6:10
What are some good ways to learn R?
Brian Caffo
9:01
Week 2 Biological Significance Versus Statistical Significance
7:46
Week 3 Data Scientist Versus Statistician
8:20
Week 4, A rambling rant about Bayes versus frequentist statistics
7:21
Ask Brian Week 5: ggplot2 versus base R graphics
6:51
Week 6, IID assumptions demystified, sort of
13:14
Week 7 R versus Excel
10:44
Week 8, should I get a PhD, if so in what?
10:52
Week 9 Machine Learning versus classical statistics
8:17
Week 11, question olio
9:04
Week 10 What's too big? Also, excuses for no video last week
7:25
Week 12 what is Chi-Squared testing / Filtering
8:58
Week 13, robust variance estimation
5:56
week 16 will data science eventually take over the field of statistics?
7:35
Week 14, professors and startups
4:45
week 15 what mathematics should I know to apply to a stats/biostats PhD program?
6:32
Week 17, Mediation versus Moderation
6:20
Week 18 the future of MOOCs
7:13
Week 19 INCEPTION (or how I make videos)
14:33
Week 20 Setting Up an Rstudio Server on Digital Ocean or EC2
10:58
Week 22 What are the steps of a data science experiment
6:23
Week 21 Is regression an ML technique?
4:54
What should I use to serve R applications over the internet? (episode 23)
9:25
What is a P-Value? (episode 24)
9:51
Brief discussion of Benjamin et al. (episode 25)
8:06
Clearing the docket (episode 26)
8:55
What is GEE (Episode 27)
6:56
Which regression
10:26
What R IDE should I use
6:31
Post model selection inference
7:15
R versus Python, sort of, not really
5:12
Should I rescale my regression variables?
7:49
What do people mean when they say a statistic is "Robust to normality"?
5:27
How to embed a shiny app
10:36
Clearing the docket
7:24
What math prereqs do I need for biostat grad school; how long will it take me to get them
9:54
What does a standard deviation of an image mean?
16:46
Setting up keras, rstudio server and shiny
4:41
How can I get started in Bayesian data analysis?
7:20
Will AI eat statistics?
The geometric mean and logging data
Why are P-values uniformly distributed under H0?
7:45
Bayesianism versus Frequentism rediscussed via statistical pragmatism
14:38
On applying to and accepting offers from PhD/Master's programs
21:23
Deep learning in public health and personalized medicine
11:07
Getting gigantum running on a digital ocean server
