The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols

Paula Dhiman; Rebecca Whittle; Ben Van Calster; Marzyeh Ghassemi; Xiaoxuan Liu; Melissa D McCradden; Karel G M Moons; Richard D Riley; Gary S. Collins

doi:10.1038/s42256-023-00705-6

The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols

Paula Dhiman^*, Rebecca Whittle, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Melissa D McCradden, Karel G M Moons, Richard D Riley, Gary S. Collins

^*Corresponding author for this work

Applied Health Sciences

Research output: Contribution to journal › Letter › peer-review

Original language	English
Pages (from-to)	816–817
Number of pages	2
Journal	Nature Machine Intelligence
Volume	5
DOIs	https://doi.org/10.1038/s42256-023-00705-6
Publication status	Published - 21 Aug 2023

Access to Document

10.1038/s42256-023-00705-6

Cite this

@article{f60cf0a568cf46e7b8705e6be85c6de5,

title = "The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols",

author = "Paula Dhiman and Rebecca Whittle and Calster, {Ben Van} and Marzyeh Ghassemi and Xiaoxuan Liu and McCradden, {Melissa D} and Moons, {Karel G M} and Riley, {Richard D} and Collins, {Gary S.}",

year = "2023",

month = aug,

day = "21",

doi = "10.1038/s42256-023-00705-6",

language = "English",

volume = "5",

pages = "816–817",

journal = "Nature Machine Intelligence",

issn = "2522-5839",

publisher = "Nature Publishing Group",

}

TY - JOUR

T1 - The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols

AU - Dhiman, Paula

AU - Whittle, Rebecca

AU - Calster, Ben Van

AU - Ghassemi, Marzyeh

AU - Liu, Xiaoxuan

AU - McCradden, Melissa D

AU - Moons, Karel G M

AU - Riley, Richard D

AU - Collins, Gary S.

PY - 2023/8/21

Y1 - 2023/8/21

U2 - 10.1038/s42256-023-00705-6

DO - 10.1038/s42256-023-00705-6

M3 - Letter

SN - 2522-5839

VL - 5

SP - 816

EP - 817

JO - Nature Machine Intelligence

JF - Nature Machine Intelligence

ER -