Predicting personalised absolute treatment effects in individual participant data meta-analysis: An introduction to splines

Michail Belias; Maroeska M. Rovers; Jeroen Hoogland; Johannes B. Reitsma; Thomas P.A. Debray; Joanna IntHout

doi:10.1002/jrsm.1546

Predicting personalised absolute treatment effects in individual participant data meta-analysis: An introduction to splines

Michail Belias
, Maroeska M. Rovers
, Jeroen Hoogland
, Johannes B. Reitsma
, Thomas P.A. Debray
, Joanna IntHout^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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Original language	English
Pages (from-to)	255-283
Number of pages	29
Journal	Research Synthesis Methods
Volume	13
Issue number	2
DOIs	https://doi.org/10.1002/jrsm.1546
Publication status	Published - Mar 2022

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Research Synthesis Methods - 2022 - Belias - Predicting personalised absolute treatment effects in individual participantFinal published version, 9.79 MBLicence: CC BY

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title = "Predicting personalised absolute treatment effects in individual participant data meta-analysis: An introduction to splines",

author = "Michail Belias and Rovers, \{Maroeska M.\} and Jeroen Hoogland and Reitsma, \{Johannes B.\} and Debray, \{Thomas P.A.\} and Joanna IntHout",

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doi = "10.1002/jrsm.1546",

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AU - Belias, Michail

AU - Rovers, Maroeska M.

AU - Hoogland, Jeroen

AU - Reitsma, Johannes B.

AU - Debray, Thomas P.A.

AU - IntHout, Joanna

PY - 2022/3

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SN - 1759-2879

VL - 13

SP - 255

EP - 283

JO - Research Synthesis Methods

JF - Research Synthesis Methods

IS - 2

ER -

Predicting personalised absolute treatment effects in individual participant data meta-analysis: An introduction to splines

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