Projects’ Outline

ReadMe first

RPubs/Haibiostat is one of my portfolio

• My portfolio’s goal is to reproduce, modify, and adapt to the lectures or some related work as a role of a research assistant.
  
• All datasets used were public data, and we can easily find them throughout the Google search.
  
• My Rpubs portfolio connects with my Github firstly used for my fast reference. The other users feel free to use and refer them with their own risk.

Bayesian Methods

• Tool kit for Bayesian Methods:

  • Distributions
    
  • Probability of Distribution in R
    
  • Beta distribution in an intuitive explanation
    
  • Gamma distribution in an intuitive explanation
    
  • Stories connect to distribution: “Made to Stick”

• Bayesian’s Method 1: Introduction to Bayesian Theorem/Bayesian vs. Frequentist

• Bayesian’s Method 2: Fundamentals of Bayes’ Theorem

• Bayesian’s Method 3: Conjugate Distributions & Exchangeability Assumption in Hierarchical Models

• Bayesian’s Method 4:

  • MCMC: Theory - Demonstration - JAGS
    
  • Creating modelString in JAGS/Stan process: a tool to draw diagrams

• Bayesian’s Method 5: Model Comparison

  • Part 1: Introducing STAN
  • Part 2: Bayes Factors

• Bayesian’s Method 6: Robust estimation and compare 2 groups

  • Part 1
    
  • Part 2

• Bayesian’s Method 7: Linear Regression and Concept of Learning

  • Part 1: Comparison of the groups
    
  • Part 2: Simple Linear Regression
    
  • Part 3: Bayesian Concept Learning
    
  • Converting Standardized Beta Coefficient Estimates to Raw Data Scale

• Bayesian’s Method 8: Linear Regression (cont.)

  • Part 1: Fitting Linear Models_Multiple Regression
    
  • Part 2: Variable Selection
    
  • Part 3: Dirichlet Distribution
    
  • modelString specification in stan: interesting and inconvenient things

• Bayesian’s Method 9: ANOVA and Generalized Linear Model

  • Part 1: ANOVA and ANCOVA: view between FNP and Bayesian approach
    
  • ANOVA in Bayes

• Bayesian’s Method 10: Generalized Linear Model (cont.)

• Bayesian’s Method in Longitudinal Setting

• Revisit the topic in an article: how Bayesian approach works

• Can Bayesian method be considered as a remedial measure in building the regression model?

Matching

• Basic Tools of Multivariate Matching

• Matching Show Case in R

• Various Practical Issues in Matching

• After Matching, Before Analysis — Planning the Analysis

Longitudinal Data Analysis

• Adjustment for Baseline Response in Longitudinal Analysis

• When fitting the random-intercept vs. random slope mixed-effect regression model

Machine Learning

• Factor Analysis applied in Multiple Linear Regression Context using R

• Classifying with Trees – Decision Trees

• Probabilistic Model Selection with AIC, BIC

• Applying GAMLSS to find the optimized splines to build a “New” QT correction

• Centile Estimation using GAMLSS

Probabilistic Graphical Models

• Probability of Distribution in R

• Factors

• Bayesian Network: Fundamentals

• Template Models for Bayesian Networks

• Distributions

Text Mining

• Regular Expressions applying in the Text Mining

• stringi vs. stringr

Data Wrangling

• The Evolution of Reshaping Data

• Loop Functions

• Functions inside a function

Learning C++

To demonstrate the programming in R parallels with C++ via Rcpp

Latent Variable Analysis and Latent Profile Analysis

Be incorporated with Factor Analysis and Structural Equation Models

Design of Clinical Studies

• Three Phases in Clinical Trials

Power analysis

• Power of Tests in Simple Linear Regression

• Power Analyses for Interaction

Miscellaneous

• Introduction to Bootstrap and Some Examples

• Gentle Introduction to Shiny