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Modelling the Survival Outcomes of Immuno-Oncology Drugs in Economic Evaluations: A Systematic Approach to Data Analysis and Extrapolation.

Identifieur interne : 004D89 ( Ncbi/Checkpoint ); précédent : 004D88; suivant : 004D90

Modelling the Survival Outcomes of Immuno-Oncology Drugs in Economic Evaluations: A Systematic Approach to Data Analysis and Extrapolation.

Auteurs : Eddie Gibson [Royaume-Uni] ; Ian Koblbauer [Royaume-Uni] ; Najida Begum [Royaume-Uni] ; George Dranitsaris [Canada] ; Danny Liew [Australie] ; Phil Mcewan [Royaume-Uni] ; Amir Abbas Tahami Monfared [Canada] ; Yong Yuan [États-Unis] ; Ariadna Juarez-Garcia [Mexique] ; David Tyas [Royaume-Uni] ; Michael Lees [France]

Source :

PharmacoEconomics [ 1179-2027 ] ; 2017.

RBID : pubmed:28866758

Abstract

New immuno-oncology (I-O) therapies that harness the immune system to fight cancer call for a re-examination of the traditional parametric techniques used to model survival from clinical trial data. More flexible approaches are needed to capture the characteristic I-O pattern of delayed treatment effects and, for a subset of patients, the plateau of long-term survival.

DOI: 10.1007/s40273-017-0558-5
PubMed: 28866758

Affiliations:

Australie, Canada, France, Mexique, Royaume-Uni, États-Unis
Angleterre, Grand Londres, New Jersey, Oxfordshire, Québec, Victoria (État), Île-de-France
Londres, Melbourne, Montréal, Oxford, Paris

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pubmed:28866758

Le document en format XML

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Modelling the Survival Outcomes of Immuno-Oncology Drugs in Economic Evaluations: A Systematic Approach to Data Analysis and Extrapolation.

Modelling the Survival Outcomes of Immuno-Oncology Drugs in Economic Evaluations: A Systematic Approach to Data Analysis and Extrapolation.

Source :

Abstract

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Le document en format XML

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Pour générer des pages wiki