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Journal articles on the topic 'Sample size determination'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 June 2025

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1

Muralidharan, K. "On Sample Size Determination." MATHEMATICAL JOURNAL OF INTERDISCIPLINARY SCIENCES 3, no. 1 (2014): 55–64. http://dx.doi.org/10.15415/mjis.2014.31005.

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2

G, Ajithakumari. "Sample Size Determination and Sampling Technique." International Journal of Science and Research (IJSR) 13, no. 9 (2024): 1432–40. http://dx.doi.org/10.21275/es24924103353.

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3

Chun, Byoung Ryul. "Sample Size Determination." Journal of Korean Society for Clinical Pharmacology and Therapeutics 2, no. 2 (1994): 209. http://dx.doi.org/10.12793/jkscpt.1994.2.2.209.

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4

Clark, Virginia. "Sample Size Determination." Plastic and Reconstructive Surgery 87, no. 3 (1991): 569–73. http://dx.doi.org/10.1097/00006534-199103000-00030.

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5

Dell, R. B., S. Holleran, and R. Ramakrishnan. "Sample Size Determination." ILAR Journal 43, no. 4 (2002): 207–13. http://dx.doi.org/10.1093/ilar.43.4.207.

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6

Wang, Yu, Zheng Guan, and Tengyuan Zhao. "Sample size determination in geotechnical site investigation considering spatial variation and correlation." Canadian Geotechnical Journal 56, no. 7 (2019): 992–1002. http://dx.doi.org/10.1139/cgj-2018-0474.

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Site investigation is a fundamental element in geotechnical engineering practice, but only a small portion of geomaterials is sampled and tested during site investigation. This leads to a question of sample size determination: how many samples are needed to achieve a target level of accuracy for the results inferred from the samples? Sample size determination is a well-known topic in statistics and has many applications in a wide variety of areas. However, conventional statistical methods, which mainly deal with independent data, only have limited applications in geotechnical site investigation because geotechnical data are not independent, but spatially varying and correlated. Existing design codes around the world (e.g., Eurocode 7) only provide conceptual principles on sample size determination. No scientific or quantitative method is available for sample size determination in site investigation considering spatial variation and correlation of geotechnical properties. This study performs an extensive parametric study and develops a statistical chart for sample size determination with consideration of spatial variation and correlation using Bayesian compressive sensing or sampling. Real cone penetration test data and real laboratory test data are used to illustrate application of the proposed statistical chart, and the method is shown to perform well.
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7

Adcock, C. J. "Sample size determination: a review." Journal of the Royal Statistical Society: Series D (The Statistician) 46, no. 2 (1997): 261–83. http://dx.doi.org/10.1111/1467-9884.00082.

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8

Van Mullekom, Jennifer H. "Sample Size and Power Determination." Journal of Quality Technology 47, no. 2 (2015): 205–6. http://dx.doi.org/10.1080/00224065.2015.11918126.

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9

Rao, UmadeviK. "Concepts in sample size determination." Indian Journal of Dental Research 23, no. 5 (2012): 660. http://dx.doi.org/10.4103/0970-9290.107385.

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10

Kim, Hyungjin Myra. "Sample Size Determination and Power." International Statistical Review 83, no. 1 (2015): 168–69. http://dx.doi.org/10.1111/insr.12095_8.

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11

Nassar, M. M., S. M. Khamis, and S. S. Radwan. "On Bayesian sample size determination." Journal of Applied Statistics 38, no. 5 (2011): 1045–54. http://dx.doi.org/10.1080/02664761003758992.

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12

Kiselev, N. S., and A. V. Grabovoy. "Sample Size Determination: Likelihood Bootstrapping." Computational Mathematics and Mathematical Physics 65, no. 2 (2025): 416–23. https://doi.org/10.1134/s0965542524702002.

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13

Yeo, In-Kwon. "Sample Size Determination for One-Sample Location Tests." Korean Journal of Applied Statistics 28, no. 3 (2015): 573–81. http://dx.doi.org/10.5351/kjas.2015.28.3.573.

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14

Buffo, A., and V. Alopaeus. "Experimental determination of size distributions: analyzing proper sample sizes." Measurement Science and Technology 27, no. 4 (2016): 045301. http://dx.doi.org/10.1088/0957-0233/27/4/045301.

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15

Torwane, NileshArjun, VenkatRaman Singh, and Ashwini Dayma. "Sample size determination simplified: A review." International Journal of Oral Care and Research 9, no. 3 (2021): 90. http://dx.doi.org/10.4103/injo.injo_19_21.

