140.622.01
Statistical Methods in Public Health II
Cancelled
 Location:
 East Baltimore
 Term:
 2nd term
 Department:
 Biostatistics
 Credits:
 4 credits
 Academic Year:
 2021  2022
 Instruction Method:
 TBD
 Class Times:

 Tu Th, 10:30  11:50am
 Auditors Allowed:
 Yes, with instructor consent
 Grading Restriction:
 Letter Grade or Pass/Fail
 Course Instructors:
 Contact:
 Marie DienerWest
 Resources:
 Prerequisite:
 Description:

Presents use of likelihood functions, confidence intervals, and hypothesis tests to draw scientific inferences from public health data. Discusses null and alternative hypotheses, Type I and II errors, and power. Develops parametric and nonparametric statistical methods for comparing multiple groups (ANOVA). Also introduces measures of association and simple linear regression. Addresses methods for planning a study, including stratification, balance, sampling strategies, and sample size.
 Learning Objectives:

Upon successfully completing this course, students will be able to:
 Distinguish the summary measures of association applicable to retrospective and prospective study designs
 Distinguish between the appropriate regression models for handling different types of public health outcomes
 Recognize the assumptions required in using regression models and performing statistical tests to assess relationships between an outcome and a risk factor
 Perform and interpret a oneway analysis of variance to test for differences in means among three or more populations
 Contrast mean outcomes among pairwise groups using multiple comparisons procedures
 Interpret the correlation coefficient as a measure of the strength of a linear association between a continuous response variable and a continuous predictor variable
 Interpret the coefficients, including interaction coefficients, obtained from either a multiple linear regression or multiple logistic regression analysis
 Calculate the sample size necessary for estimating either a continuous or binary outcome in a single group or difference between two groups
 Calculate the sample size necessary for determining a statistically significant difference in either a continuous or binary outcome for either one group or between two groups
 Use the Stata statistical analysis package to perform regression analyses and sample size estimation
 Methods of Assessment:
This course is evaluated as follows:
 20% Assessments
 10% Quizzes
 70% Exam(s)
 Enrollment Restriction:
For MPH, DrPH, "special students" and MHS degree candidates in departments to be determined
 Instructor Consent:
Consent required for some students
 Consent Note:
Consent required for nonPH students
 For consent, contact:
 Special Comments:
Registration is expected to open for this section on or about October 5, 2020.