Outlier reduction by an option-3 measurement scheme.

Abstract:

:Detecting changes in longitudinal data is important in medical research. However, the existence of measurement outliers can cause an unexpected increase in the false alarm rate in claiming changes. To reduce the outliers, a new method has been developed. In this scheme, two measures are initially taken and, if they are closer than a specified threshold, the average of the two is considered to be the estimate of the true mean; otherwise a third measurement is taken, and the mean of the closest pair is considered to be the estimate. It is shown that this method has considerable sample size advantage over naive repeated measurements. Moreover, this scheme is robust for outlier error distribution. Evidence on outlier removal in dental attachment probing is used as an example.

journal_name

Biometrics

journal_title

Biometrics

authors

Namgung YY,Yang MC

subject

Has Abstract

pub_date

1994-03-01 00:00:00

pages

173-82

issue

1

eissn

0006-341X

issn

1541-0420

journal_volume

50

pub_type

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