Applications and Extensions of Joint Models in Clinical Trials: estimating intervention effects

Floor van Oudenhoven

Applications and Extensions of Joint Models in Clinical Trials: estimating intervention effects

Floor van Oudenhoven

Epidemiology

Research output: Types of Thesis › Doctoral Thesis › Internal

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Abstract

In this thesis, we develop and apply statistical methodology to estimate and understand different types of intervention effects in longitudinal clinical trial data. To this end, we use the framework of joint models for longitudinal and survival (i.e.,) data, which couples the longitudinal measurements and the survival data into a single statistical model.

Original language	English
Awarding Institution	Erasmus University Rotterdam
Supervisors/Advisors	Rizopoulos, Dimitris, Supervisor Hartmann, Tobias, Supervisor, External person Swinkels, Sophia, Co-supervisor
Award date	28 Sept 2022
Place of Publication	Rotterdam
Publication status	Published - 28 Sept 2022

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final dissertation Oudenhoven, Floor vanFinal published version, 3.84 MBLicence: Unspecified

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title = "Applications and Extensions of Joint Models in Clinical Trials: estimating intervention effects",

abstract = "In this thesis, we develop and apply statistical methodology to estimate and understand different types of intervention effects in longitudinal clinical trial data. To this end, we use the framework of joint models for longitudinal and survival (i.e.,) data, which couples the longitudinal measurements and the survival data into a single statistical model.",

author = "{van Oudenhoven}, Floor",

year = "2022",

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language = "English",

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T2 - estimating intervention effects

AU - van Oudenhoven, Floor

PY - 2022/9/28

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N2 - In this thesis, we develop and apply statistical methodology to estimate and understand different types of intervention effects in longitudinal clinical trial data. To this end, we use the framework of joint models for longitudinal and survival (i.e.,) data, which couples the longitudinal measurements and the survival data into a single statistical model.

AB - In this thesis, we develop and apply statistical methodology to estimate and understand different types of intervention effects in longitudinal clinical trial data. To this end, we use the framework of joint models for longitudinal and survival (i.e.,) data, which couples the longitudinal measurements and the survival data into a single statistical model.

M3 - Doctoral Thesis

CY - Rotterdam

ER -

Applications and Extensions of Joint Models in Clinical Trials: estimating intervention effects

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