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16

Asghar, Naseem, Umair Khalil, Dost Muhammad Khan, Zardad Khan, and Iftikhar Ud Din. "Sample Size determination for Censored Data." International Journal of Ayurvedic Medicine 12, no. 2 (2021): 267–69. http://dx.doi.org/10.47552/ijam.v12i3.1859.

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This study aims to describe sample size determination procedure in survival analysis using a real-world example. In this method simulation is used for sample size and precision calculations with censored data that concentrates on various sample sizes involved in carrying out the estimates and precision calculation. The Kaplan-Meier (K-M) estimator is chosen as a point estimator, and the precision measurement focuses on the mean square error, standard error, and confidence limits. Information obtained on the recovery time, in days, of patients from the population are compared with results taken from the sample group. Results showed a cutoff point of sample of size 675 on the basis of mean square error, standard error and confidence limit.
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17

Roshani, Daem, Bijan Nouri, and Masoud Moradi. "Sample size determination in medical researches." Scientific Journal of Kurdistan University of Medical Sciences 25, no. 5 (2020): 104–12. http://dx.doi.org/10.52547/sjku.25.5.104.

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18

Umbach, David M. "On the Determination of Sample Size." Epidemiology 14, no. 2 (2003): 137–38. http://dx.doi.org/10.1097/01.ede.0000044327.46102.64.

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19

Wang, D., A. Bakhai, A. Del Buono, and N. Maffulli. "Sample size determination for clinical research." Muscle Ligaments and Tendons Journal 03, no. 03 (2019): 116. http://dx.doi.org/10.32098/mltj.03.2013.01.

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20

Wickramaratne, Priya J. "Sample size determination in epidemiologic studies." Statistical Methods in Medical Research 4, no. 4 (1995): 311–37. http://dx.doi.org/10.1177/096228029500400404.

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21

Kul, Seval. "SAMPLE SIZE DETERMINATION FOR CLINICAL RESEARCH." Plevra Bulteni 2, no. 2 (2011): 129–32. http://dx.doi.org/10.5152/pb.2011.11.

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22

Shrestha, Niranjan. "Sample size determination in health research." Journal of Health and Allied Sciences 13, no. 2 (2024): I—II. http://dx.doi.org/10.37107/jhas.505.

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23

Medhat M. Elsahookie and A. A. Dawood. "SAMPLE SIZE DETERMINATION FOR AGRONOMIC EXPERIMENTS." IRAQI JOURNAL OF AGRICULTURAL SCIENCES 55, no. 4 (2024): 1574–78. http://dx.doi.org/10.36103/1t2xhr35.

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Determining sample size to estimate the mean value of a target (infinite) population is of prime importance to have correct results and conclusions. In general, sample sizes differ as the studied objects differ. Another factor affect sample size is number of replicates or groups. Small objects, such as seeds, grains, and bacterial cell sizes require in general larger sample sizes as compared to large objects, such as human patients, large animals, and large trees. In this short article, a mixture of 12 crosses, maize kernels (k) were mixed to have 12,000 kernels. Sample sizes of 50,100, 150, 200, 250, and 300k were taken to find out which sample size fits the mean of target population (12,000 k). Sample size of at least 100 k and up gave the best good fit as compared by Chi-square, P=0.10 and 0.05 at one of degree of freedom. This result was on a heterogenous population of different maize crosses kernel sizes. On the other hand, a population of kernels of a maize cross (32x19), as homogenous population was studied by taking sample sizes of 25, 50, 100, 200, 300, 500, and 1000 k. Depending on Chi-square test, sample sizes of 50 and 100 k gave good estimate to the mean value of kernel weight. A previous research by Elsahookie et al (6) studied the best combination of sample sizes and number of replicates to estimate mean value of plant seed yield of maize and sunflower. They found that the best recommended combination was using sample size of 10 plants with 4 replicates. Hertzog (10) reported that sample size should be over 40, while Julious (12) recommended sample size of 12 per group. More studies on other objects of sample sizes are really required.
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24

Lim, Hoi-Jeong. "Sample size determination in dental research." Journal of The Korean Dental Association 52, no. 9 (2014): 558–69. http://dx.doi.org/10.22974/jkda.2014.52.9.004.

