Advertisement

Comment on: “A Method to Stop Analyzing Random Error and Start Analyzing Differential Responders to Exercise”

This is a preview of subscription content, log in to check access.

Access options

Buy single article

Instant unlimited access to the full article PDF.

US$ 49.95

Price includes VAT for USA

Subscribe to journal

Immediate online access to all issues from 2019. Subscription will auto renew annually.

US$ 199

This is the net price. Taxes to be calculated in checkout.

Fig. 1
Fig. 2

References

  1. 1.

    Dankel SJ, Loenneke JP. A method to stop analyzing random error and start analyzing differential responders to exercise. Sports Med. 2019. https://doi.org/10.1007/s40279-019-01147-0.

  2. 2.

    Snapinn Steven M, Jiang Qi. Responder analyses and the assessment of a clinically relevant treatment effect. Trials. 2007;8(1):31.

  3. 3.

    Senn Stephen. Individual response to treatment: is it a valid assumption? BMJ. 2004;329(7472):966–8.

  4. 4.

    Crouter Scott E, Antczak Amanda, Hudak Jonathan R, DellaValle Diane M, Haas Jere D. Accuracy and reliability of the parvomedics trueone 2400 and medgraphics vo2000 metabolic systems. Eur J Appl Physiol. 2006;98(2):139–51.

  5. 5.

    Tenan Matthew S. A statistical method and tool to account for indirect calorimetry differential measurement error in a single-subject analysis. Front Physiol. 2016;7:172.

  6. 6.

    Barnes K, Kilding A, Blagrove R, Howatson G, Boone Jan, Bourgois Jan, Fletcher J, Macintosh B, Gonzalez-Mohino F. Commentaries on viewpoint: use aerobic energy expenditure instead of oxygen uptake to quantify exercise intensity and predict endurance performance. J Appl Physiol. 2018;125(2):676–82.

  7. 7.

    Tenan Matthew S, Bohannon Addison W, Macfarlane Duncan J, Crouter Scott E. Determining day-to-day human variation in indirect calorimetry using Bayesian decision theory. Exp Physiol. 2018;103(12):1579–85.

  8. 8.

    Uryniak Tom, Chan Ivan SF, Fedorov Valerii V, Jiang Qi, Oppenheimer Leonard, Snapinn Steven M, Teng Chi-Hse, Zhang John. Responder analyses—a PhRMA position paper. Stat Biopharm Res. 2011;3(3):476–87.

  9. 9.

    Hecksteden Anne, Kraushaar Jochen, Scharhag-Rosenberger Friederike, Theisen Daniel, Senn Stephen, Meyer Tim. Individual response to exercise training—a statistical perspective. J Appl Physiol. 2015;118(12):1450–9.

  10. 10.

    Senn Stephen, Rolfe Katie, Julious Steven A. Investigating variability in patient response to treatment—a case study from a replicate cross-over study. Stat Methods Med Res. 2011;20(6):657–66.

  11. 11.

    Fuller Wayne A. Measurement error models, vol. 305. New York: Wiley; 2009.

  12. 12.

    Wager E, Barbour V, Yentis S, Kleinert S, on behalf of COPE Council. Guidelines for retracting articles. version 1. 2009. https://doi.org/10.24318/cope.2019.1.4.

Download references

Acknowledgements

We would like to acknowledge Kristin Sainani and Blake McShane for their thoughtful comments.

Author information

Correspondence to Andrew D. Vigotsky.

Ethics declarations

Funding

No financial support was received for the conduct of this study or preparation of this manuscript.

Conflict of interest

Matthew Tenan, Andrew Vigotsky, and Aaron Caldwell declare that they have no conflict of interest.

Additional information

Details of our math and simulations can be found on OSF: https://osf.io/2r5ev/.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Tenan, M.S., Vigotsky, A.D. & Caldwell, A.R. Comment on: “A Method to Stop Analyzing Random Error and Start Analyzing Differential Responders to Exercise”. Sports Med (2019) doi:10.1007/s40279-019-01249-9

Download citation