Reference Collection to push back against "Common Statistical Myths"

I found some additional resources to push-back on a decision to use change from baseline. I thought some of these would be useful and could be added to the list:

Manuscripts:

Vickers AJ, Altman DG. Analysing controlled trials with baseline and follow up measurements. BMJ 2001; 323: 1123.

Vickers AJ. The use of percentage change from baseline as an outcome in a controlled trial is statistically inefficient: a simulation study. BMC Med Res Methodol. 2001;1:6. doi: 10.1186/1471-2288-1-6. Epub 2001 Jun 28. PMID: 11459516; PMCID: PMC34605. (The use of percentage change from baseline as an outcome in a controlled trial is statistically inefficient: a simulation study - PubMed)

Bland JM, Altman DG. Comparisons against baseline within randomised groups are often used and can be highly misleading. Trials. 2011 Dec 22;12:264. doi: 10.1186/1745-6215-12-264. PMID: 22192231; PMCID: PMC3286439. (Comparisons against baseline within randomised groups are often used and can be highly misleading - PubMed)

Bland JM, Altman DG. Best (but oft forgotten) practices: testing for treatment effects in randomized trials by separate analyses of changes from baseline in each group is a misleading approach. Am J Clin Nutr. 2015 Nov;102(5):991-4. doi: 10.3945/ajcn.115.119768. Epub 2015 Sep 9. PMID: 26354536. (Best (but oft forgotten) practices: testing for treatment effects in randomized trials by separate analyses of changes from baseline in each group is a misleading approach - PubMed)

An interesting response to the paper above:

Stanhope KL, Havel PJ. Response to “Best (but oft forgotten) practices: testing for treatment effects in randomized trials by separate analyses of changes from baseline in each group is a misleading approach”. Am J Clin Nutr. 2016 Feb;103(2):589. doi: 10.3945/ajcn.115.125989. PMID: 26834111. (Response to "Best (but oft forgotten) practices: testing for treatment effects in randomized trials by separate analyses of changes from baseline in each group is a misleading approach" - PubMed)

Leo Törnqvist, Pentti Vartia & Yrjö O. Vartia (1985) How Should Relative Changes be Measured?, The American Statistician, 39:1, 43-46, DOI: 10.1080/00031305.1985.10479385
(https://www.tandfonline.com/doi/abs/10.1080/00031305.1985.10479385)

Kaiser L. Adjusting for baseline: change or percentage change? Stat Med. 1989 Oct;8(10):1183-90. doi: 10.1002/sim.4780081002. PMID: 2682909. (Adjusting for baseline: change or percentage change? - PubMed)

Blogs/ Online Resources:

Magnusson K. Change over time is not “treatment response”. Rpsychologist blog 2018. https://rpsychologist.com/treatment-response-subgroup

Harrell F. Statistical Errors in the Medical Literature: Change from Baseline. Statistical Thinking 2021 (last updated). (Statistical Errors in the Medical Literature – Statistical Thinking)

Interactive Simulation by Frank Harrell:

Harrell F. Transformations, Measuring Change, and Regression to the Mean. BBR Ch 14. (https://hbiostat.org/bbr/md/change.html)

Great Discussion on QOL Analysis and Change from Baseline:

davidcnorrismd. Exemplary QOL analyses that avoid change-from-baseline blunders? Data methods 2019. (Exemplary QOL analyses that avoid change-from-baseline blunders?)

Twitter Post by Stephen Senn on change from baseline:

(https://twitter.com/stephensenn/status/1224362916423573504)

Text Books:

Harrell F, Slaughter J. Change from Baseline in Randomized Studies. Biostatistics for Biomedical Research. Chapter 14.4.1. (https://hbiostat.org/doc/bbr.pdf)

Senn S. Baselines and Covariate Information. Statistical Issues in Drug Development. Chapter 7.

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