Notes

Here are some of my class notes and assignments from Oregon State that are mostly for my benefit, although you are feel free to peruse them :)

Comprehensive Exams

Class Reviews

Statistical Methods 1

Statistical Methods 2

Statistical Methods 3

Quantitative Genomics

Bayesian Statistics

Introduction to Bayesian statistics

Normal, Gamma-Poisson, Jeffrey’s Prior

More noninformative priors

Dirichlet-Multinomial

Paul, Nancy, and Bayesian ANOVA

Metropolis-Hastings and Gibbs Samplers

Statistical Genomics

MDS for large genomic data

Optimal rare variant tests in sequencing association studies

CAMERA competitive gene set test

Microbiome analysis in gastropods using metagenomeSeq

Predicting coral bleaching using glmmLasso

Linear Regression

Initial Data Analysis

Algebra Behind Regression

Model Interpretations

More Model Interpretations

Nike Vaporflys and Faraway 5.1

Diagnostics and Plots

Weighted Least Squares and Lack of Fit

Regularized Regression

Experimental Design

PROC GLM and PROC PLAN

Contrasts and PROC MULTTEST

Fit Diagnostics and PROC GLMPOWER

Circuit Delamination Analysis

Neurotransmitter Analysis

Relative Efficiency and Latin Squares

Multivariate Statistics

Eigenvectors and Eigenvalues

Distance Metrics and Correlation Normality Test

Hotelling’s $T^2$

Paired Hotelling’s and Multivariate Regression

PCA and Factor Analysis

CCA, LDA, hclust, k-Means, and MDS

Generalized Regression Models

Boxcox Transforms

Comparing GRM models

Overdispersed Exponential Parameterization

Bradley-Terry Models

Residual Analysis

Ordinal Regression

System Administration