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Nemours Biomedical Research Statistics Course
February 2013
Overview
This Introductory Statistical Analysis course is designed to help students implement probability principles into research design and data collection processes, develop skills to organize and manipulate data systematically and efficiently and analyze real-world data using sound statistical techniques. Topics covered include set theory, probability laws and properties, study designs, numeric and graphic data descriptions, hypothesis tests and regression models. SPSS will be used for the purpose of data analysis. Participants are expected to be able to: 1) design practical studies to explore their outcomes of interest,; 2) manage, describe, assess and interpret real-world data; and 3) apply concepts and techniques introduced in the class to the reading of current research literatures.
Course Founder
Course Coordinator
Instructor
Data sets
Schedule - Click on the class 'Date' for notes, Task number for assignment, and Video session for recorded lecture
Week |
Date
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Topics
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Task
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Video / Articles
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1 |
02/06/2013 |
Course Introduction |
n/a |
Session 1 |
2 |
02/13/2013
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Probability probabilities and principles; Study Design |
2 |
Session 2 |
3 |
02/20/2013 |
Descriptive statistics |
3 |
Session 3 |
4 |
02/27/2013 |
Univariate data visualization |
4 |
Session 4 |
5 |
03/06/2013 |
Bivariate data visualization |
5 |
Session 5 |
6 |
03/13/2013 |
Cumulative review and application of analytic techniques from Sessions 1-5 |
n/a |
n/a |
7 |
03/20/2013 |
Hypothesis tests I: 1-sample, 2-sample paired and 2-sample unpaired T tests, Wilcoxon test, Mann Whitney test |
7 |
Session 7 |
8 |
03/27/2013 |
Hypothesis tests II: Chi-square test, Fisher's exact test; Odds and odds ratio |
8 |
Session 8 |
9 |
04/03/2013 |
Cumulative Review and Application of Analytic Techniques from Sessions 1-8; *Statistical Data Analysis Case Study |
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Session 9a
Session 9b |
10 |
04/10/2013 |
Cumulative Review and Application of Analytic Techniques; Statstical Data Analysis Case Study; *Discussion on Analyses from Current Research Literature |
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Session 10 |
* if time allows
Resources
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