Accurate Multiscale Skin Model Suitable for Determining the Sensitivity and Specificity of Changes of Skin Components

2014 ◽  
pp. 353-393 ◽  
Author(s):  
Jürg Fröhlich ◽  
Sonja Huclova ◽  
Christian Beyer ◽  
Daniel Erni
Keyword(s):  
Sensitivity And Specificity ◽  
Skin Model

Applying Item Response Theory Modeling to Identify Social (Pragmatic) Communication Disorder

2020 ◽  
Vol 63 (6) ◽  
pp. 1916-1932 ◽  
Author(s):  
Haiying Yuan ◽  
Christine Dollaghan
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Sensitivity And Specificity ◽  
Social Communication ◽  
National Database ◽  
Communication Disorder ◽  
Social Communication Questionnaire ◽  
Autism Research ◽  
The Social ◽  
Pragmatic Communication

Purpose No diagnostic tools exist for identifying social (pragmatic) communication disorder (SPCD), a new Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition category for individuals with social communication deficits but not the repetitive, restricted behaviors and interests (RRBIs) that would qualify them for a diagnosis of autism spectrum disorder (ASD). We explored the value of items from a widely used screening measure of ASD for distinguishing SPCD from typical controls (TC; Aim 1) and from ASD (Aim 2). Method We applied item response theory (IRT) modeling to Social Communication Questionnaire–Lifetime ( Rutter, Bailey, & Lord, 2003 ) records available in the National Database for Autism Research. We defined records from putative SPCD ( n = 54), ASD ( n = 278), and TC ( n = 274) groups retrospectively, based on National Database for Autism Research classifications and Autism Diagnostic Interview–Revised responses. After assessing model assumptions, estimating model parameters, and measuring model fit, we identified items in the social communication and RRBI domains that were maximally informative in differentiating the groups. Results IRT modeling identified a set of seven social communication items that distinguished SPCD from TC with sensitivity and specificity > 80%. A set of five RRBI items was less successful in distinguishing SPCD from ASD (sensitivity and specificity < 70%). Conclusion The IRT modeling approach and the Social Communication Questionnaire–Lifetime item sets it identified may be useful in efforts to construct screening and diagnostic measures for SPCD.

IgA-antitissue transglutaminase: Sensitivity and specificity for diagnosing Celiac Disease

2001 ◽  
Vol 120 (5) ◽  
pp. A395-A395
Author(s):  
J WEST ◽  
A LLOYD ◽  
P HILL ◽  
G HOLMES
Keyword(s):  
Celiac Disease ◽  
Sensitivity And Specificity

Detector-C: A Blood-based IVD with High Sensitivity and Specificity for Early Detection and Screening of Colorectal Cancer

2010 ◽  
Vol 48 (08) ◽  
Author(s):  
A Rosenthal ◽  
H Köppen ◽  
R Musikowski ◽  
R Schwanitz ◽  
J Behrendt ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Early Detection ◽  
Sensitivity And Specificity ◽  
High Sensitivity

How to Correct for Chance Agreement in the Estimation of Sensitivity and Specificity of Diagnostic Tests

1994 ◽  
Vol 33 (02) ◽  
pp. 180-186 ◽  
Author(s):  
H. Brenner ◽  
O. Gefeller
Keyword(s):  
Sensitivity And Specificity ◽  
Disease Status ◽  
Disease Prevalence ◽  
Small Sample ◽  
Small Samples ◽  
Interval Estimate ◽  
Traditional Concept ◽  
Interval Estimates ◽  
Major Disadvantage ◽  
Test Result

Abstract:The traditional concept of describing the validity of a diagnostic test neglects the presence of chance agreement between test result and true (disease) status. Sensitivity and specificity, as the fundamental measures of validity, can thus only be considered in conjunction with each other to provide an appropriate basis for the evaluation of the capacity of the test to discriminate truly diseased from truly undiseased subjects. In this paper, chance-corrected analogues of sensitivity and specificity are presented as supplemental measures of validity, which pay attention to the problem of chance agreement and offer the opportunity to be interpreted separately. While recent proposals of chance-correction techniques, suggested by several authors in this context, lead to measures which are dependent on disease prevalence, our method does not share this major disadvantage. We discuss the extension of the conventional ROC-curve approach to chance-corrected measures of sensitivity and specificity. Furthermore, point and asymptotic interval estimates of the parameters of interest are derived under different sampling frameworks for validation studies. The small sample behavior of the estimates is investigated in a simulation study, leading to a logarithmic modification of the interval estimate in order to hold the nominal confidence level for small samples.

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