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Statistical Methods in Public Health II

2nd term
4 credits
Academic Year:
2022 - 2023
Instruction Method:
Asynchronous Online with Some Synchronous Online
Lab Times:
  • Monday,  8:30 - 9:50am (01)
  • Tuesday,  8:30 - 9:50am (02)
  • Wednesday,  8:30 - 9:50am (03)
  • Thursday,  8:30 - 9:50am (04)
  • Friday,  8:30 - 9:50am (05)
  • Monday,  1:30 - 2:50pm (06)
  • Tuesday,  1:30 - 2:50pm (07)
  • Wednesday,  1:30 - 2:50pm (08)
  • Thursday,  1:30 - 2:50pm (09)
  • Friday,  1:30 - 2:50pm (10)
  • Monday,  3:30 - 4:50pm (11)
  • Tuesday,  3:30 - 4:50pm (12)
  • Monday,  3:30 - 4:50pm (13)
  • Monday,  3:30 - 4:50pm (14)
  • Monday,  3:30 - 4:50pm (15)
  • Note:
    Student also must register for one Lab (140.922.xx). Students choose a day/time/format for a weekly Lab with review of a structured Lab Exercise. - The format is either onsite or online (synchronous virtual via Zoom). - The data analysis tool is either Stata or R. Note: Students choosing R should have prior experience using a computer programming language (Python, C, R, MATLAB, etc.)
Auditors Allowed:
Yes, with instructor consent
Undergrads Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructors:
Marie Diener-West

Introduction to Online Learning is required prior to participating in any of the School's Internet-based courses. 140.621


Presents use of confidence intervals and and hypothesis tests to draw scientific statistical inferences from public health data. Introduces generalized linear models, including linear regression and logististic regression models. Develops unadjusted analyses and analyses adjusted for possible confounders. Outlines methods for model building, fitting and checking assumptions. Focuses on the accurate statement of the scientific question, appropriate choice of generalized linear model, and correct interpretation of the estimated regression coefficients and confidence intervals to address the question.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Use statistical reasoning to formulate public health questions in quantitative terms
  2. Distinguish between the appropriate generalized linear regression models for expressing the relationship between a response (dependent variable or outcome) and one or more independent variables
  3. Recognize the assumptions required in using regression models and performing statistical tests to assess relationships between an outcome and a risk factor
  4. Use statistical methods for inference, including confidence intervals and tests, to draw valid public health inferences from study data
  5. Formulate and correctly interpret relationships in a linear regression model.
  6. Interpret the correlation coefficient as a measure of the strength of a linear association between a continuous response variable and a continuous predictor variable
  7. Interpret the coefficients, including interaction coefficients, obtained from a multiple linear regression analysis
  8. Estimate a confidence interval for a linear regression coefficient; interpret the interval estimates within a scientific context
  9. Distinguish the summary measures of association applicable to retrospective and prospective study designs
  10. Estimate two proportions and their difference, and confidence intervals for each; interpret the interval estimates within a scientific context
  11. Estimate an odds ratio, or relative risk, and its associated confidence interval; explain the difference between the two and when each is appropriate
  12. Interpret the coefficients, including interaction coefficients, obtained from a multiple logistic regression analysis
  13. Assess whether the relationship between a response (dependent) variable and an independent variable varies by the level of a second independent variable (effect modification)
  14. Recognize the influence of sample size on statistical inferences
  15. Use the Stata statistical analysis or R packages to perform regression analyses
Methods of Assessment:

This course is evaluated as follows:

  • 20% Assessments
  • 10% Quizzes
  • 70% Exam(s)

Instructor Consent:

Consent required for some students

Consent Note:

Consent required for non-PH students

For consent, contact:

Special Comments:

Lectures are asynchronous and pre-recorded. LiveTalks: Synchronous online every Tuesday from 7-8:30 pm ET. Each student registers for one Lab Section 140.922.xx (02,05,09 and 13 are Stata online labs; 03,06,07,10,12 and 14 are Stata onsite labs; 01 is an R online lab; 04,08,11 and 15 are R onsite labs).