The Design and Analysis of Clinical Experiments

Fleiss, Joseph L.

doi:10.1002/9781118032923

Cited by 1,623 publications

(1,872 citation statements)

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“…Cohen's kappa (K) coefficients with 95% confidence intervals (CI) were calculated to determine both intraand inter-tester reliability. Specifically, mean Cohen's K coefficients were calculated between the two examiners for the complete battery of cMCD tests and for each test (Fleiss, 1986).…”

Section: Discussionmentioning

confidence: 99%

Inter-and intra-tester reliability of a battery of cervical movement control dysfunction tests

Segarra¹,

Dueñas

Torres

et al. 2015

Manual Therapy

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Please cite this article as: Segarra V, Dueñas L, Torres R, Falla D, Jull G, Lluch E, Inter-and intratester reliability of a battery of cervical movement control dysfunction tests, Manual Therapy (2015), doi: 10.1016/j.math.2015.01.007. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Section: Discussionmentioning

confidence: 99%

Inter-and intra-tester reliability of a battery of cervical movement control dysfunction tests

Segarra¹,

Dueñas

Torres

et al. 2015

Manual Therapy

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“…The relationship between a single short-term measurement and the long-term (year-long) mean of that measurement was evaluated with the ''intraclass correlation coefficient of reliability'' (r r ) by the following equation (Fleiss, 1985):…”

Section: Discussionmentioning

confidence: 99%

“…Once r r was estimated, and then the number of random measurements per subject (m) necessary to achieve a desired reliability of the mean (r r,m ) of 0.80 was determined by the following equation (Fleiss, 1985):…”

Section: Discussionmentioning

confidence: 99%

Determinants of temporal variability in NHEXAS-Maryland environmental concentrations, exposures, and biomarkers

Egeghy

Quackenboss

Catlin

et al. 2004

J Expo Sci Environ Epidemiol

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The longitudinal NHEXAS-Maryland study measured metals, PAHs, and pesticides in several media to capture temporal variability. Questionnaires were concurrently administered to identify factors that influenced changes in contaminant levels over time. We constructed mixed-effects regression models for lead, phenanthrene, and chlorpyrifos (including metabolites) in indoor air, dust, dermal wipes, and biological fluids. Significant predictors represented time-varying activities as well as unchanging housing and demographic factors. There was little overlap among the models, with predictors generally reflecting the diverse characteristics of the target compounds. We estimated between-and within-person variance components to evaluate the reliability of the measurements. While only one measurement of lead in blood or chlopyrifos in dust was needed for a dependable estimate of an individual's average level, three to eight measurements were needed for most other compound/exposure medium combinations because of considerable temporal variability. Measurements in biological fluids and dust were generally more consistent than those in indoor air. The significant covariates in the full models preferentially reduced the between-person variance component. Since the regression models explained only 1-37% of the within-person variance, the questionnaires in this study provided only modest insight into the factors responsible for the temporal variability in the contaminant levels.

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“…Since the MBIM 123 technique provide continuous joint angle time histories, ICCs with two-way mixed 124 model average measures were calculated to evaluate reliability (Hopkins, 2000). Fleiss (1986) suggested that an ICC coefficient of >0.75 was considered as evidence 126 of good agreement. However, in the present study, we defined that an ICC coefficient 127 of >0.90 was required to achieve excellent reliability.…”

Section: Statistical Analysis 118mentioning

confidence: 99%

An ankle joint model-based image-matching motion analysis technique

Mok¹,

Fong²,

Krosshaug³

et al. 2011

Gait & Posture

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1This study presented a model-based image-matching (MBIM) motion analysis 2 technique for ankle joint kinematic measurement. Five cadaveric below-hip 3 specimens were manipulated through a full range of ankle joint motions in bare-foot 4 and shoed conditions. The ankle motions were analyzed by bone-pin marker-based 5 motion analysis and MBIM motion analysis techniques respectively. The root mean 6 square errors of all angles of motion were less than 3 degrees. The average Intraclass 7Correlation Coefficients (ICCs) for the intra-rater reliability were greater than 0.928 8 and the average ICCs for the inter-rater reliability were greater than 0.948 for all 9 ranges of motion. Excellent validity, intra-rater reliability and inter-rater reliability 10 were achieved for the MBIM technique in both bare-foot and shoed conditions. The 11 MBIM technique can therefore provide good estimates of ankle joint kinematics. 12 13

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The Design and Analysis of Clinical Experiments

Cited by 1,623 publications

References 0 publications

Inter-and intra-tester reliability of a battery of cervical movement control dysfunction tests

Inter-and intra-tester reliability of a battery of cervical movement control dysfunction tests

Determinants of temporal variability in NHEXAS-Maryland environmental concentrations, exposures, and biomarkers

An ankle joint model-based image-matching motion analysis technique

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