Quantifying rater variation for ordinal data using a rating scale model

Shiqi Zhang; Jørgen Holm Petersen

doi:10.1002/sim.7639

Quantifying rater variation for ordinal data using a rating scale model

Section of Biostatistics

Original language	English
Journal	Statistics in Medicine
Volume	37
Issue number	14
Pages (from-to)	2223-2237
Number of pages	15
ISSN	0277-6715
DOIs	https://doi.org/10.1002/sim.7639
Publication status	Published - 30 Jun 2018

Keywords

breast cancer diagnosis
inter-rater variation
MOR
ordinal regression model
rating scale model

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/sim.7639

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title = "Quantifying rater variation for ordinal data using a rating scale model",

keywords = "breast cancer diagnosis, inter-rater variation, MOR, ordinal regression model, rating scale model",

author = "Shiqi Zhang and Petersen, {J{\o}rgen Holm}",

year = "2018",

month = jun,

day = "30",

doi = "10.1002/sim.7639",

language = "English",

volume = "37",

pages = "2223--2237",

journal = "Statistics in Medicine",

issn = "0277-6715",

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TY - JOUR

T1 - Quantifying rater variation for ordinal data using a rating scale model

AU - Zhang, Shiqi

AU - Petersen, Jørgen Holm

PY - 2018/6/30

Y1 - 2018/6/30

KW - breast cancer diagnosis

KW - inter-rater variation

KW - MOR

KW - ordinal regression model

KW - rating scale model

U2 - 10.1002/sim.7639

DO - 10.1002/sim.7639

M3 - Journal article

SN - 0277-6715

VL - 37

SP - 2223

EP - 2237

JO - Statistics in Medicine

JF - Statistics in Medicine

IS - 14

ER -

Quantifying rater variation for ordinal data using a rating scale model

Keywords

UN SDGs

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