2015
DOI: 10.1016/j.siny.2015.10.001
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Design and conduct of a large obstetric or neonatal randomized controlled trial

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Cited by 17 publications
(7 citation statements)
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“…60,61 Multi-site clinical trials are one solution to this problem. 62 Comparative effectiveness research studies, in which common data elements from many clinical sites are systematically collected, are appearing in CP research and could offer another solution to the methodological challenge of small sample sizes. 63 Other important sample characteristics, such as the ages when infants were recruited, ages at final assessment, and accurate identification of infants with CP, varied considerably among the studies, which made it challenging to compare results across studies.…”
Section: Sample Characteristicsmentioning
confidence: 99%
“…60,61 Multi-site clinical trials are one solution to this problem. 62 Comparative effectiveness research studies, in which common data elements from many clinical sites are systematically collected, are appearing in CP research and could offer another solution to the methodological challenge of small sample sizes. 63 Other important sample characteristics, such as the ages when infants were recruited, ages at final assessment, and accurate identification of infants with CP, varied considerably among the studies, which made it challenging to compare results across studies.…”
Section: Sample Characteristicsmentioning
confidence: 99%
“…The recent call for large cluster or cross-over cluster randomized trials in which the NICU is randomized rather than the infant is particularly applicable to probiotics and NEC. 103 …”
Section: Mechanisms Of Actionmentioning
confidence: 99%
“…Because of ethical concerns, safety data for analgesic use in pregnancy is largely limited to animal studies or observational studies in humans, and thus may be confounded by selection bias, and exposure or outcome misclassification . Many obstetric studies also have methodological issues, such as low recruitment rates and inadequate sample sizes, which may limit their feasibility and external validity . Safety data must therefore be interpreted carefully, which can be challenging for the busy clinician.…”
Section: Introductionmentioning
confidence: 99%