Public health and healthcare delivery is constantly inundated with data from sources, including clinical trials, observational and longitudinal studies, genomics, and more. Having a firm grasp of the statistical computing skill-set can help you analyze this information effectively, and translate the flow of data into meaningful information that can inform decisions to improve the health of populations.
Get a comprehensive introduction to the use of biostatistics in the field of public health, while learning to compute and interpret descriptive and inferential statistics using SAS JMP®. (Program typically completed in 4 weeks.)
This program introduces students to statistical computing with focus on the SAS package. Emphasis is on manipulating data sets and basic statistical procedures such as t-tests, chi-square tests, and correlation.
Systematic reviews (SR) are increasingly used to inform clinical and public health practice. SR seek to collate all evidence that fits pre-specified eligibility criteria in order to address a specific research question.
Meta-Analysis is the gold standard statistical approach to combine the results of multiple studies and to examine sources of heterogeneity and potential biases.