Measuring the performance of prediction models to personalize treatment choice: Defining observed and predicted pairwise treatment effects

David van Klaveren; Carolien C.H.M. Maas; David M. Kent

doi:10.1002/sim.9719

Measuring the performance of prediction models to personalize treatment choice: Defining observed and predicted pairwise treatment effects

David van Klaveren^*
, Carolien C.H.M. Maas
, David M. Kent

^*Corresponding author for this work

Public Health

Predictive Analytics and Comparative Effectiveness (PACE) Center at the Institute for Clinical Research and Health Policy Studies

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

4 Citations (Scopus)

3 Downloads (Pure)

Original language	English
Pages (from-to)	4514-4515
Number of pages	2
Journal	Statistics in Medicine
Volume	42
Issue number	24
DOIs	https://doi.org/10.1002/sim.9719
Publication status	Published - 30 Oct 2023

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10.1002/sim.9719

Statistics in Medicine - 2023 - Klaveren - Measuring the performance of prediction models to personalize treatment choice Final published version, 745 KBLicence: Article 25fa Dutch Copyright Act

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title = "Measuring the performance of prediction models to personalize treatment choice: Defining observed and predicted pairwise treatment effects",

author = "\{van Klaveren\}, David and Maas, \{Carolien C.H.M.\} and Kent, \{David M.\}",

note = "{\textcopyright} 2023 JohnWiley \& Sons Ltd.",

year = "2023",

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language = "English",

volume = "42",

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journal = "Statistics in Medicine",

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Measuring the performance of prediction models to personalize treatment choice: Defining observed and predicted pairwise treatment effects. / van Klaveren, David ; Maas, Carolien C.H.M.; Kent, David M.
In: Statistics in Medicine, Vol. 42, No. 24, 30.10.2023, p. 4514-4515.

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

TY - JOUR

T1 - Measuring the performance of prediction models to personalize treatment choice

T2 - Defining observed and predicted pairwise treatment effects

AU - van Klaveren, David

AU - Maas, Carolien C.H.M.

AU - Kent, David M.

PY - 2023/10/30

Y1 - 2023/10/30

UR - https://www.scopus.com/pages/publications/85174457343

U2 - 10.1002/sim.9719

DO - 10.1002/sim.9719

M3 - Comment/Letter to the editor

C2 - 37828811

AN - SCOPUS:85174457343

SN - 0277-6715

VL - 42

SP - 4514

EP - 4515

JO - Statistics in Medicine

JF - Statistics in Medicine

IS - 24

ER -

Measuring the performance of prediction models to personalize treatment choice: Defining observed and predicted pairwise treatment effects

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