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Sample size determination is critical, but not easy to do. Sample size defined as the number of observations in a sample to be studied should be big enough to have a high likelihood of detecting a true difference between groups. Practical procedure for determining sample size, using G*power and previous dental articles, was shown in this study. Examples involving independent t-test, paired t-test, one-way analysis of variance(ANOVA), and one-way repeated-measures(RM) ANOVA were used. The purpose of this study is to enable researchers with non-statistical backgrounds to use in practice freely available statistical software G*power to determine sample size and power.
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25

Bonett, Douglas G. "Sample size determination for p-charts." Journal of Applied Statistics 20, no. 3 (1993): 375–79. http://dx.doi.org/10.1080/02664769300000037.

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26

Zhao, P. L., R. Zambias, J. A. Bolognese, D. Boulton, and K. Chapman. "Sample size determination in combinatorial chemistry." Proceedings of the National Academy of Sciences 92, no. 22 (1995): 10212–16. http://dx.doi.org/10.1073/pnas.92.22.10212.

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27

Motrenko, Anastasiya, Vadim Strijov, and Gerhard-Wilhelm Weber. "Sample size determination for logistic regression." Journal of Computational and Applied Mathematics 255 (January 2014): 743–52. http://dx.doi.org/10.1016/j.cam.2013.06.031.

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28

Edmiston, Charles E., Adele Josephson, Jean Pottinger, Marie Ciacco-Tsivitis, and Charles Palenik. "The numbers game: Sample-size determination." American Journal of Infection Control 21, no. 3 (1993): 151–54. http://dx.doi.org/10.1016/0196-6553(93)90007-q.

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29

Pham-Gia, T., and N. Turkkan. "Sample Size Determination in Bayesian Analysis." Statistician 41, no. 4 (1992): 389. http://dx.doi.org/10.2307/2349003.

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30

Mavridis, Dimitris, and Colin G. G. Aitken. "Sample Size Determination for Categorical Responses." Journal of Forensic Sciences 54, no. 1 (2009): 135–51. http://dx.doi.org/10.1111/j.1556-4029.2008.00920.x.

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31

Chen, S. M., J. T. Liaw, and Y. S. Hsu. "Sample size determination for Cp comparisons." Scientia Iranica 23, no. 6 (2016): 3072–85. http://dx.doi.org/10.24200/sci.2016.4013.

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32

Bienstock, Carol C. "Sample size determination in logistics simulations." International Journal of Physical Distribution & Logistics Management 26, no. 2 (1996): 43–50. http://dx.doi.org/10.1108/09600039610113191.

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33

Macfarlane, Tatiana V. "Sample size determination for research projects." Journal of Orthodontics 30, no. 2 (2003): 99–100. http://dx.doi.org/10.1093/ortho/30.2.99.

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34

Francis, Kennon. "Sample size determination: power in research." Trends in Pharmacological Sciences 6 (January 1985): 350–52. http://dx.doi.org/10.1016/0165-6147(85)90163-4.

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35

Khorshed Alam, M., M. Bhaskara Rao, and Fu-Chih Cheng. "Sample size determination in logistic regression." Sankhya B 72, no. 1 (2010): 58–75. http://dx.doi.org/10.1007/s13571-010-0004-6.

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36

RUSU MOCĂNAȘU, Daniela. "DETERMINING THE SAMPLE SIZE IN QUALITATIVE RESEARCH." International Multidisciplinary Scientific Conference on the Dialogue between Sciences & Arts, Religion & Education 4, no. 1 (2020): 181–87. http://dx.doi.org/10.26520/mcdsare.2020.4.181-187.

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According to most researchers carrying out qualitative researches, adequacy of sample size is a key marker for the research’s quality. However, there is no consensus with respect to the exact size of a proper sample. For some authors, the count of investigated units is irrelevant when they assess the sample size’s adequacy, as they emphasize the abundance of data submitted by the units included in the sample. Other researchers deem the sample size all-important in order to reach reliable outputs and to ensure the reliability of qualitative researches. No clear methods and rules are given for qualitative investigation in order to guide researches in establishing the sample’s proper size. Size determination is a matter of consideration, as the researchers follow various guidelines in order to assess whether their own research sample is proper or not. This paper aims to identify the main external guidelines for a qualitative research project allowing researchers to determine the proper sample size in qualitative research..
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37

Louangrath, P. I. "Sample Size Calculation for Continuous and Discrete Data." International Journal of Research and Methodology in Social Science 5, no. 4 (2019): 44–56. https://doi.org/10.5281/zenodo.3877623.

