Homogeneity test of ratio of two proportions in stratified bilateral data
T Zhuang, GL Tian, CX Ma - Statistics in Biopharmaceutical …, 2019 - Taylor & Francis
Homogeneity is a nonnegligible condition in the statistical analysis of the stratified bilateral
data. The correlation between responses from two paired body parts should be taken into …
data. The correlation between responses from two paired body parts should be taken into …
A unified approach for assessing agreement for continuous and categorical data
L Lin, AS Hedayat, W Wu - Journal of biopharmaceutical statistics, 2007 - Taylor & Francis
This paper proposes several Concordance Correlation Coefficient (CCC) indices to
measure the agreement among k raters, with each rater having multiple (m) readings from …
measure the agreement among k raters, with each rater having multiple (m) readings from …
Dispersion-weighted kappa: An integrative framework for metric and nominal scale agreement coefficients
C Schuster, DA Smith - Psychometrika, 2005 - Springer
The rater agreement literature is complicated by the fact that it must accommodate at east
two different properties of rating data: the number of raters (two versus more than two) and …
two different properties of rating data: the number of raters (two versus more than two) and …
Robustness of ‐type coefficients for clinical agreement
A Vanacore, MS Pellegrino - Statistics in Medicine, 2022 - Wiley Online Library
The degree of inter‐rater agreement is usually assessed through κ‐type coefficients and the
extent of agreement is then characterized by comparing the value of the adopted coefficient …
extent of agreement is then characterized by comparing the value of the adopted coefficient …
[HTML][HTML] Power estimation of tests in log-linear non-uniform association models for ordinal agreement
F Valet, JY Mary - BMC Medical Research Methodology, 2011 - Springer
Background Log-linear association models have been extensively used to investigate the
pattern of agreement between ordinal ratings. In 2007, log-linear non-uniform association …
pattern of agreement between ordinal ratings. In 2007, log-linear non-uniform association …
Assessing agreement between two methods of quantitative measurements: Exact test procedure and sample size calculation
G Shieh - Statistics in Biopharmaceutical Research, 2020 - Taylor & Francis
Assessment of agreement between measurement methods is an important problem in
medical practice and research. Several two one-sided tests (TOST) procedures have been …
medical practice and research. Several two one-sided tests (TOST) procedures have been …
Confidence intervals for the interrater agreement measure kappa
VF Flack - Communications in Statistics-Theory and Methods, 1987 - Taylor & Francis
The asympotic normal approximation to the distribution of the estimated measure [kcirc] for
evaluating agreement between two raters has been shown to perform poorly for small …
evaluating agreement between two raters has been shown to perform poorly for small …
[PDF][PDF] Updated Guidelines on Selecting an ICC for Interrater Reliability: With Applications to Incomplete Observational Designs
D ten Hove, TD Jorgensen, LA van der Ark - 2022 - researchgate.net
Several intraclass correlation coefficients (ICCs) are available to assess the interrater
reliability (IRR) of observational measurements. Selecting an ICC is complicated, and …
reliability (IRR) of observational measurements. Selecting an ICC is complicated, and …
New lower bound for Lee discrepancy of asymmetrical factorials
L Hu, K Chatterjee, J Liu, Z Ou - Statistical Papers, 2020 - Springer
Lee discrepancy has wide applications in design of experiments, which can be used to
measure the uniformity of fractional factorials. An improved lower bound of Lee discrepancy …
measure the uniformity of fractional factorials. An improved lower bound of Lee discrepancy …
Tests of goodness of fit based on Phi-divergence
H Alizadeh Noughabi… - Journal of Applied Statistics, 2016 - Taylor & Francis
In this paper, we introduce a general goodness of fit test based on Phi-divergence.
Consistency of the proposed test is established. We then study some special cases of tests …
Consistency of the proposed test is established. We then study some special cases of tests …