Statistical Methods for Health Professionals II

Course Description

The purpose of this course is to help students gain proficiency applying statistical concepts and procedures for the analysis of health and nutrition data. Statistical analysis techniques used for the analysis of data from experimental and non-experimental research studies covered in this course will include multiple regression assumptions, diagnostics, transformations and robust standard errors, multiple logistic regression, analysis of variance and covariance and analysis of data from cluster randomized trials. In this course students critically evaluate, compare, interpret, judge, summarize and explain statistical results published in research articles in health and nutrition journals that are influencing nutrition science, research, policy, and clinical practice. Students will learn how to formulate research questions, how to identify appropriate statistical techniques, how to perform the analysis with Stata statistical software and report results in tables, text and figures. Prerequisite: NUTB 250: Statistical Methods for Health Professionals I or equivalent.

Basic Enrollment Requirements: Unofficial Transcript - Bachelor's + 3.0 GPA. You will be contacted after registration for required evidence of immunization. 

Instructor Approval: During registration, you will be asked to explain how you meet the pre-requisites for this course and to describe any relevant experience. The instructor will use this information to confirm your enrollment or will otherwise be in touch with you. 

Refund Policy: The refund policy for Courses at Tufts offerings is dependent on the course length. Please refer to the section details to confirm any exceptions to the standard refund policy. The refund policies are viewable here: https://universitycollege.tufts.edu/policies#Refunds 

Remission Eligible: Yes; all university policies apply. 

This online asynchronous course has a required in-person synchronous component on the Boston campus referred to as "MNSP Residency." Enrollment cannot remain intact if a student cannot attend the associated in-person synchronous component for the course: https://tufts.app.box.com/s/axuvgmixq5wkynupt24m7mts05eai742.