The authors' reply to Koeser and McCrone: "on the use and interpretation of quantile regression in quality-of-life research"

Michela Tinelli; Anthony Scott; Janelle Seymour; Mandy Ryan; Christine Bond; Paul McNamee

doi:10.1007/s40273-013-0114-x

The authors' reply to Koeser and McCrone: "on the use and interpretation of quantile regression in quality-of-life research"

Michela Tinelli, Anthony Scott, Janelle Seymour, Mandy Ryan, Christine Bond, Paul McNamee

Research output: Contribution to journal › Letter › peer-review

Abstract

We (the authors) acknowledge and welcome this letter of clarification from Koeser and McCrone [1] (hereafter referred to as KM). With this reply, we would like to justify and clarify our use and interpretation of quantile regression techniques in quality-of-life research based on our two papers using data from the Community Pharmacy Medicines Management Project [2].

Original language	English
Pages (from-to)	229-230
Number of pages	2
Journal	Pharmacoeconomics
Volume	32
Issue number	2
Early online date	18 Jan 2014
DOIs	https://doi.org/10.1007/s40273-013-0114-x
Publication status	Published - Feb 2014

Keywords

Female
Health Policy
Humans
Male
Outcome Assessment (Health Care)
Quality of Life
Randomized Controlled Trials as Topic

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s40273-013-0114-x

Cite this

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abstract = "We (the authors) acknowledge and welcome this letter of clarification from Koeser and McCrone [1] (hereafter referred to as KM). With this reply, we would like to justify and clarify our use and interpretation of quantile regression techniques in quality-of-life research based on our two papers using data from the Community Pharmacy Medicines Management Project [2].",

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AU - Ryan, Mandy

AU - Bond, Christine

AU - McNamee, Paul

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KW - Health Policy

KW - Humans

KW - Male

KW - Outcome Assessment (Health Care)

KW - Quality of Life

KW - Randomized Controlled Trials as Topic

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The authors' reply to Koeser and McCrone: "on the use and interpretation of quantile regression in quality-of-life research"

Abstract

Keywords

UN SDGs

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