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Course Catalog

140.676.11 Biostatistical Analysis of Epidemiologic Data I: Logistic Regression

Department:
Biostatistics
Term:
Summer Inst. term
Credits:
2 credits
Academic Year:
2017 - 2018
Location:
East Baltimore
Dates:
Mon 06/12/2017 - Fri 06/16/2017
Class Times:
  • M Tu W Th F,  8:30am - 12:00pm
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Ayesha Khan
Course Instructor:
  • Steve Selvin
Resources:
Description:

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:

  1. Understand and interpret confidence intervals in a variety of situations
  2. Understand the application of relative risk and odds ratio statistics particularly applied to 2 by 2 tables and 2 by k tables
  3. Understand rigorously the biostatistical/epidemiological concepts, precision, accuracy, independence, bias and confounding, in the context of the analysis of tables
  4. Use extremely simple and comprehensive bootstrap estimation methods
Methods of Assessment:

Final Exam or paper

Instructor Consent:

No consent required