GLM

Generalized linear models

University of Cambridge  GLM course
http://www.statslab.cam.ac.uk/~pat/

http://www.statslab.cam.ac.uk/~pat/All.pdf  (covers material in Chapter 3 in depth)

Princeton lecture notes on GLM's
http://data.princeton.edu/wws509/notes
http://data.princeton.edu/wws509/notes/a2.pdf (Chapter 3 in brief)

University of Vienna GLM course
http://statmath.wu.ac.at/courses/heather_turner/ (with R code examples)

How are the likelihood ratio, Wald, and Lagrange multiplier (score) tests different and/or similar?

http://www.ats.ucla.edu/stat/mult_pkg/faq/general/nested_tests.htm

on binomial and quasibinomial
http://stats.stackexchange.com/questions/91724/what-is-quasi-binomial-distribution-in-the-context-of-glm

Lecture videos of the university of Sheffield.

https://www.youtube.com/playlist?list=PLPmy3Mr9LPPtQF-LeU_0hrhhrpBJ-wKmI

Mixed Linear Models

http://rpsychologist.com/r-guide-longitudinal-lme-lmer

Mixed effect modelling with R book by Bates

http://lme4.r-forge.r-project.org/book/

http://lme4.r-forge.r-project.org/

Stronger together

https://www.youtube.com/watch?v=w-iuPeMdprQ

Fingers crossed.

Go links

https://github.com/ardanlabs/gotraining

Todd — Instructor · 2 months ago  Answer 

https://goo.gl/PHKgO7

PRESENTATIONS

https://goo.gl/Tbz6Xf

GITHUB CODE

https://goo.gl/KbUroF

COURSE OUTLINE

https://goo.gl/qwoSft

Mark as helpful

Math and Stats Videos

Quadratic forms

https://www.youtube.com/watch?v=LGTInfHChzA

Linear Algebra
https://www.youtube.com/playlist?list=PLflMyS1QOtxwiN5oOuyY4W_8fZlTTnRcF

Analysis of discrete data
https://www.youtube.com/playlist?list=PLflMyS1QOtxy_mfqNWpH6hWc7lqgSfKZM

Brian Caffo Playlists

https://www.youtube.com/user/bcaffo/playlists

In-depth introduction to machine learning in 15 hours of expert videos

http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/

1) Functions (see in particular videos 5 and 6 on binomial expansions and 9 and 10 on exponentials and logarithms)
https://www.youtube.com/watch?v=71CUgRQIZBk&list=PLqvhP6807i-24xFjmato7ifntuu1G8-ym

2) Differentiation (also includes some material on series: see video 13.0 for arithmetic and geometric series)
https://www.youtube.com/watch?v=Yl-Mi00i8SI&list=PLqvhP6807i-1OJUwEcAtkXwFbvhlczhHd

3) Complex numbers
https://www.youtube.com/watch?v=mWrUbcrGlPs&list=PLqvhP6807i-2wtG-7l-FDEsi5eVWuMtUY

4) Vectors
https://www.youtube.com/watch?v=wbCxkf3jJ3w&list=PLqvhP6807i-0zX27olqR5MyY4uBhNkYZj

5) Integration (includes material on useful algebraic manipulation topics such as partial fractions and completing the square)
https://www.youtube.com/watch?v=elFqHzOAlzs&list=PLqvhP6807i-0nC5hcCqteLVuVOLPw6f-a

6) Matrices (includes an introduction, and sections on matrix multiplication, determinants, inverses, systems of linear equations and eigenvalues and eigenvectors)
https://www.youtube.com/watch?v=RQGD9S2C2tE&list=PLqvhP6807i-2cb7PeI1QQkHHfU-BnzZrQ

21st-centurys-100-greatest-films

21st century's 100 greatest films
http://www.bbc.com/culture/story/20160819-the-21st-centurys-100-greatest-films

greatest-comedies-of-all-time
http://www.bbc.com/culture/story/20170821-the-100-greatest-comedies-of-all-time

Best 10 movies of 2016
http://www.bbc.com/culture/story/20161215-the-10-best-films-of-2016

slow cooker recipes
http://www.bbcgoodfood.com/howto/guide/family-slow-cooker-recipes-0

shiny

Changing UI.
http://shiny.rstudio.com/articles/dynamic-ui.html

Having a run button.
http://shiny.rstudio.com/articles/action-buttons.html

Since R is single threaded the UI will block for longer running jobs:

But there is async progress bar:

http://shiny.rstudio.com/articles/progress.html

Analyzing short time series

better than pca : http://bioconductor.org/packages/release/bioc/html/made4.html
pvals  for clusters : https://cran.r-project.org/web/packages/pvclust/index.html
icc : https://cran.r-project.org/web/packages/ICC/index.html


Comparison of short time series:
https://bioconductor.org/packages/release/bioc/html/maSigPro.html


OPLS
https://www.r-bloggers.com/evaluation-of-orthogonal-signal-correction-for-pls-modeling-osc-pls-and-opls/


STEM short ts expression miner
http://www.sb.cs.cmu.edu/stem/

Software for the analysis of time-series gene expression data

http://www.nature.com/nrg/journal/v13/n8/fig_tab/nrg3244_T1.html