The NIH Library is pleased to offer two new R programming language classes, presented by the Clinical Center’s Biostatistics and Clinical Epidemiology Service (CC/BCES). Each class is a two-hour online lecture intended for those doing basic data analysis using R. Basic R programming is a pre-requisite for these courses, as is knowledge of basic statistical concepts, such as, mean and p-value from statistical hypothesis testing. Please note additional pre-class requirements on the registration pages. Learn more and register through the links below:
Statistical Methods for Continuous Data Analysis Using R | June 20, 11:00 am‒1:00 pm
Learning objectives:
- Calculating and displaying descriptive statistics, such as center and spread of distribution and boxplots
- Recognizing common continuous probability density functions
- Estimating mean and confidence intervals for the center of normally and non-normally distributed data
- Hypothesis testing
- Linear regression
- F-distribution and one-way ANOVA
Statistical Methods for Binary Data Analysis Using R | August 8, 11:00 am‒1:00 pm
Learning objectives:
- Calculating and displaying descriptive statistics, such as rates, proportions, and barplots
- Recognizing the binomial probability density function as distinct from the normal density function
- Estimating proportion and confidence intervals
- Hypothesis testing
- Logistic regression and checking model assumptions
- Model diagnostics checking and results interpretation
Be sure to check out and sign up for additional Data Classes offered by the NIH Library this summer.
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