A5022943698- Statistical Methods and Inference
- Advanced Causal Inference Techniques
- Colorectal Cancer Screening and Detection
- Dementia and Cognitive Impairment Research
- Liver Disease Diagnosis and Treatment
- Statistical Methods and Bayesian Inference
- Artificial Intelligence in Healthcare
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Global Maternal and Child Health
- GABA and Rice Research
- Genetic Associations and Epidemiology
- Neurological diseases and metabolism
- Viral gastroenteritis research and epidemiology
- Neurological Disease Mechanisms and Treatments
- Statistical Methods in Clinical Trials
- Statistical Methods and Applications
- Educational Assessment and Pedagogy
- Biomedical Text Mining and Ontologies
- Brain Tumor Detection and Classification
- Genetic factors in colorectal cancer
- Education and Critical Thinking Development
- SARS-CoV-2 and COVID-19 Research
- Sensory Analysis and Statistical Methods
- Meta-analysis and systematic reviews
Barrow Neurological Institute
2024-2025
Arizona State University
2023-2024
Wollo University
2022-2023
UCLouvain
2019-2020
Introduction Modern contraceptive use is important for improving health and socioeconomic outcomes, but Ethiopia among the lowest-using countries. Therefore, this study aimed to determine factors affecting modern women of reproductive age in Ethiopia. Methods This population-based cross-sectional used data obtained from 2019 Mini Demographic Health Survey (EMDHS). A total 8,885 reproductive-age were included analysis. weighted generalized estimating equation approach was account clustering...
Abstract The receiver‐operating characteristic (ROC) curve is the most popular graphical method for evaluating classification accuracy of a diagnostic marker. In time‐to‐event studies, subject's event status time‐dependent, and hence, time‐dependent extensions ROC have been proposed. However, in practice, calculation this not straightforward due to presence censoring that may be different types. Existing methods focus on more standard simple case right‐censoring neglect general mixed...
The prediction reliability is of primary concern in many clinical studies when the objective to develop new predictive models or improve existing risk scores. In fact, before using a model any decision making, it very important check its ability discriminate between subjects who are at of, for example, developing certain disease near future from those will not. To that end, time‐dependent receiver operating characteristic (ROC) curve most commonly used method practice. Several approaches...
Abstract In order to assess prognostic risk for individuals in precision health research, prediction models are increasingly used, which statistical used estimate the of future outcomes based on clinical and nonclinical characteristics. The predictive accuracy a score must be assessed before it can routine decision making, where receiver operator characteristic curves, precision–recall their corresponding area under curves commonly metrics evaluate discriminatory ability continuous score....
Abstract During the last decades, several approaches have been proposed to estimate time‐dependent area under receiver operating characteristic curve (AUC) of risk tools derived from survival data. The validity these estimators relies on some regularity assumptions among which a function being proper. In practice, this assumption is not always satisfied because fraction population may be susceptible experience event interest even for long follow‐up. Studying sensitivity violation substantial...
In clinical trials, evaluating the accuracy of risk scores (markers) derived from prognostic models for prediction survival outcomes is major concern. The time-dependent receiver operating characteristic curve and corresponding area under are appealing measures to evaluate predictive accuracy. Several estimation methods have been proposed in context classical right-censored data which assumes event time individuals independent. many applications, however, this may not hold true if, example,...