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Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...

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拡大鏡 の 下 の 微循環: 分析 が 間違っ た 時

Arnaldo Dubin1

  • 1Servicio de Terapia Intensiva Sanatorio Otamendi y Miroli Ciudad Autónoma de Buenos Aires, Argentina Cátedras de Terapia Intensiva y Farmacología Aplicada Facultad de Ciencias Médicas Universidad Nacional de La Plata La Plata, Argentina Laboratorio de Investigación Traslacional Hospital Interzonal General de Agudos "Gral San Martín" La Plata, Argentina arnaldodubin@gmail.com.

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