Volume 16, Issue 1 (3-2024)                   IJDO 2024, 16(1): 42-50 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Pakgohar A, Mehrannia H. Sample Size Calculation in Clinical Trial and Animal Studies. IJDO 2024; 16 (1) :42-50
URL: http://ijdo.ssu.ac.ir/article-1-854-en.html
Departmment of Statistics, Payame Noor University (PNU). Tehran, Iran.
Abstract:   (287 Views)
Objective: This review aims to address the critical role of sample size calculation in designing and conducting animal studies related to diabetes and obesity, particularly focusing on experimental comparison methods like ANOVA design.
Materials and Methods: We discuss the factors influencing sample size decisions, including type I and type II errors, effect size, and standard deviation. We emphasize the importance of avoiding common pitfalls, such as using rules of thumb or arbitrary choices, and advocate for utilizing established formulas to ensure accurate and reliable sample size determination.
Results: This review presents relevant equations for calculating sample size in animal studies with an ANOVA design, providing researchers with a framework for determining the appropriate number of animals needed to achieve robust and ethical research.
Conclusion: Accurate sample size calculation is essential for achieving powerful and statistically sound animal studies in diabetes and obesity research. Utilizing established formulas and avoiding arbitrary choices ensures reliable and ethical research practices while minimizing resource waste and maximizing the validity of collected data.
 
Full-Text [PDF 249 kb]   (297 Downloads)    
Type of Study: Research | Subject: Special
Received: 2023/12/12 | Accepted: 2024/02/21 | Published: 2024/03/20

References
1. Serdar CC, Cihan M, Yücel D, Serdar MA. Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies. Biochemia medica. 2021;31(1):27-53. [DOI:10.11613/BM.2021.010502]
2. Hickey GL, Grant SW, Dunning J, Siepe M. Statistical primer: sample size and power calculations-why, when and how?. European journal of cardio-thoracic surgery. 2018;54(1):4-9. [DOI:10.1093/ejcts/ezy169]
3. Pakgohar A. The Role of Sample Size on Interpretation of the Result in Applied Research A Study on the Analysis of Regression Models. Methodology of Social Sciences and Humanities. 2023;29(114):19-34.(in Persian)‏
4. Dell RB, Holleran S, Ramakrishnan R. Sample size determination. ILAR journal. 2002;43(4):207-13. [DOI:10.1093/ilar.43.4.207]
5. Wittes J. Sample size calculations for randomized controlled trials. Epidemiologic reviews. 2002;24(1):39-53. [DOI:10.1093/epirev/24.1.39]
6. Hintze JL. Quick start manual. PASS power analysis and sample size system. Kaysville, UT: NCSS. Safarkhani and Moerbeek. 2008.‏
7. Zorich Jr JN. Reasons for No Longer Teaching [or Using] the Normal Approximation Confidence Interval.2021.‏
8. Hahn S. Understanding noninferiority trials. Korean journal of pediatrics. 2012;55(11):403. [DOI:10.3345/kjp.2012.55.11.403]
9. Zhang W. p-value based statistical significance tests: Concepts, misuses, critiques, solutions and beyond. Computational Ecology and Software. 2022;12(3):80.
10. Ko MJ, Lim CY. General considerations for sample size estimation in animal study. Korean Journal of Anesthesiology. 2021;74(1):23-9. [DOI:10.4097/kja.20662]
11. Martic-Kehl MI, Ametamey SM, Alf MF, Schubiger PA, Honer M. Impact of inherent variability and experimental parameters on the reliability of small animal PET data. EJNMMI research. 2012;2:1-0. [DOI:10.1186/2191-219X-2-26]
12. Wang, D., & Ji, L. (2018). Sample size estimation in clinical research. Annals of Translational Medicine, 6(18), 358. [DOI:10.1016/j.chest.2020.03.010]
13. Zhong B. How to calculate sample size in randomized controlled trial?. Journal of thoracic disease. 2009;1(1):51.
14. Bell ML. New guidance to improve sample size calculations for trials: eliciting the target difference. Trials.2018;19:1-4. [DOI:10.1186/s13063-018-2894-y]
15. Arnold BF, Hogan DR, Colford JM, Hubbard AE. Simulation methods to estimate design power: an overview for applied research. BMC medical research methodology. 2011;11(1):1-0.. [DOI:10.1186/1471-2288-11-94]
16. Charan J, Kantharia N. How to calculate sample size in animal studies?. Journal of Pharmacology and Pharmacotherapeutics. 2013;4(4):303-6. [DOI:10.4103/0976-500X.119726]
17. Rahnenführer J, De Bin R, Benner A, Ambrogi F, Lusa L, Boulesteix AL, et al. Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges. BMC medicine. 2023;21(1):182. [DOI:10.1186/s12916-023-02858-y]

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iranian Journal of Diabetes and Obesity

Designed & Developed by : Yektaweb