Authors' Reply to Li et al.: "Alternative Statistical Analysis Shows Exercise Training-Induced Improvements in Peak VO₂ are Clinically Significant"

Belinda Parmenter; Gudrun Dieberg; Neil Smart

doi:10.1007/s40279-015-0316-9

Authors' Reply to Li et al. "Alternative Statistical Analysis Shows Exercise Training-Induced Improvements in Peak VO₂ are Clinically Significant"

Belinda Parmenter
, Gudrun Dieberg
, Neil Smart

Research output: Contribution to journal › Letter

Abstract

We thank Dr. Li et al. for their commentary on our recently published meta-analysis in Sports Medicine. While there is no doubt that there is an argument for the use of a random-effects model in the presence of significant heterogeneity, such a model can introduce inherent problems of its own.

Original language	English
Pages (from-to)	767-768
Journal	Sports Medicine
Volume	45
Issue number	5
DOIs	https://doi.org/10.1007/s40279-015-0316-9
Publication status	Published - 31 Dec 2015

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Cardiology (incl Cardiovascular Diseases)
Exercise Physiology

Access to Document

10.1007/s40279-015-0316-9

https://hdl.handle.net/1959.11/17361

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Cite this

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title = "Authors' Reply to Li et al.: {"}Alternative Statistical Analysis Shows Exercise Training-Induced Improvements in Peak VO₂ are Clinically Significant{"}",

abstract = "We thank Dr. Li et al. for their commentary on our recently published meta-analysis in Sports Medicine. While there is no doubt that there is an argument for the use of a random-effects model in the presence of significant heterogeneity, such a model can introduce inherent problems of its own.",

keywords = "Cardiology (incl Cardiovascular Diseases), Exercise Physiology",

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AU - Parmenter, Belinda

AU - Dieberg, Gudrun

AU - Smart, Neil

PY - 2015/12/31

Y1 - 2015/12/31

N2 - We thank Dr. Li et al. for their commentary on our recently published meta-analysis in Sports Medicine. While there is no doubt that there is an argument for the use of a random-effects model in the presence of significant heterogeneity, such a model can introduce inherent problems of its own.

AB - We thank Dr. Li et al. for their commentary on our recently published meta-analysis in Sports Medicine. While there is no doubt that there is an argument for the use of a random-effects model in the presence of significant heterogeneity, such a model can introduce inherent problems of its own.

KW - Cardiology (incl Cardiovascular Diseases)

KW - Exercise Physiology

U2 - 10.1007/s40279-015-0316-9

DO - 10.1007/s40279-015-0316-9

M3 - Letter

SN - 0112-1642

VL - 45

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JO - Sports Medicine

JF - Sports Medicine

IS - 5

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