This repository provides some coursework and projects for STA442/2101: Methods of Applied Statistics I in Fall 2019.
Please note STA442/2101 this year is very different from previous year. It is more similar to the previous STA2201: Methods of Applied Statistics II. Please do learn from this repository and pay attention to the academic integrity.
More info is available at Professor's website(Hopefully it will always kept): http://pbrown.ca/teaching/appliedstats
I hope this will help people who learn this course at UofT or anyone who is interested in advanced statistical model (GLMM, Bayesian model, Time series or Survival analysis).
Frequentist inference with Generalized Linear Models
- Models and inference
- Applications and interpretation
Applied statistics in practice
- Scientific writing
- Reproducible research
- Linear mixed models and longitudinal data
Mixed models, maximum likelihood estimation and REML
- Applications and interpretation
- Correlation in time
- Random coefficient models
- Generalized Linear Mixed Models and Bayesian inference
Bayesian inference and INLA
- Random effects models for non-Gaussian data
- Applications and interpretation
- Advanced INLA
Smoothing and semi-parametric models
- Penalised likelihood and spline smoothing
- Random walks and Bayesian semi-parametric
Survival analysis
- Parametric event time distributions
- Censored data
- Hierarchical models for survival data
For more specific requirements for each assignment, refer to the assignment requirement PDF file within each assignment.
GLM with gamma distribution; Logistic regression
Mixed models with Bayesian inference using INLA
Semi-parametric modelling and Time series with Bayesian inference using INLA
Survival analysis with Bayesian inference using INLA; Conditional logistic regression