STA 2101H: Methods of Applied Statistics I Fall 2020
Thursday September 10 to Thursday December 3
12pm -- 3 pm Eastern
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Office Hours
Monday 4.00-5.30pm, 7.00-8.00pm; Wednesday 9-10.30am EDT (BBCollaborate Course Room)Comments on Final Homework
Final Homework
- Questions (pdf)
- Questions (Rmd)
- Paper by Podkul et al. for Q4 (pdf)
- Web page version of Paper by Podkul et al.
Week 12 December 3
- Slides (updated Dec 3 14.25)
- R script for nuclear plant data
- Excerpt from Applied Statistics by Cox and Snell
- Week 12 Recording (Library)
Week 11 November 26
- Slides (updated Nov 26 15.00)
- R Script illustrating various smoothing methods. (Pretty kludgy)
- R Markdown file illustrating GAM (cribbed from ISLR, Ch. 7)
- html generated by above
- iPad Slides (full of scribbles)
- Week 11 Recording (Library)
Homework 3 due Dec 3
- Questions (pdf)
- R Markdown
- Paper by Jager and Leek for Q4
Week 10 November 19
- Lineup protocol example; please complete! You can alternatively complete it on a google form here
- Recording
- Slides (latest version posted Nov 19 15:04)
- R script for non-parametric regression
- Notes on generalized linear models
- Vaccine post on Gelman's blog
- The same blog has a lot about election predictions as well.
- Economist forecast model explained
- Nate Silver weighs in at 538.com
Week 9 November 5
- Slides
- Annotated Slides
- R code
- Output(html)
- Recording (Library)
Week 8 October 29
- Slides
- Slides with my markup from class
- Handout on case-control studies
- R code re overdispersion
- R code re Poisson
- Recording (Library)
Homework 2 due November 5
- Solutions
- R Markdown for solutions
- Questions
- R Markdown for questions
- Perez-Guzman et al Paper and Supplementary Material for Q4.
- Roozenbeek et al Paper on susceptibility to covid misinformation and Supplementary information , for Q5.
- R script downloaded from Authors repository
- Data from Roozenbeek et al.; downloaded from Authors repository
Week 7 October 22
- Slides
- R Script for Example 10.18 (SM)
- Financial Times data visualizations
- NY Times Natural Experiment
- PNAS Widespread use-and misuse-of real-world data
- Recording Part 1 (Library)
- Recording Part 2 (Library)
October 18
- Syllabus Update 3 to reflect change re HW2
Week 6 October 15
- Link to Knowable Magazine article on election polls
- Note about contrasts in analysis of variance (html) and R Markdown file
- Slides (posted Oct 14; tweaked Oct 15 11.32 am)
- Messer et al 2010 from Cox and Donnelly Ch.5.2
- Recording Part 1 (Library)
- Recording Part 2 (Library)
- Challenger data
- Official Report on Challenger, data on p. 129-131
- Dalal et al. (1986) JASA paper on data analysis
- Tufte's Book Visual Explanations has a discussion of Powerpoint and the Challenger; contrary view is given here
- my R script for analysis
- Violin plots are discussed in Wilke's Fundamentals of Data Viz Ch.9
Week 5 October 8
- HW 1 solutions thanks to Sangook Kim
- R Markown for HW 1 solutions, ditto thanks to SK
- Slides
- Recording (Library)
- R Markown for randomized block example from FLM
- html for randomized block example from FLM
- Updated syllabus 2
- Significance article about grades in UK
Week 4 October 1
(typo corrected on slide 10 on Oct 14, thanks Chenghui)- Slides
- Prostate R script
- Recording (Library)
- R code for fruitfly data
- Fruitfly html
- Original publication
September 28
- Updated syllabus
- Slides from Weeks 2,3 have been updated to include 1st edition of Faraway's Linear Models with R
Week 3 September 24
- Slides
- Recording (Library)
- Figure 6.9 from the 2nd edition of FLM
September 22
- Homework 1, due October 1.
- R Markdown document that created it.
- Html version if you prefer.
- Sep 22 slide deck from Public Health Canada
September 21
- Short note on least squares equations and matrix algebra.
Week 2 September 17
- Recording of 3rd hour (Library). (First two hours recorded under Blackboard Collaborate)
- Slides (typos corrected after class)
- Wildfire attribution article by Kirchmeier-Young et al introduced in Week 1 (see JMM talk)
- Supplementary material for above
- Moon-shot testing for Covid
- My calculations
- R Markown file for my calculations
September 11
Article in the Globe and Mail this morning about the "relatively new field known as event attribution science". You read it here first :) Here are screen shots of the article (best I could do).Week 1 September 10
- Slides (edited Sep 10 3.30 pm) (Recording in BBCollaborate)
- JMM talk
- SSC Case Study Competition details
- Piazza information sheet for Quercus
- R Markdown example that fits a polynomial
- Output from one run