Statistical Methods in Public Health I
- East Baltimore
- 1st term
- 4 credits
- Academic Year:
- 2022 - 2023
- Instruction Method:
- Class Times:
- Tu Th, 10:30 - 11:50am
- Auditors Allowed:
- Yes, with instructor consent
- Undergrads Allowed:
- Grading Restriction:
- Letter Grade or Pass/Fail
- Course Instructors:
- Marie Diener-West
Introduces the basic concepts and methods of statistics as applied to diverse problems in public health and medicine. Demonstrates methods of exploring, organizing, and presenting data, and introduces fundamentals of probability, including probability distributions and conditional probability, with applications to 2x2 tables. Presents the foundations of statistical inference, including concepts of population, sample parameter, and estimate; and approaches to inferences using the likelihood function, confidence intervals, and hypothesis tests. Introduces and employs the statistical computing package, STATA or R, to manipulate data and prepare students for remaining course work in this sequence.
- Learning Objectives:
Upon successfully completing this course, students will be able to:
- Explain the role of quantitative methods and sciences in describing and assessing a population’s health
- Use statistical reasoning to formulate public health questions in quantitative terms within the scientific method
- Select quantitative data collection methods and variables appropriate for a given public health context
- Design and interpret graphical and tabular displays of statistical information, including stem and leaf plots, box plots, Q-Q plots and frequency tables.
- Distinguish and use appropriate probability models (binomial, Poisson, and Gaussian) to describe trends and random variation in public health data.
- Employ statistical methods for inference, including tests and confidence intervals, to draw public health inferences from data.
- Analyze quantitative data using either the Stata statistical analysis package or R package to construct tables and graphs and perform statistical methods for inference.
- Interpret results of data analysis for public health research, policy or practice
- Methods of Assessment:
This course is evaluated as follows:
- 20% Assessments
- 10% Quizzes
- 70% Exam(s)
- Enrollment Restriction:
For MPH, DrPH, "special students" and MSPH degree candidates
- Instructor Consent:
Consent required for some students
- Consent Note:
Consent Required for non-PH students
- For consent, contact: