AI Academy

Summary Statistics in Public Health

Instructor: John McGready, PhD, MS Duration: 2 weeks at 10 hours a week
Objective 1 Calculate continuous data measures
Objective 2 Interpret data visualizations
Objective 3 Analyze binary data
Objective 4 Analyze time to event data
Sample Size Determination
Public Health
Statistical Methods
Descriptive Statistics
Clinical Trials
Statistical Visualization
Probability Distribution
Quantitative Research
Medical Science and Research
Statistical Analysis
Epidemiology
Biostatistics
Data Literacy

Hypothesis Testing in Public Health

Instructor: John McGready, PhD, MS Duration: Approx. 19 hours
Objective 1 Use statistical methods to analyze sampling distribution
Objective 2 Estimate and interpret 95% confidence intervals for single samples
Objective 3 Estimate and interpret 95% confidence intervals for two populations
Objective 4 Estimate and interpret p values for hypothesis testing
Medical Science and Research
Public Health
Sampling (Statistics)
Biostatistics
Statistical Hypothesis Testing
Quantitative Research
Statistical Analysis
Statistical Inference
Probability & Statistics
Scientific Methods

Simple Regression Analysis in Public Health

Instructor: John McGready, PhD, MS Duration: 1 week to complete at 10 hours a week
Objective 1 Practice simple regression methods to determine relationships between an outcome and a predictor
Objective 2 Recognize confounding in statistical analysis
Objective 3 Perform estimate adjustments
Data analysis
Quantitative Research
Statistical Inference
Probability & Statistics
Statistical Analysis
Epidemiology
Biostatistics
Statistical Methods
Regression Analysis
Public Health

Multiple Regression Analysis in Public Health

Instructor: John McGready, PhD, MS Duration: 1 week to complete at 10 hours a week
Objective 1 Practice multiple regression methods to determine relationships between an outcome and multiple predictors
Objective 2 Use the Spline approach for non-linear relationships with continuous predictors
Objective 3 Perform calculations with multiple predictor variables
Data analysis
Predictive Modeling
Statistical Methods
Regression Analysis
Statistical Analysis
Public Health
Biostatistics
Advanced Analytics
Statistical Modeling
Probability & Statistics
Statistical Inference