AABIP INTRODUCTION TO BIOSTATISTICS COURSE
The AABIP would like to invite you to register for our online INTRODUCTION TO BIOSTATISTICS COURSE.
DESCRIPTION – At the end of this course, participants will:
- Gain an understanding of basic principles and methods of biostatistics
- Learn how to apply these principles and methods to answer relevant research questions
- Develop the ability to critically analyze medical literature
- Develop an understanding of Stata statistical software package
Enrollment is free for AABIP members.
COURSE DATES
Online sessions will be held November 22, 2021 to March 28, 2022
OBJECTIVES
- After the successful completion of this course, participants will understand and be able to implement the fundamental principles and methods of health research such as:
- Critically evaluate medical literature by describing the basic principles of quantitative methods, including disease (outcome) measures, measures of association, study design options, bias, confounding, and effect modification
- Describe the use of descriptive statistics, probability distributions, and sampling
- Understand concepts of event outcomes, mutual exclusivity, and independence
- Conduct hypothesis testing, construct and describe confidence intervals based on study outcomes and explanatory factorsÂ
- Apply and interpret methods for the analysis of tabular and discrete data (contingency tables)
- Apply and interpret methods for correlation and regression analyses (linear regression and logistic regression)
- Apply and interpret methods for survival analysis (K-M curve, Log-rank and Cox regression analysis)Â
- Conduct a peer review of a journal article
FACULTY
Horiana B. Grosu, MD, MPH (Course Director)
Assistant Professor
University of Texas, MD Anderson Cancer Center
Houston, Texas
Samira Shojaee, MD, MPH
Associate Professor
Virginia Commonwealth University
Richmond, Virginia
David Ost, MD, MPH
Professor, University of Texas, MD Anderson Cancer Center
Houston, TexasÂ
Course Format
-
- This is an online course with 10 topics spanning approximately 5 months.
- Video modules covering each topic will be made available for online viewing.
- Short assignments with feedback will be incorporated into the course structure.
- Videos can be viewed on a participant’s schedule, but homework assignments are due at specific times
- Homework answers and explanations will be posted after the assigned date
| Lecture | Faculty | Topic | Stata |
|---|---|---|---|
| 1 | Horiana Grosu | Introduction to epidemiology, main ideas | Introduction to STATA |
| 2 | Horiana Grosu | Introduction to data description | Variables and creating variables in STATA |
| 3 | Horiana Grosu | Basics of probability | Importing data and graphs |
| 4 | Horiana Grosu | Hypothesis testing and ttest | ttest in STATA |
| 5 | Horiana Grosu | Analysis of proportions, chi2 and Fischer exact test | Chi2 and Fischer exact test in STATA |
| 6 | Samira Shojaee | Simple and Multiple linear regression | Simple and Multiple linear regression in STATA |
| 7 | Samira Shojaee | Simple and multiple logistic regression | Simple and multiple logistic regression in STATA |
| 8 | Horiana Grosu | Survival analysis | K-M curve in STATA Log Rank test |
| 9 | Horiana Grosu | Cox regression | Cox regression in STATA |
| 10 | David Ost | Peer review an article |
ENROLLMENT DETAILS:
Please enroll using the following link:Â Â
Enrollment is free for AABIP members.
Contact theaabiporg@gmail.com with any questions.