Collaborative Data Science for Healthcare (Fall 2020) (M-I-T)

Handling Missing Data: Weighting-Case Analysis (M-I-T)

Patients (cohort/sample) (M-I-T)

Trees: How to build decision trees (M-I-T)

Integrating EDA into Confirmatory Analysis (M-I-T)

Trees: Medical Data (M-I-T)

PICO Framework (M-I-T)

Trees: Prediction vs. Interpretation (M-I-T)

PICO Summary (M-I-T)

Trees: Summary (M-I-T)

Randomized Controlled Trials (M-I-T)

Tutorial on Regression Models (M-I-T)

Real-world Data (M-I-T)

Types of observational studies (M-I-T)

Reasons for Concern (M-I-T)

Utilizing Healthcare Data (M-I-T)

Relational Databases (M-I-T)

Valid Ranges of Features (M-I-T)

Reproducibility Crisis (M-I-T)

What is Data Analysis? (M-I-T)

What Is Exploratory Data Analysis? (M-I-T)

What Is Hypothesis Testing (M-I-T)

Workshop (Optional) (M-I-T)

 Causal Inference  Overview (M-I-T)