Tutorials for generalizability assessment


Tutorials are listed here:

1. GIST 2.0 / Interactive tutorial for GIST 2.0  (Sen A, Chakrabarti S, Goldstein A, Wang S, Ryan PB, Weng C. GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies. Journal of biomedical informatics. 2016 Oct 1;63:325-36. PMID: 27600470)

2. Comparing populations in clinical studies (Example publication: de C Williams AC, Nicholas MK, Richardson PH, Pither CE, Fernandes J. Generalizing from a controlled trial: the effects of patient preference versus randomization on the outcome of inpatient versus outpatient chronic pain management. Pain. 1999 Oct 1;83(1):57-65. PMID: 10506672)

3. Standardized mean difference (SSMD) of propensity scores (Example publication: Susukida R, Crum RM, Stuart EA, Mojtabai R. Generalizability of the findings from a randomized controlled trial of a web‐based substance use disorder intervention. The American journal on addictions. 2018 Apr;27(3):231-7. PMID: 29569403)

4. Propensity score weighting/matching (Example publication: Stuart EA, Cole SR, Bradshaw CP, Leaf PJ. The use of propensity scores to assess the generalizability of results from randomized trials. J R Stat Soc Ser A Stat Soc. 2001 Apr 1;174(2):369-386. doi: 10.1111/j.1467-985X.2010.00673.x. PMID: 24926156; PMCID: PMC4051511.

We also provided the GitHub repository and an interactive tutorial for GIST 2.0:

All the tutorials and data can be downloaded on Github