A comparison of the validity of two psychiatric screening questionnaires: the Arabic General Health Questionnaire (AGHQ) and Self-Reporting Questionnaire (SRQ-20) in UAE, using Receiver Operating Characteristic (ROC) analysis

2001 ◽  
Vol 16 (2) ◽  
pp. 122-126 ◽  
Author(s):  
R. Ghubash ◽  
T. Daradkeh ◽  
O.F. El-Rufaie ◽  
M.T. Abou-Saleh
Keyword(s):  
Receiver Operating Characteristic ◽  
United Arab Emirates ◽  
General Health ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
General Health Questionnaire ◽  
Health Questionnaire ◽  
Validity Indices ◽  
Self Reporting Questionnaire ◽  
Receiver Operating

AbstractThis study compared the ability of the Arabic General Health questionnaire (AGHQ) and Self-Reporting Questionnaire (SRQ-20) to screen ICD-10 psychiatric disorders in an Arab community in Al Ain, United Arab Emirates. Standardised psychiatric assessments of subjects using the Composite International Diagnostic Interview (CIDI) were carried out. The Receiver Operating Characteristic (ROC) analysis was used to determine validity indices for the AGHQ and SRQ-20. For the AGHQ, sensitivity, specificity and area under the curve (AUC) were 86, 85 and 93% respectively, while for the SRQ-20, validity indices were 83, 83 and 90% respectively. Overall performance of the AGHQ was significantly better than the SRQ-20, especially in males and those under the age of 30 years. We conclude that both questionnaires are valid screening instruments in an Arab community in the UAE.

Validity indices of the General Health Questionnaire among general hospital inpatients

2011 ◽  
Vol 38 (S 01) ◽  
Author(s):  
F Friedrich ◽  
R Alexandrowicz ◽  
N Benda ◽  
G Cerny ◽  
J Wancata
Keyword(s):  
General Hospital ◽  
General Health ◽  
General Health Questionnaire ◽  
Health Questionnaire ◽  
Validity Indices ◽  
Hospital Inpatients

scholarly journals Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Cheng-Hong Yang ◽  
Sin-Hua Moi ◽  
Li-Yeh Chuang ◽  
Shyng-Shiou F. Yuan ◽  
Ming-Feng Hou ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Receiver Operating Characteristic ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Growth Factor Receptor ◽  
Cancer Recurrence ◽  
Breast Cancer Recurrence ◽  
Prognostic Indicators ◽  
Clinicopathologic Characteristics ◽  
Receiver Operating

The interaction between the meiotic recombination 11 homolog A (MRE11) oncoprotein and breast cancer recurrence status remains unclear. The aim of this study was to assess the interaction between MRE11 and clinicopathologic variables in breast cancer. A dataset for 254 subjects with breast cancer (220 nonrecurrent and 34 recurrent) was used in individual and cumulated receiver operating characteristic (ROC) analyses of MRE11 and 12 clinicopathologic variables for predicting breast cancer recurrence. In individual ROC analysis, the area under curve (AUC) for each predictor of breast cancer recurrence was smaller than 0.7. In cumulated ROC analysis, however, the AUC value for each predictor improved. Ten relevant variables in breast cancer recurrence were used to find the optimal prognostic indicators. The presence of any six of the following ten variables had a high (79%) sensitivity and a high (70%) specificity for predicting breast cancer recurrence: tumor size ≥ 2.4 cm, tumor stage II/III, therapy other than hormone therapy, age ≥ 52 years, MRE11 positive cells > 50%, body mass index ≥ 24, lymph node metastasis, positivity for progesterone receptor, positivity for epidermal growth factor receptor, and negativity for estrogen receptor. In conclusion, this study revealed that these 10 clinicopathologic variables are the minimum discriminators needed for optimal discriminant effectiveness in predicting breast cancer recurrence.

scholarly journals Bayesian Sensitivity-Specificity and ROC Analysis for Finding Key Drivers

2021 ◽  
Vol 19 (1) ◽  
pp. 2-15
Author(s):  
Stan Lipovetsky ◽  
Michael W. Conklin
Keyword(s):  
Receiver Operating Characteristic ◽  
Statistical Modeling ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Regression Modeling ◽  
Modeling And Analysis ◽  
Numerical Comparisons ◽  
Key Drivers ◽  
Sensitivity Specificity ◽  
Receiver Operating

Finding key drivers in regression modeling via Bayesian Sensitivity-Specificity and Receiver Operating Characteristic is suggested, and clearly interpretable results are obtained. Numerical comparisons with other techniques show that this methodology can be useful in practical statistical modeling and analysis helping to researchers and managers in making meaningful decisions.

A study of the validity of the scaled version of the General Health Questionnaire in paralysed spinally injured out-patients

1993 ◽  
Vol 23 (2) ◽  
pp. 497-504 ◽  
Author(s):  
T. C. Griffiths ◽  
D. H. Myers ◽  
A. W. Talbot
Keyword(s):  
Confidence Interval ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
General Health Questionnaire ◽  
Misclassification Rate ◽  
Health Questionnaire ◽  
The West ◽  
Interview Schedule ◽  
Relative Operating Characteristic ◽  
West Midlands

SynopsisThis study validates the GHQ-28 on a sample of paralysed, spinally injured outpatients under the care of the West Midlands Spinal Injuries Unit. The validity of the GHQ-28 was 0·83 (95% confidence interval: 0·70 to 0·93) using the Clinical Interview Schedule (CIS) as the validating criterion. The effectiveness of the GHQ-28 as a screening instrument using CIS 11/12 as case criterion, and thus a prevalence rate of 0·18, was judged by relative operating characteristic (ROC) analysis. The area under the ROC curve was 0·91±0·03. “Optimum’ discrimination occurred near GHQ 3/4 (0011 scoring scheme) giving a sensitivity of 0·81, a specificity of 0·82 and a misclassification rate of 18%.

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