Statistical Evidence in Experimental Science (SS 2021)

Richard M. Royall, "Statistical Evidence. A likelihood paradigm." (Chapman & Hall/CRC, 1997).
Alex Reinhart, "Statistics Done Wrong" (No Starch Press, 2015).
Stuart Ritchie, "Science Fictions" (Metropolitan Books, 2020).
Stephen K. Campbell, "Flaws and Fallacies in Statistical Thinking" (Dover Books on Mathematics, 2002).
C. T. Bergstrom & J. D. West, "Calling Bullshit" (Penguin Books, 2020).
J. Pearl, "The Book of Why" (Penguin Books, 2019).
J. Pearl, M. Glymour, N. P. Jewell, "Causal Inference in Statistics" (Wiley, 2016).
Darrell Huff, "How to Lie with Statistics" (W. W. Norton & Co., 1993).
A. Cairo, "How Charts Lie: Getting Smarter about Visual Information" (W. W. Norton & Co., 2020).
B. Goldacre, "I Think You'll Find It's a Bit More Complicated" (Fourth Estate Ltd., 2015).
G. Cowan, "Statistical Data Analysis" (Oxford, 1998)
M. Bonamente, "Statistics and Analysis of Scientific Data", 2nd edition (Springer, 2017)
G. Zech, "Frequentist and Bayesian confidence intervals", EPJ direct 4, 1-81 (2002), also available as arXiv:hep-ex/0106023
G. Bohm & G. Zech, "Statistische Datenanalyse für Physiker" (Springer Spektrum, 2020)

TED talks by Ben Goldacre:
https://www.ted.com/talks/ben_goldacre_what_doctors_don_t_know_about_the_drugs_they_prescribe
https://www.ted.com/talks/ben_goldacre_battling_bad_science
https://www.c-span.org/video/?311149-1/bad-pharma