PMC:4875991 / 14986-15994 JSONTXT

{"project":"MyTest","denotations":[{"id":"27242911-12204303-29597001","span":{"begin":480,"end":483},"obj":"12204303"},{"id":"27242911-17658273-29597002","span":{"begin":485,"end":488},"obj":"17658273"},{"id":"27242911-21856431-29597003","span":{"begin":599,"end":602},"obj":"21856431"}],"namespaces":[{"prefix":"_base","uri":"https://www.uniprot.org/uniprot/testbase"},{"prefix":"UniProtKB","uri":"https://www.uniprot.org/uniprot/"},{"prefix":"uniprot","uri":"https://www.uniprot.org/uniprotkb/"}],"text":"4.1. Sample Size\nThe appropriate sample size is important for designing an acupuncture-neuroimaging study. Bigger sample size increases statistical power because the standard error of the mean decreases by the square root of number (N). Due to the potential radioactivity (PET/SPECT) and the costs of imaging, the sample size in most of the neuroimaging studies was small. Some investigators suggested that 12 to 15 subjects per group could get statistical power in fMRI studies [177, 178]. Others held that the method should ensure large sample size to use rigorous corrections for multiple tests [179]. In this study, we found that the average sample size was 15 participants per group, and the average sample size for patients was slightly bigger than that for healthy subjects (16 versus 14 per group). Nowadays, most investigators agreed that, to achieve the stable statistical power, bigger sample size (at least 20 participants per group) was needed in the future acupuncture-neuroimaging study [180]."}

{"project":"2_test","denotations":[{"id":"27242911-12204303-29597001","span":{"begin":480,"end":483},"obj":"12204303"},{"id":"27242911-17658273-29597002","span":{"begin":485,"end":488},"obj":"17658273"},{"id":"27242911-21856431-29597003","span":{"begin":599,"end":602},"obj":"21856431"}],"text":"4.1. Sample Size\nThe appropriate sample size is important for designing an acupuncture-neuroimaging study. Bigger sample size increases statistical power because the standard error of the mean decreases by the square root of number (N). Due to the potential radioactivity (PET/SPECT) and the costs of imaging, the sample size in most of the neuroimaging studies was small. Some investigators suggested that 12 to 15 subjects per group could get statistical power in fMRI studies [177, 178]. Others held that the method should ensure large sample size to use rigorous corrections for multiple tests [179]. In this study, we found that the average sample size was 15 participants per group, and the average sample size for patients was slightly bigger than that for healthy subjects (16 versus 14 per group). Nowadays, most investigators agreed that, to achieve the stable statistical power, bigger sample size (at least 20 participants per group) was needed in the future acupuncture-neuroimaging study [180]."}