Validation of Net Models: Measuring Stability and Discriminatory Power

2019 ◽  
pp. 101-120
Author(s):  
René Michel ◽  
Igor Schnakenburg ◽  
Tobias von Martens
Keyword(s):  
2019 ◽  
Vol 30 (3) ◽  
pp. 157-168
Author(s):  
Helmut Hildebrandt ◽  
Jana Schill ◽  
Jana Bördgen ◽  
Andreas Kastrup ◽  
Paul Eling

Abstract. This article explores the possibility of differentiating between patients suffering from Alzheimer’s disease (AD) and patients with other kinds of dementia by focusing on false alarms (FAs) on a picture recognition task (PRT). In Study 1, we compared AD and non-AD patients on the PRT and found that FAs discriminate well between these groups. Study 2 served to improve the discriminatory power of the FA score on the picture recognition task by adding associated pairs. Here, too, the FA score differentiated well between AD and non-AD patients, though the discriminatory power did not improve. The findings suggest that AD patients show a liberal response bias. Taken together, these studies suggest that FAs in picture recognition are of major importance for the clinical diagnosis of AD.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Pablo Magno da Silveira ◽  
Alexsandra da Silva Bandeira ◽  
Marcus Vinicius Veber Lopes ◽  
Adriano Ferreti Borgatto ◽  
Kelly Samara da Silva

Abstract Background The objective of this study was to verify the reliability, discriminatory power and construct validity of the Kidscreen-27 questionnaire in Brazilian adolescents. Methods Adolescents that participated of the pilot study (210 adolescents; 52.9% boys; 13.7 years old) and of the baseline (816 participants; 52.7% girls; 13.1 years old) of the Movimente Project in 2016/2017 composed the sample of the present study. This project was carried out in six public schools in the city of Florianópolis, Santa Catarina, Brazil. Test–retest reproducibility was assessed by the intraclass correlation coefficient and Gwet coefficient; internal consistency through McDonald's Omega; Hankins' Delta G coefficient verified the scale's discriminatory power and; confirmatory factor analysis to assess construct validity. Results Reproducibility values ranged from 0.71 to 0.78 for the dimensions (ICC), and ranged from 0.60 to 0.83 for the items (Gwet). McDonald's Ômega (0.82–0.91) for internal consistency measures. Discriminatory power ranging from 0.94 for the dimension Social Support and Friends to 0.98 for Psychological Well-Being. The factorial loads were > 0.40, except for item 19 (0.36). The fit quality indicators of the model were adequate (X2[df] = 1022.89 [311], p < 0.001; RMSEA = 0.053 (0.049–0.087); CFI = 0.988; TLI = 0.987), confirming the five-factor structure originally proposed. Conclusions The Brazilian-version Kidscreen-27 achieved good levels of reproducibility, internal consistency, discriminatory power and construct validity. Its use is adequate to measure the health-related quality of life of adolescents in the Brazilian context.


2010 ◽  
Vol 26 (18) ◽  
pp. i453-i459 ◽  
Author(s):  
C. H. z. Siederdissen ◽  
I. L. Hofacker

2012 ◽  
Vol 31 (23) ◽  
pp. 2588-2609 ◽  
Author(s):  
Matthias Schmid ◽  
Sergej Potapov

2016 ◽  
Vol Volume 9 ◽  
pp. 4583-4591 ◽  
Author(s):  
Wen Gao ◽  
likun Hou ◽  
Yu Yang ◽  
Huikang xie ◽  
Yang Yang ◽  
...  

1978 ◽  
Vol 17 (04) ◽  
pp. 227-237 ◽  
Author(s):  
J. Hilden ◽  
J. D. F. Habbema ◽  
B. Bjerregaard

Attention is focused on one important aspect of good performance in probabilistic diagnosis, the »reliability« (external validity) of probabilistic assertions: a diagnostic alternative claimed to be 90% certain, say, must occur neither more nor less than nine times out of ten on the average. Statistical measures are offered by which departures from such perfect reliability can be estimated, and statistical tests are developed in order to test the hypothesis of perfect reliability. The specific reliability defects looked for include overconfident diagnoses and so-called size bias (common diseases being over diagnosed). Reliability is contrasted with discriminatory power and other performance aspects. The illustrative data derive from a study of computer-aided diagnosis of the acute abdomen.


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