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Intraclass correlations: uses in assessing rater reliability.
Reliability coefficients often take the form of intraclass correlation coefficients. In this article, guidelines are given for choosing among six different forms of the intraclass correlation for… Expand
Statistical Methods for Rates and Proportions.
The design and analysis of clinical experiments
- J. Fleiss
- 1 December 1987
Reliability of Measurement. Simple Linear Regression Analysis. The Parallel Groups Design. Special Cases of the Parallel Groups Study. Blocking to Control for Prognostic Variables. Stratification to… Expand
Statistical methods for rates and proportions
- J. Fleiss
- Medicine, Mathematics
An Introduction to Applied Probability: The Basic Theory of Maximum Likelihood Estimation and Answers to Selected Problems. Expand
The global assessment scale. A procedure for measuring overall severity of psychiatric disturbance.
- J. Endicott, R. Spitzer, J. Fleiss, J. Cohen
- Psychology, Medicine
- Archives of general psychiatry
- 1 June 1976
The relative simplicity, reliability, and validity of the GAS suggests that it would be useful in a wide variety of clinical and research settings. Expand
The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of Reliability
or weighted kappa (Spitzer, Cohen, Fleiss and Endicott, 1967; Cohen, 1968a). Kappa is the proportion of agreement corrected for chance, and scaled to vary from -1 to +1 so that a negative value… Expand
Large sample standard errors of kappa and weighted kappa.
The statistics kappa (Cohen, 1960) and weighted kappa (Cohen, 1968) were introduced to provide coefficients of agreement between two raters for nominal scales. Kappa is appropriate when all… Expand
Frequency Domain Measures of Heart Period Variability and Mortality After Myocardial Infarction
- J. Bigger, J. Fleiss, R. Steinman, L. Rolnitzky, R. Kleiger, J. Rottman
- 1 January 1992
The relation between the heart period variability measures and all-cause mortality, cardiac death, and arrhythmic death before and after adjusting for five previously established postinfarction risk predictors is explored. Expand