Mithat Gönen
Biographic Data
| ID | 7554893 |
|---|---|
| NAME | Mithat Gönen |
| GIVEN NAMES | Mithat |
| FAMILY NAME | Gönen |
| SIGNATURE | GÖNEN M |
| AFFILIATIONS | Memorial Sloan Kettering Cancer Center |
| ORCID | 0000-0001-8683-8477 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2011 |
| H-INDEX | 0 |
Reliability of adverse symptom event reporting by clinicians
Assessing the Performance of Prediction Models
The performance of prediction models can be assessed using a variety of methods and metrics. Traditional measures for binary and survival outcomes include the Brier score to indicate overall model performance, the concordance (or c) statistic for discriminative ability (or area under the receiver operating characteristic [ROC] curve), and goodness-of-fit statistics for calibration.Several new measures have recently been proposed that can be seen …
Optimal waist
Objective To identify the optimal waist:height ratio (WHtR) cut-off point that discriminates cardiometabolic risk factors in Turkish adults. Design Cross-sectional study. Hypertension, dyslipidaemia, diabetes, metabolic syndrome score ≥2 (presence of two or more metabolic syndrome components except for waist circumference) and at least one risk factor (diabetes, hypertension or dyslipidaemia) were categorical outcome variables. Receiver-operating…
Anthropometric indices and their relationship with cardiometabolic risk factors in a sample of Turkish adults
Objective To identify the best anthropometric index that predicts cardiometabolic risk factors. Design and setting Cross-sectional study in Turkey, in 2003. Subjects Turkish men and women aged 18 years and over ( n 1692) were examined. Body weight, height, waist and hip circumferences, blood pressure, total cholesterol, HDL cholesterol, TAG, glucose and insulin were measured. Metabolic syndrome score was calculated as the sum of modified National…
No prominent works on this page.
Anthropometric indices and their relationship with cardiometabolic risk factors in a sample of Turkish adults
Objective To identify the best anthropometric index that predicts cardiometabolic risk factors. Design and setting Cross-sectional study in Turkey, in 2003. Subjects Turkish men and women aged 18 years and over ( n 1692) were examined. Body weight, height, waist and hip circumferences, blood pressure, total cholesterol, HDL cholesterol, TAG, glucose and insulin were measured. Metabolic syndrome score was calculated as the sum of modified National…
Assessing the Performance of Prediction Models
The performance of prediction models can be assessed using a variety of methods and metrics. Traditional measures for binary and survival outcomes include the Brier score to indicate overall model performance, the concordance (or c) statistic for discriminative ability (or area under the receiver operating characteristic [ROC] curve), and goodness-of-fit statistics for calibration.Several new measures have recently been proposed that can be seen …
Optimal waist
Objective To identify the optimal waist:height ratio (WHtR) cut-off point that discriminates cardiometabolic risk factors in Turkish adults. Design Cross-sectional study. Hypertension, dyslipidaemia, diabetes, metabolic syndrome score ≥2 (presence of two or more metabolic syndrome components except for waist circumference) and at least one risk factor (diabetes, hypertension or dyslipidaemia) were categorical outcome variables. Receiver-operating…
Reliability of adverse symptom event reporting by clinicians
Medicine (4 works) · Internal Medicine (3 works) · Mathematics (2 works) · Obesity (2 works) · Obesity, Physical Activity, Diet (2 works) · Waist (2 works) · Waist-to-height ratio (2 works) · Adverse effect (1 works) · Anthropometry (1 works) · Artificial Intelligence (1 works)