Data science thinking - Related work

Core publications

Good Data Science Practice: Moving Toward a Code of Practice for Drug Development. Mark Baillie, Conor Moloney, Carsten Philipp Mueller, Jonas Dorn, Janice Branson & David Ohlssen. (2023). Statistics in Biopharmaceutical Research. https://doi.org/10.1080/19466315.2022.2063172
The Role of Statistical Thinking in Biopharmaceutical Research. Frank Bretz & Joel B. Greenhouse. (2023). Statistics in Biopharmaceutical Research 15:3, pages 458-467. https://doi.org/10.1080/19466315.2023.2224259
Effective Visual Communication for the Quantitative Scientist. Marc Vandemeulebroecke, Mark Baillie, Alison Margolskee, Baldur Magnusson. CPT Pharmacometrics Syst. Pharmacol., 8: 705-719. https://doi.org/10.1002/psp4.12455

Effective visual communication

The home page for effective visual communication and good graphical principles for quantitative scientists can be found here.

Related works

References and further reading material used to support the workshop.

Cox (2017) Statistical Science: A Grammar for Research. European Journal of Epidemiology 32: 465–71.
Cummings et al. (2007) Conceiving The Research Question In: Hulley et al (editors) Designing clinical research.
International Council for Harmonisation (2019) ICH E9(R1): Estimands and sensitivity analysis in clinical trials.
Richardson et al. (1995). The well-built clinical question: A key to evidence-based decisions. ACP Journal Club, 123, A12-13.
Vance et al. (2022) Asking great questions. Stat, 11(1), p.e471.
Bouchrika (2023). How to write a research question: Types, steps, and examples.
Haynes (2006) Forming research questions. Journal of Clinical Epidemiology 59: 881–86.
Mallows (1998) The Zeroth Problem. The American Statistician 52: 1–9.
Hernán, M.A., Hsu, J. and Healy, B., 2019. A second chance to get causal inference right: a classification of data science tasks. Chance, 32(1), pp.42-49
Kenett, R.S. and Redman, T.C., 2019. The real work of data science: turning data into information, better decisions, and stronger organizations. John Wiley & Sons.
Shmueli, Galit. “To explain or to predict?.” (2010): 289-310.
Wild, Chris J, and Maxine Pfannkuch, 1999. “Statistical Thinking in Empirical Enquiry.” International Statistical Review 67 (3): 223–48.
MacKay, R Jock, and R Wayne Oldford, 2000. “Scientific Method, Statistical Method and the Speed of Light.” Statistical Science, 254–78.
Hernán MA, Robins JM. Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. Am J Epidemiol. 2016 Apr 15;183(8):758-64. doi: 10.1093/aje/kwv254. Epub 2016 Mar 18. PMID: 26994063; PMCID: PMC4832051.