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The purpose of this paper is to provide a practical guidance to researcher in social science on sample size determination. Sample size calculation is a basic and indispensable requisite for applied research in social science. Most research in social science is about population studies. In population studies, researchers could only study the sample of the population because detailed examination of the population is not feasible. In order for the sample to represent the population, a minimum sample must be obtained. Thus, minimum sample determination becomes a critical requisite in survey collection, interviews, or data collection. In this paper, we present minimum sample calculation methods for continuous and discrete data in non-time series scenarios. The data came from randomly generated values by using Excel command: rand()*100 for test sample sizes of <em>n = 5, 10, 20, 30, 50, 100, 200, 300, 400, 500, </em>and<em> 1,000</em>. We proposed a new minimum sample size method that consistently produces <em>n = 30.</em>
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38

Shiffler, Ronald E., and Arthur J. Adams. "A Correction for Biasing Effects of Pilot Sample Size on Sample Size Determination." Journal of Marketing Research 24, no. 3 (1987): 319. http://dx.doi.org/10.2307/3151643.

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39

Shiffler, Ronald E., and Arthur J. Adams. "A Correction for Biasing Effects of Pilot Sample Size on Sample Size Determination." Journal of Marketing Research 24, no. 3 (1987): 319–21. http://dx.doi.org/10.1177/002224378702400309.

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When a pilot study variance is used to estimate σ2 in the sample size formula, the resulting [Formula: see text] is a random variable. The authors investigate the theoretical behavior of [Formula: see text]. Though [Formula: see text] is more likely to underachieve than overachieve the unbiased n, correction factors to balance the bias are provided.
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40

Willan, Andrew R. "Sample Size Determination for Cost-Effectiveness Trials." PharmacoEconomics 29, no. 11 (2011): 933–49. http://dx.doi.org/10.2165/11587130-000000000-00000.

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41

De Santis, Fulvio. "Sample Size Determination for Robust Bayesian Analysis." Journal of the American Statistical Association 101, no. 473 (2006): 278–91. http://dx.doi.org/10.1198/016214505000000510.

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42

Huang, Zhipeng, and Shein-Chung Chow. "Probability monitoring procedures for sample size determination." Journal of Biopharmaceutical Statistics 29, no. 5 (2019): 887–96. http://dx.doi.org/10.1080/10543406.2019.1657139.

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43

Bristol, David R. "Sample size determination using an interim analysis." Journal of Biopharmaceutical Statistics 3, no. 2 (1993): 159–66. http://dx.doi.org/10.1080/10543409308835057.

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44

Hayat, Matthew J. "Understanding Sample Size Determination in Nursing Research." Western Journal of Nursing Research 35, no. 7 (2013): 943–56. http://dx.doi.org/10.1177/0193945913482052.

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45

Rahme, Elham, and Lawrence Joseph. "Exact sample size determination for binomial experiments." Journal of Statistical Planning and Inference 66, no. 1 (1998): 83–93. http://dx.doi.org/10.1016/s0378-3758(97)00068-2.

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46

Qin, S., and G. E. O. Widera. "Determination of Sample Size in Service Inspection." Journal of Pressure Vessel Technology 119, no. 1 (1997): 57–60. http://dx.doi.org/10.1115/1.2842267.

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When performing inservice inspection on a large volume of identical components, it becomes an almost impossible task to inspect all those in which defects may exist, even if their failure probabilities are known. As a result, an appropriate sample size needs to be determined when setting up an inspection program. In this paper, a probabilistic analysis method is employed to solve this problem. It is assumed that the characteristic data of components has a certain distribution which can be taken as known when the mean and standard deviations of serviceable and defective sets of components are estimated. The sample size can then be determined within an acceptable assigned error range. In this way, both false rejection and acceptance can be avoided with a high degree of confidence.
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47

Zheng, Qi. "Sample size determination for the fluctuation experiment." Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis 795 (January 2017): 10–14. http://dx.doi.org/10.1016/j.mrfmmm.2016.12.001.

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48

Becker, Stan. "Sample size determination in case-control studies." Journal of Chronic Diseases 40, no. 12 (1987): 1141–43. http://dx.doi.org/10.1016/0021-9681(87)90082-8.

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49

Nouh, M. "Stochastic approach to CO sample size determination." Science of The Total Environment 61 (January 1987): 79–89. http://dx.doi.org/10.1016/0048-9697(87)90358-5.

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50

M'Lan, Cyr E., Lawrence Joseph, and David B. Wolfson. "Bayesian sample size determination for binomial proportions." Bayesian Analysis 3, no. 2 (2008): 269–96. http://dx.doi.org/10.1214/08-ba310.

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