Statistical analysis of clinical trial data for resource allocation decisions

Rita Faria; Andrea Manca

doi:10.1057/9780230226203.3894

Statistical analysis of clinical trial data for resource allocation decisions

Rita Faria, Andrea Manca

Centre for Health Economics

Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary

Abstract

Randomised controlled trials (RCTs) are a major source of individual patient level data (IPD) on the clinical outcomes, costs and other measures of health consequences associated with alternative healthcare interventions. These data are typically used to establish the ‘value for money’ of healthcare technologies. While a clear policy framework to guide the above assessment exists, the analysis of RCT data to inform decision making requires the adoption of a specific quantitative methodological framework. This article describes the use of RCTs for cost-effectiveness analysis, discusses the major statistical issues and possible solutions, and outlines recent research developments in this area.

Original language	English
Title of host publication	The New Palgrave Dictionary of Economics Online
Editors	SN Durlauf, LE Blume
Publisher	Palgrave Macmillan
DOIs	https://doi.org/10.1057/9780230226203.3894
Publication status	Published - 10 Apr 2013

Keywords

randomised clinical trial; economic evaluation; econometrics; cost-effectiveness

Access to Document

10.1057/9780230226203.3894

http://www.dictionaryofeconomics.com/article?id=pde2013_S000551

Cite this

@inbook{fbf18f04a2b245f7a36ab7595c1d527c,

title = "Statistical analysis of clinical trial data for resource allocation decisions",

abstract = "Randomised controlled trials (RCTs) are a major source of individual patient level data (IPD) on the clinical outcomes, costs and other measures of health consequences associated with alternative healthcare interventions. These data are typically used to establish the {\textquoteleft}value for money{\textquoteright} of healthcare technologies. While a clear policy framework to guide the above assessment exists, the analysis of RCT data to inform decision making requires the adoption of a specific quantitative methodological framework. This article describes the use of RCTs for cost-effectiveness analysis, discusses the major statistical issues and possible solutions, and outlines recent research developments in this area.",

keywords = "randomised clinical trial; economic evaluation; econometrics; cost-effectiveness",

author = "Rita Faria and Andrea Manca",

year = "2013",

month = apr,

day = "10",

doi = "10.1057/9780230226203.3894",

language = "English",

editor = "SN Durlauf and LE Blume",

booktitle = "The New Palgrave Dictionary of Economics Online",

publisher = "Palgrave Macmillan",

address = "United Kingdom",

}

TY - CHAP

T1 - Statistical analysis of clinical trial data for resource allocation decisions

AU - Faria, Rita

AU - Manca, Andrea

PY - 2013/4/10

Y1 - 2013/4/10

N2 - Randomised controlled trials (RCTs) are a major source of individual patient level data (IPD) on the clinical outcomes, costs and other measures of health consequences associated with alternative healthcare interventions. These data are typically used to establish the ‘value for money’ of healthcare technologies. While a clear policy framework to guide the above assessment exists, the analysis of RCT data to inform decision making requires the adoption of a specific quantitative methodological framework. This article describes the use of RCTs for cost-effectiveness analysis, discusses the major statistical issues and possible solutions, and outlines recent research developments in this area.

AB - Randomised controlled trials (RCTs) are a major source of individual patient level data (IPD) on the clinical outcomes, costs and other measures of health consequences associated with alternative healthcare interventions. These data are typically used to establish the ‘value for money’ of healthcare technologies. While a clear policy framework to guide the above assessment exists, the analysis of RCT data to inform decision making requires the adoption of a specific quantitative methodological framework. This article describes the use of RCTs for cost-effectiveness analysis, discusses the major statistical issues and possible solutions, and outlines recent research developments in this area.

KW - randomised clinical trial; economic evaluation; econometrics; cost-effectiveness

U2 - 10.1057/9780230226203.3894

DO - 10.1057/9780230226203.3894

M3 - Entry for encyclopedia/dictionary

BT - The New Palgrave Dictionary of Economics Online

A2 - Durlauf, SN

A2 - Blume, LE

PB - Palgrave Macmillan

ER -