140.676.11
Biostatistical Analysis of Epidemiologic Data I: Basic Tools
Location
East Baltimore
Term
Summer Institute
Department
Biostatistics
Credit(s)
2
Academic Year
2017 - 2018
Instruction Method
TBD
Start Date
Monday, June 12, 2017
End Date
Friday, June 16, 2017
M, Tu, W, Th, F, 8:30am - 12:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Steve Selvin
Contact Name
Frequency Schedule
Every Year
Resources
The course describes important biostatistical tools followed by a discussion of useful analytic strategies and how they work to distill messages from data.
Begins with a brief review of statistical estimation and
probability distributions. Also included is an introduction to bootstrap methods of statistical estimation. Then, confidence intervals are explored in detail. The analysis of two of
the most common and important biostatistical/epidemiological tools, namely 2 by 2 tables and 2 by k tables, follows. The roll of a variety of issues such as confounding variables, interaction, bias and independence, key elements in many statistical applications, are an additional focus of these discussions. Weighted averages are discussed particularly in the context of combining tables and estimates.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Understand and interpret confidence intervals in a variety of situations
- Understand the application of relative risk and odds ratio statistics particularly applied to 2 by 2 tables and 2 by k tables
- Understand rigorously the biostatistical/epidemiological concepts, precision, accuracy, independence, bias and confounding, in the context of the analysis of tables
- Use extremely simple and comprehensive bootstrap estimation methods