CSCAR workshop materials

Python notebooks by topic:

Linear regression

Multiple testing and False Discovery Rates

Predictive modeling

Dotplots (forest plots)

Principal Component Analysis

Regularized model fitting

Generalized Linear Models

Scatterplot smoothing (lowess)

Survival analysis

Covariance matrix estimation

Linear Mixed Models

Generalized Estimating Equations (GEE)

Missing data (MICE multiple imputation)

Data management with Pandas

Graphics and data visualization with Matplotlib and Bokeh

Pandas case studies (CMS data analyses):

Survival analysis with Statsmodels