Introduction to Biostatistics
INTRODUCTION TO BIOSTATIS
Biostatistics is essential to ensuring that findings and practices in public health and biomedicine are supported by reliable evidence. This course covers the basic tools for the collection, analysis, and presentation of data in all areas of public health. Central to these skills is assessing the impact of chance and variability on the interpretation of research findings and subsequent recommendations for public health practice and policy. Topics covered include: general principles of study design; probability, hypothesis testing; review of methods for comparison of discrete and continuous data including ANOVA, t-test, correlation, and regression. This course is part of the core course requirement for the MPH and is a prerequisite for other courses in the Department of Biostatistics and throughout the Mailman School of Public Health.
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Instructor:
Christine M Mauro
Info - 3 points
Introduction to Race and Health
INTRODUCTION TO RACE & HE
It is widely acknowledged that as a variable, 'race' often explains a significant portion of the variation we observe in patterns of morbidity and mortality. But it isalso understood that race is a socially determined construct that functions as a proxy for a host of other variables associated with, among others, socioeconomic status, culture, place of residence, and position within social networks. The question that we will explore together is how to deconstruct ‘race’ to understand what factor or group of factors create the patterns of health disparities that are so dramatically present among populations of color here in the US. COVID-19 has exploited these factors tocreate a burden of disease in many communities of color that will substantially impact medicine and public health for much of the foreseeable future.One of the issues of particular salience for medical and public health research is how to go beyond describing the correlation between race and health to create effective interventions for eliminating such disparities. How can our exploration of health disparities generate the levers that we can use to promote health and prevent disease? How well do our explanatory models of race and health provide us with the tools to eliminate disparities and create a system dedicated to creating and preserving health equity?
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