA’s research and programmatic decision-making.