Interpreting the totality of clinical study data: is there a better way? Statistical methodology for quantitatively interpreting clinical study data across efficacy endpoints.

Meske DS, Dworkin RH, Gudin J, Jaros M, Vought K, Horine S, Lissin D, Vaughn B

Open source

DOI
10.1016/j.cct.2026.108452
Published
2026 Aug 31
Container
Contemporary clinical trials
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.cct.2026.108452,
  title = {Interpreting the totality of clinical study data: is there a better way? Statistical methodology for quantitatively interpreting clinical study data across efficacy endpoints.},
  author = {Meske DS and Dworkin RH and Gudin J and Jaros M and Vought K and Horine S and Lissin D and Vaughn B},
  year = {2026},
  journal = {Contemporary clinical trials},
  doi = {10.1016/j.cct.2026.108452},
  url = {https://doi.org/10.1016/j.cct.2026.108452}
}

RIS

TY  - JOUR
TI  - Interpreting the totality of clinical study data: is there a better way? Statistical methodology for quantitatively interpreting clinical study data across efficacy endpoints.
AU  - Meske DS
AU  - Dworkin RH
AU  - Gudin J
AU  - Jaros M
AU  - Vought K
AU  - Horine S
AU  - Lissin D
AU  - Vaughn B
PY  - 2026
JO  - Contemporary clinical trials
DO  - 10.1016/j.cct.2026.108452
UR  - https://doi.org/10.1016/j.cct.2026.108452
ER  - 

APA

DS, M., RH, D., J, G., M, J., K, V., S, H., D, L., & B, V. (2026). Interpreting the totality of clinical study data: is there a better way? Statistical methodology for quantitatively interpreting clinical study data across efficacy endpoints.. Contemporary clinical trials. https://doi.org/10.1016/j.cct.2026.108452

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