This lecture will briefly review the steps involved in data analysis and how study design, hypothesis, and type of data and their distributions contribute to the choice of statistical tests. Statistical tests are used to determine the presence and strength of a relationship between independent and outcome variables. The basic concepts around the use and interpretation of the following statistical tests will be covered: chi-square, paired and two-sample t-tests, ANOVA, correlations, simple and multiple regression, logistic regression, and non-parametric tests.
This class will be taught by Ninet Sinaii, PhD, MPH, NIH Clinical Center’s Biostatistics and Clinical Epidemiology Service.
This meeting will also be available via WebEx.
|Meeting number (access code): 736 785 528|
|Meeting password: 5MppT5b@|
|Friday, October 11, 2019|
|9:00 am | (UTC-05:00) Eastern Time (US & Canada) | 3 hrs|
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|1-650-479-3207 Call-in toll number (US/Canada)|
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The link to the WebEx recording of this lecture is:
Course Material 1: Sinaii-Overview-of-Common-Statistical-Tests-10.11.19-handout.pdf