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Université de Montréal Phénotypage computationnel de l'interaction ...

We used the total score of the SCARED which has a cutoff score indicating if the child is at risk or not of having an anxiety-related disorder. Research has ...



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Results are firstly thresholded with an uncorrected p-value threshold of 0.005 correction. Then, family-wise error rate correction (FWER) for multiple 
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The AUDIT questionnaire: choosing a cut-off score. Addiction. 1995;90(10):1349-56. DOI: 10.1111/j.1360-0443.1995.tb03552.x. 126. Monestès J-L 
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The family-wise error correction (FWE) with a cutoff of P < 0.05 was used for the one-sample t-test, and a minimum cluster size of 30 voxels 
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tout examen IRM de routine, le technicien IRM a (score V1 : 23,17 ; score V4 : 3,08 ; p<0.001) et (ii) https://doi.org/10.1016/j.bpsc.2015.09.001.
la revue - Société Française d'Alcoologie
Cut-off : Scores ? 8 correspondant à un usage dangereux (Babor & Higgins-Biddle, 2001). Cut-off utilisé pour caractériser le BD (par exemple,. Palfai 
_Beck+Dissertation+2022.pdf - kluedo
Figure 14: Results of prior rating test cut, rule-based system in. HF-ASD. This raises the question of whether an intervention program tailored to train 
Phenotypical exploration and predictive utility of formal thought ...
highest prediction strength over the cut off value 0.80 was chosen as an optimal number of Furthermore, removing the PANSS total score correction from the 
SSIEE 2022 - KTPE
<https://www.electronicshub.org/esp32-vs-esp8266/ >. [6] Last Minutes Engineers, ?How Servo Motor Works & Interface It With. Arduino? [Online],. <https 
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This is the hands-on guide to what you need to know that answers questions like: So what do I do with all this web data? How do I use all these reports? How do 
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15. Villeneuve (Can) 6. Constructeurs: I. Renault 89. 2. McLa- ren-Mercedes 71. 3. Ferrari 69. 4. Toyota 53. 5. BMW-Williams 47. 6. Red. Bull 
Un bonhomme et une finale de légende - RERO DOC
15. Villeneuve (Can) 6. Constructeurs: 1. Renault 89. 2. McLa- ren-Mercedes 71. 3. Ferrari 69. 4. Toyota 53. 5. BMW-Williams 47. 6. Red. Bull 
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