Sample size calculations for continuous outcomes in clinical nutrition

Research output: Contribution to journalJournal articlepeer-review

Standard

Sample size calculations for continuous outcomes in clinical nutrition. / Ritz, Christian; Olsen, Mette Frahm; Grenov, Benedikte; Friis, Henrik.

In: European Journal of Clinical Nutrition, Vol. 76, No. 12, 2022, p. 1682-1689.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Ritz, C, Olsen, MF, Grenov, B & Friis, H 2022, 'Sample size calculations for continuous outcomes in clinical nutrition', European Journal of Clinical Nutrition, vol. 76, no. 12, pp. 1682-1689. https://doi.org/10.1038/s41430-022-01169-4

APA

Ritz, C., Olsen, M. F., Grenov, B., & Friis, H. (2022). Sample size calculations for continuous outcomes in clinical nutrition. European Journal of Clinical Nutrition, 76(12), 1682-1689. https://doi.org/10.1038/s41430-022-01169-4

Vancouver

Ritz C, Olsen MF, Grenov B, Friis H. Sample size calculations for continuous outcomes in clinical nutrition. European Journal of Clinical Nutrition. 2022;76(12):1682-1689. https://doi.org/10.1038/s41430-022-01169-4

Author

Ritz, Christian ; Olsen, Mette Frahm ; Grenov, Benedikte ; Friis, Henrik. / Sample size calculations for continuous outcomes in clinical nutrition. In: European Journal of Clinical Nutrition. 2022 ; Vol. 76, No. 12. pp. 1682-1689.

Bibtex

@article{26b8b5b2a57b4ffba94cd56c56221e22,
title = "Sample size calculations for continuous outcomes in clinical nutrition",
abstract = "In nutrition research, sample size calculations for continuous outcomes are important for the planning phase of many randomized trials and could also be relevant for some observational studies such as cohort and cross-sectional studies. However, only little literature dedicated to this topic exists within nutritional science. This article reviews the most common methods for sample size calculations in nutrition research. Approximate formulas are used for explaining concepts and requirements and for working through examples from the literature. Sample size calculations for the various study designs, which are covered, may all be seen as extensions of the sample size calculation for the basic two-group comparison through the application of suitable scaling factors and, possibly, modification of the significance level. The latter is needed for sample size calculations for multi-group designs and designs involving multiple primary outcomes. Like cluster-randomized designs, these types of study designs may be more challenging than standard sample size calculations. In such non-standard scenarios, there may be a need for consulting a biostatistician. Finally, it should be stressed that there may be many ways to plan a study. The final sample size calculation provided for a grant applicant, study protocol, or publication will often not only depend on considerations and input information as described in this article but will also involve restrictions in terms of logistics and/or resources.",
author = "Christian Ritz and Olsen, {Mette Frahm} and Benedikte Grenov and Henrik Friis",
note = "{\textcopyright} 2022. The Author(s), under exclusive licence to Springer Nature Limited.",
year = "2022",
doi = "10.1038/s41430-022-01169-4",
language = "English",
volume = "76",
pages = "1682--1689",
journal = "European Journal of Clinical Nutrition",
issn = "0954-3007",
publisher = "nature publishing group",
number = "12",

}

RIS

TY - JOUR

T1 - Sample size calculations for continuous outcomes in clinical nutrition

AU - Ritz, Christian

AU - Olsen, Mette Frahm

AU - Grenov, Benedikte

AU - Friis, Henrik

N1 - © 2022. The Author(s), under exclusive licence to Springer Nature Limited.

PY - 2022

Y1 - 2022

N2 - In nutrition research, sample size calculations for continuous outcomes are important for the planning phase of many randomized trials and could also be relevant for some observational studies such as cohort and cross-sectional studies. However, only little literature dedicated to this topic exists within nutritional science. This article reviews the most common methods for sample size calculations in nutrition research. Approximate formulas are used for explaining concepts and requirements and for working through examples from the literature. Sample size calculations for the various study designs, which are covered, may all be seen as extensions of the sample size calculation for the basic two-group comparison through the application of suitable scaling factors and, possibly, modification of the significance level. The latter is needed for sample size calculations for multi-group designs and designs involving multiple primary outcomes. Like cluster-randomized designs, these types of study designs may be more challenging than standard sample size calculations. In such non-standard scenarios, there may be a need for consulting a biostatistician. Finally, it should be stressed that there may be many ways to plan a study. The final sample size calculation provided for a grant applicant, study protocol, or publication will often not only depend on considerations and input information as described in this article but will also involve restrictions in terms of logistics and/or resources.

AB - In nutrition research, sample size calculations for continuous outcomes are important for the planning phase of many randomized trials and could also be relevant for some observational studies such as cohort and cross-sectional studies. However, only little literature dedicated to this topic exists within nutritional science. This article reviews the most common methods for sample size calculations in nutrition research. Approximate formulas are used for explaining concepts and requirements and for working through examples from the literature. Sample size calculations for the various study designs, which are covered, may all be seen as extensions of the sample size calculation for the basic two-group comparison through the application of suitable scaling factors and, possibly, modification of the significance level. The latter is needed for sample size calculations for multi-group designs and designs involving multiple primary outcomes. Like cluster-randomized designs, these types of study designs may be more challenging than standard sample size calculations. In such non-standard scenarios, there may be a need for consulting a biostatistician. Finally, it should be stressed that there may be many ways to plan a study. The final sample size calculation provided for a grant applicant, study protocol, or publication will often not only depend on considerations and input information as described in this article but will also involve restrictions in terms of logistics and/or resources.

U2 - 10.1038/s41430-022-01169-4

DO - 10.1038/s41430-022-01169-4

M3 - Journal article

C2 - 35804148

VL - 76

SP - 1682

EP - 1689

JO - European Journal of Clinical Nutrition

JF - European Journal of Clinical Nutrition

SN - 0954-3007

IS - 12

ER -

ID: 315262343