140.621.02
Statistical Methods in Public Health I
Cancelled
 Location:
 East Baltimore
 Term:
 1st 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:
 Karen BandeenRoche
 Resources:
 Description:

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 populationâ€™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, QQ 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 PhD, ScD, ScM and MHS degree candidates
 Instructor Consent:
Consent required for some students
 Consent Note:
Consent of instructor required for nonPH students
 For consent, contact: