140.611.94
Statistical Reasoning in Public Health I
- Location:
- India
- Term:
- 2nd term
- Department:
- Biostatistics
- Credits:
- 3 credits
- Academic Year:
- 2022 - 2023
- Instruction Method:
- TBD
- Auditors Allowed:
- Yes, with instructor consent
- Grading Restriction:
- Letter Grade or Pass/Fail
- Contact:
- Felicity Turner
- Resources:
- Description:
-
Provides students with a broad overview of biostatistical methods and concepts used in the public health sciences. Emphasizes the interpretation and conceptual foundations of statistical estimation and inference.
- Learning Objectives:
-
Upon successfully completing this course, students will be able to:
- Provide examples of different types of data arising in public health studies
- Interpret differences in data distributions via visual displays
- Calculate and interpret confidence intervals for population means and proportions and incident rates using data from single samples
- Compute the mean difference and explain why a mean difference can be used to quantify differences in a continuous measure between two samples (and ultimately two populations)
- Compute risk differences, relative risks and odds ratio
- Compare, contrast, and interpret relative risks and odds ratios when comparing binary outcomes between two populations
- Compute incidence rates and incidence rate ratios
- Construct, and interpret, Kaplan-Meier estimates of the survival function that describes the "survival experience" of a cohort of subjects
- Explain and unify the concept of a confidence interval whether it be for a single population quantity, or a comparison of populations
- Perform hypothesis tests for populations comparisons and interpret the resulting p-values
- Methods of Assessment:
This course is evaluated as follows:
- 99% Exam(s)
- Enrollment Restriction:
Only students enrolled in the MPH program with IIHMR, Jaipur are permitted in this section
- Instructor Consent:
No consent required
- Special Comments:
This section is offered in Jaipur, India