A5069236192- Statistical Methods in Clinical Trials
- Machine Learning in Healthcare
- Statistical Methods and Inference
- Maternal Mental Health During Pregnancy and Postpartum
- Neuroscience and Music Perception
- Children's Physical and Motor Development
- Schizophrenia research and treatment
- Mental Health Research Topics
- Multisensory perception and integration
- Attention Deficit Hyperactivity Disorder
- Biomedical Text Mining and Ontologies
- Genetics and Neurodevelopmental Disorders
- Pharmacological Effects and Toxicity Studies
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Bayesian Methods and Mixture Models
- Autism Spectrum Disorder Research
- Insurance, Mortality, Demography, Risk Management
- Child and Adolescent Psychosocial and Emotional Development
- Statistical Methods and Bayesian Inference
- Epilepsy research and treatment
- Behavioral and Psychological Studies
- Functional Brain Connectivity Studies
- Bioinformatics and Genomic Networks
- Virology and Viral Diseases
Columbia University
2013-2018
NYU Langone Health
2012
New York University
2011-2012
<h3>Context</h3>Best-estimate clinical diagnoses of specific autism spectrum disorders (autistic disorder, pervasive developmental disorder–not otherwise specified, and Asperger syndrome) have been used as the diagnostic gold standard, even when information from standardized instruments is available.<h3>Objective</h3>To determine whether relationships between behavioral phenotypes different vary across 12 university-based sites.<h3>Design</h3>Multisite observational study collecting...
The study compared the efficacy of 2 behavioral interventions to ameliorate organization, time management, and planning (OTMP) difficulties in 3rd- 5th-grade children with attention-deficit/hyperactivity disorder (ADHD).In a dual-site randomized controlled trial, 158 were assigned organizational skills training (OST; N = 64); PATHKO, performance-based intervention that precluded (N 61); or wait-list control (WL, 33). Treatments 20 individual clinic-based sessions over 10-12 weeks. OST...
The development of screening instruments for psychiatric disorders involves item selection from a pool items in existing questionnaires assessing clinical and behavioral phenotypes. A instrument should consist only few have good accuracy classifying cases non-cases. Variable/item methods such as Least Absolute Shrinkage Selection Operator (LASSO), Elastic Net, Classification Regression Tree, Random Forest, the two-sample t-test can be used context. Unlike situations where variable are most...
Predicting health outcomes from longitudinal histories is of central importance to healthcare. Observational healthcare databases such as patient diary provide a rich resource for patient-level predictive modeling. In this paper, we propose Bayesian hierarchical vector autoregressive (VAR) model predict medical and psychological conditions using multivariate time series data. Compared the existing patient-specific VAR models, our demonstrated higher accuracy in predicting future observations...