Media links for Biostats Course VHM 801 at AVC - Fall Semester 2018

This page provides links to media files and webpages used in the course. A vast selection of video clips on statistical topics is available at YouTube.

Scott Stephens supporting website (www.StevensStats.com)

• Video lectures for each chapter, including Your Turn problems
• Minitab (and other software) demonstrations

Statistics links (specific topics)

• Example of serious misuse of probability/statistics: Sudden infant death syndrome (SIDS):
  • Public letter from The Royal Statistical Society on SIDS convictions
  • TED talk by Peter Donelly on statistics and probability calculations, with particular focus on its use as juridical evidence
• Current stand of discussion about P-values (and other statistical concepts)
  • Press release from the ASA (American Statistical Association) on statistical significance and P-values
  • The ASA's statement on p-values: context, process, and purpose, The American Statistician 70, 129-133 (UPEI Access).
  • Recent articles in Nature: Baker (2016), Nature 531; Leek & Peng (2015), Nature 520 (in particular, the figure).
  • Recommended: recent review paper on misinterpretations : Greenland et al. (2016), European Journal of Epidemiology 31, 337-350.
• Flowcharts for statistical analysis (many of these exist):
  • Comprehensive chart for SAS, Stata, SPSS, and R (Institute for Digital Research and Software, UCLA)
  • Simple, for quantitative outcomes only (author: Paul Marr)
  • table from PSLS 3e (Moodle access),
  • simple table used in course,
  • simple diagram for post-ANOVA analysis,
• Sample size and power calculations:
  Video: How not to collaborate with a biostatistician (author: josiesjavamama, previously at www.extranormal.com)
• Instructional videos by Keith Bower (from YouTube, downloadable from iTunes):
  • What are confidence intervals?
  • What is a P-value?
  • 95% confidence interval for one mean: worked example
  • 95% CI for one mean using Minitab
  • Student's t-test
  • 1-sample t-test: worked example
  • 1-sample t-test using Minitab
  • 2-sample t-test: worked example
  • 2-sample t-test using Minitab
  • 95% confidence interval for one proportion: worked example (using normal approximation)
  • 95% CI for one proportion using Minitab (using normal approximation)
• Journal articles:
  • "Simple tools for understanding risks: from innumeracy to insight" (British Medical Journal, 2003:327, 741-744).
  • "The probable error of a mean" (Biometrika, 1908:6, 1-25).
  • "Adaptive aerial righting during the escape dropping of wingless pea aphids" (Current Biology, 2013:23, R202-R203).
  • "Misuse of multiple comparison tests and underuse of contrast procedures in aquaculture publications", Aquaculture 437, 344-350 (UPEI Access).
  • "Comparative study of doramectin and fipronil in the treatment of equine chorioptic mange" (Veterinary Record, 2007:161, 335-338).
  • "Smoking. The Cancer Controversy: Some attempts to assess the evidence" (Ronald A. Fisher)
• Nonparametric methods:
  IPS Chapter 15 (see Exercise 15.47 for multiple comparisons after Kruskal-Wallis test),

Images

• Normal wordgrams constructed by Fikret Er, Anadolu University, Turkey (idea attributed to Youden (1962) and Graham (1990)): classical, modern,
• Matthew Freedman (2006), A visual comparison of normal and paranormal distributions, J Epidemiol Community Health. 60: 6.

Stats and probability humour

• It is 1941 and the Germans are bombing Moscow. Most people in Moscow flee to the underground bomb shelters at night, except for a famous Russian statistician who tells a friend that he is going to sleep in his own bed, saying that "There is only one of me, among five million other people in Moscow. What are the chances I'll get hit?"
  He survives the first night, but the next evening he shows up at the shelter. His friend asks why he has changed his mind. "Well," says the statistician, "there are five million people in this city, and one elephant in the Moscow Zoo. Last night, THEY GOT THE ELEPHANT!" (source)

• A famous statistician would never travel by airplane, because he had studied air travel and estimated that the probability of there being a bomb on any given flight was one in a million, and he was not prepared to accept these odds.
  One day, a colleague met him at a conference far from home. "How did you get here, by train?"
  "No, I flew"
  "What about the possibility of a bomb?"
  "Well, I began thinking that if the odds of one bomb are 1:million, then the odds of two bombs are (1/1,000,000) x (1/1,000,000). This is a very, very small probability, which I can accept. So now I bring my own bomb along!" (Internet source no longer accessible)

• Did you know that the great majority of people have more than the average number of legs?
  It's obvious, really: Among the 57 million people in Britain, there are probably 5,000 people who have only one leg. Therefore, the average number of legs is:
  
  And because most people have two legs... (Internet source no longer accessible)