Modelling errors in scoring the darkness of staining

T. Paul Hutchinson; Sigurbjorg Gudlaugsdottir

Modelling errors in scoring the darkness of staining

T. Paul Hutchinson^*
, Sigurbjorg Gudlaugsdottir

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

OBJECTIVE: To construct a statistical model for the agreements and disagreements between two observers on darkness of staining. STUDY DESIGN: Data from an earlier observer-agreement study by van Diest et al were reanalyzed. RESULTS: A model in which the random variation in error is permitted to depend upon the true darkness of staining was found to fit the data much better than does one in which the random variation is constant. CONCLUSION: For the dataset analyzed, error tends to be greater (that is, correlation between observers tends to be less) when staining is darker.

Original language	English
Pages (from-to)	121-124
Number of pages	4
Journal	Analytical and Quantitative Cytology and Histology
Volume	24
Issue number	2
Publication status	Published - 2002

Cite this

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title = "Modelling errors in scoring the darkness of staining",

abstract = "OBJECTIVE: To construct a statistical model for the agreements and disagreements between two observers on darkness of staining. STUDY DESIGN: Data from an earlier observer-agreement study by van Diest et al were reanalyzed. RESULTS: A model in which the random variation in error is permitted to depend upon the true darkness of staining was found to fit the data much better than does one in which the random variation is constant. CONCLUSION: For the dataset analyzed, error tends to be greater (that is, correlation between observers tends to be less) when staining is darker.",

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year = "2002",

language = "English",

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T1 - Modelling errors in scoring the darkness of staining

AU - Hutchinson, T. Paul

AU - Gudlaugsdottir, Sigurbjorg

PY - 2002

Y1 - 2002

N2 - OBJECTIVE: To construct a statistical model for the agreements and disagreements between two observers on darkness of staining. STUDY DESIGN: Data from an earlier observer-agreement study by van Diest et al were reanalyzed. RESULTS: A model in which the random variation in error is permitted to depend upon the true darkness of staining was found to fit the data much better than does one in which the random variation is constant. CONCLUSION: For the dataset analyzed, error tends to be greater (that is, correlation between observers tends to be less) when staining is darker.

AB - OBJECTIVE: To construct a statistical model for the agreements and disagreements between two observers on darkness of staining. STUDY DESIGN: Data from an earlier observer-agreement study by van Diest et al were reanalyzed. RESULTS: A model in which the random variation in error is permitted to depend upon the true darkness of staining was found to fit the data much better than does one in which the random variation is constant. CONCLUSION: For the dataset analyzed, error tends to be greater (that is, correlation between observers tends to be less) when staining is darker.

UR - https://www.scopus.com/pages/publications/0036241564

M3 - Article

C2 - 12026050

AN - SCOPUS:0036241564

SN - 0884-6812

VL - 24

SP - 121

EP - 124

JO - Analytical and Quantitative Cytology and Histology

JF - Analytical and Quantitative Cytology and Histology

IS - 2

ER -

Modelling errors in scoring the darkness of staining

Abstract

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