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Sample Size Estimation in Clinical Research
Abstract
Sample size determination is an essential step in planning a clinical study. It is critical to understand that different study designs need different methods of sample size estimation. Although there is a vast literature discussing sample size estimation, incorrect or improper formulas continue to be applied. This article reviews basic statistical concepts in sample size estimation, discusses statistical considerations in the choice of a sample size for randomized controlled trials and observational studies, and provides strategies for reducing sample size when planning a study. To assist clinical researchers in performing sample size calculations, we have developed an online calculator for common clinical study designs. The calculator is available at http://riskcalc.org:3838/samplesize/. Finally, we offer our recommendations on reporting sample size determination in clinical studies.
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“This limits interpretation of the mixed findings reported across all of the trial outcomes (Wang & Ji, 2020).”
From A Systematic Review of Third-Wave Therapies to Reduce Distress and Improve Wellbeing and Quality of Life in People with Parkinson's Disease. (2025) · cites this paper as Wang & Ji, 2020
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BESS: A Bayesian Estimator of Sample Size
Bi, D.-H., & Ji, Y. (2024) · doi:10.48550/arxiv.2404.07923
“A comprehensive review can be found in Wang and Ji [2020].”
BackgroundRamos, N., Besoaín, F., Cancino, N., Gallardo, I., Albornoz, P. D., Fresno, A., Spencer, R., Schott, S., Núñez, D., Salgado, C., et al. (2024) · JMIR Research Protocols · doi:10.2196/52324
Uslu, Y., Aydal, P., & Ulus, B. (2023) · Journal of Perianesthesia Nursing · doi:10.1016/j.jopan.2023.08.009
Mu, J.-D., Zhang, Z., Ma, L.-X., Li, H., Huang, X.-S., Li, X., Qian, X., Ma, L.-H., Zhang, Q.-Y., & Sun, T.-Y. (2023) · European Journal of Integrative Medicine · doi:10.1016/j.eujim.2023.102296
Cua-Lim, J. T., Lim, W., & Chua, A. (2023) · Journal of Laryngology and Voice · doi:10.4103/jlv.jlv_2_23
Mbalazi, M., Meremo, A., Alphonce, B., & Meda, J. (2023) · medRxiv · doi:10.1101/2023.06.15.23291478
Bilikundi, P., Alphonce, B., Nyundo, A., & Meda, J. (2023) · medRxiv · doi:10.1371/journal.pone.0287813
“Sample size estimation In order to estimate the sample size, the proportionate formula used in prospective cohort studies will be used[19]”
MethodFactors that Influence Innovation Acceptance on Bioactive Paper for Fruit Shelf Life Extension
Hengboriboon, L., Sookman, A., Khamdee, P., Phengtham, T., & Gebsombat, N. (2023) · 2023 International Conference on Innovation, Knowledge, and Management (ICIKM) · doi:10.1109/icikm59709.2023.00009
“A purposive sample size procedure was used to determine which entrepreneurs and consumers with innovative adoption factors would be tested for innovation bioactive in this study [19].”
MethodMbaga, D., Bikoï, J. N., Okobalemba, E. A., Essindi, J., Mikangue, C., Membangbi, A., Ngoutane, A., Elang, A., Touangnou-Chamda, S. A., Sake, C., et al. (2022) · The Pan African Medical Journal · doi:10.11604/pamj.2022.43.72.35450
Muslim, A. S., Dadang, D., Indrasti, N. S., & Syaukat, Y. (2022) · Jurnal Aisyah Jurnal Ilmu Kesehatan · doi:10.30604/jika.v7i1.939
“…of population exposed to pesticides (P = 0.566) D = Absolute precision (number of people that must be included in the sample so that prevalence can be exceptional within 15% (0.15) above and below the true prevalence with a level of 95% confidence (Charan & Biswas, 2013 ; (X. Wang & Ji, 2020) .”
BackgroundInfluentialYadav, S. K., & Akhter, Y. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2021.783201
Ge, Q.-W., Li, M., Xu, Z., Qi, Z., Zheng, H.-Y., Cao, Y., Huang, H., Duan, X., & Zhuang, X. (2021) · Research Square · doi:10.21203/rs.3.rs-154511/v1
“In that study, the cut-off value for WHR was not suitable for predicting T2DM compared with those of BMI and WHtR [19].”
MethodZhang, W.-Q. (2026) · Advances in Clinical Medicine · doi:10.12677/acm.2026.162727
Assessing the feasibility of an education intervention for triage interruption management
Johnson, K., Wagner, R., Guan, T., Barbosa, S. D. F. F., & Sasangohar, F. (2026) · Acta Paulista de Enfermagem · doi:10.37689/acta-ape/2026ao2013
Assessing the feasibility of an education intervention for triage interruption management
Johnson, K. D., Wagner, R., Guan, T.-Y., Barbosa, S. D. F. F., & Sasangohar, F. (2026) · Acta Paulista de Enfermagem · doi:10.37689/acta-ape/2026ao2013i
Yao, M., Yang, Y.-T., Yang, Y.-W., Ye, Q., Chen, Q., & Lin, T. (2025) · Nursing Communications · doi:10.53388/in2025021
“According to Kendall’s experience with estimating sample size for multiple linear regression, the sample size should be 10 to 20 times the number of variables [22, 23].”
Metadata
- Authors
- Wang, X., & Ji, X.
- Affiliations
- Cleveland Clinic (US)
- Corresponding author
- Wang, Xiaofeng
- ORCID
- Wang, Xiaofeng
- Venue
- Chest
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 158
- Issue
- 1
- Pages
- S12-S20
- ISSN
- 0012-3692 (ISSN-L)
- OpenAlex
- W3039422431
- Cited by
- 452
- References
- 0
- Citations by year
- 2026: 87 · 2025: 105 · 2024: 121 · 2023: 76 · 2022: 36 · 2021: 22 · 2020: 4
- FWCI
- 24.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- CHEST Journal (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- sample size determination, randomized controlled trials, observational studies, clinical research design, statistical power
- MeSH terms
- Humans, Research Design, Randomized Controlled Trials as Topic, Sample Size, Observational Studies as Topic
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