1. Attacking Stataphobia
Curtis Tilves (US), Saeed Yekaninejad (Iran), Setareh Sarachi (Iran), Eman Eltahlawy (Egypt), Tetsuro Hayashi (Japan),
Eugene Shubnikov (Russia), Ron LaPorte (US), Faina Linkov (US)
Curtis Tilves, Epid MS Student
Advisor: Dr. Iva Miljkovic
Project Advisor: Dr. Ron LaPorte
Problem: Low Scientific Productivity in Developing Countries
Solution: Euclid Statistical Matrix and BA Network
Example: Iranian Statistical Matrix
Created networks of
~3000 Iranian
faculty
~1000 Iranian
American students
Team Iran created
Farsi Matrix poster
Information
distributed across
networks
Publishing of health research into international journals from developing countries is incredibly low
Library of Alexandria, Egypt
“The Research Methods Center of the World”
Khan Academy
Brandon Foltz
Statslectures
Hyperlink
Video Length
The Average
Central Tendency: Mean, Median, and Mode
3:47
How to Calculate Mean and Standard Deviation
2:12
Sample vs. Population Mean
Population vs Sample Data
26:47
Arithmetic Mean for Samples and Populations
2:46
Variance
Variance and its Sampling Distribution
27:20
Variance and Standard Deviation of a Population
5:01
Why are Degrees of Freedom (n-1) Used in Variance and Standard Deviation
7:05
Topic
Future Directions
More Languages
Larger distribution networks
Network within country:
Network between countries: Student groups
More Research Methods Topics
ex. Epidemiology, Big Data
Public Health Significance
Reasons for Low Health Research Output
Matrix can increase statistical knowledge and comfort on a global scale and overcome language barriers
Increased statistical know-how can result in greater research being done and higher publication rates in developing countries
Accurate statistics will help to improve global health and aid in policy-making decisions
International collaboration promotes unity in a time of discord
Stataphobia: An abnormal fear of research design and statistics
Few well-trained statistics teachers in developing countries
Students learn in different ways, but taught by one individual
Hard to visualize math
Statistics is scary
Language barriers
Little cross-cultural collaboration across adversarial borders
Matrix Teams from:
Iran
Russia
Egypt
Japan
U.S.
Acknowledgments
A special thank you to our International Matrix teams, the Library of Alexandria, and the Iranian Student Network