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- Williams David N.
- Harvard Medical School, Boston, USA; Department of Orthopedic Surgery, Boston Children's Hospital, Boston, USA
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- Williams Kathryn A.
- Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, USA
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<p>Background: Sample size estimation is an important and integral part of a research protocol. While “how large a sample?” is a simple question, the answer is only meaningful within the context of the research question.</p><p>Methods: Clear definitions of the variable of interest and target population parameters are key to estimating sample size. In turn the sample must be sized such that it can accurately detect the ‘effect’ of interest, adequately represent the target population and maintain maximum design efficiency. Four basic pieces of information are utilized in most sample estimation across all clinical research: significance level, power, magnitude of effect and variability of the variable of interest.</p><p>Results/Discussion: Preliminary determination of these will greatly facilitate work with a biostatistician or a computer application to create a sample size estimation. While applications can support relatively simple sample size calculations consultation with a biostatistician is recommended.</p>
収録刊行物
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- Annals of Nuclear Cardiology
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Annals of Nuclear Cardiology 6 (1), 81-85, 2020
日本心臓核医学会
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詳細情報
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- CRID
- 1390003825209612160
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- NII論文ID
- 130007893646
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- ISSN
- 24241741
- 21893926
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可