A5081829649- Meta-analysis and systematic reviews
- Schizophrenia research and treatment
- Statistical Methods in Clinical Trials
- Anesthesia and Sedative Agents
- Advanced Statistical Methods and Models
- Analytical Methods in Pharmaceuticals
- Treatment of Major Depression
- Health Systems, Economic Evaluations, Quality of Life
- Advanced Causal Inference Techniques
- Mental Health and Psychiatry
- Statistical Methods and Bayesian Inference
- Analytical Chemistry and Chromatography
- Statistical Methods and Inference
- Diverse Approaches in Healthcare and Education Studies
- Epilepsy research and treatment
- Advanced Statistical Modeling Techniques
- Functional Brain Connectivity Studies
- Infection Control in Healthcare
- Poisoning and overdose treatments
- Cardiac, Anesthesia and Surgical Outcomes
- Obsessive-Compulsive Spectrum Disorders
- Hemodynamic Monitoring and Therapy
- Delphi Technique in Research
- Electroconvulsive Therapy Studies
- Veterinary Pharmacology and Anesthesia
Biostat (United States)
2010-2024
Barro Colorado Island
2024
University of Michigan–Ann Arbor
2020
Sidney Kimmel Comprehensive Cancer Center
2020
Johns Hopkins University
2020
VA Center for Clinical Management Research
2020
University of Freiburg
2020
St. Joseph’s Healthcare Hamilton
2020
Population Health Research Institute
2020
Hamilton Health Sciences
2020
There are two popular statistical models for meta-analysis, the fixed-effect model and random-effects model. The fact that these employ similar sets of formulas to compute statistics, sometimes yield estimates various parameters, may lead people believe interchangeable. In fact, though, represent fundamentally different assumptions about data. selection appropriate is important ensure statistics estimated correctly. Additionally, more fundamentally, serves place analysis in context. It...
When we speak about heterogeneity in a meta‐analysis, our intent is usually to understand the substantive implications of heterogeneity. If an intervention yields mean effect size 50 points, want know if different populations varies from 40 60, or 10 90, because this speaks potential utility intervention. While there common belief that I 2 statistic provides information, it actually does not. In example, are told 50%, have no way knowing effects range across some other range. Rather,...
This study examined the pathomorphology of caudate nuclei in first-episode schizophrenic patients with minimal previous neuroleptic exposure.Magnetic resonance imaging (MRI) brain was used to examine longitudinally 29 and 10 healthy comparison subjects. MRI scans were obtained after subjects entered at 18-month follow-up. The treated standardized regimens during period. Volumetric assessments cerebral cortex, lateral ventricles, performed on T1-weighted coronal sections. In addition,...
<h3>BACKGROUND:</h3> Most randomized controlled trials (RCTs) and meta-analyses of RCTs examine effect modification (also called a subgroup or interaction), in which the an intervention varies by another variable (e.g., age disease severity). Assessing credibility apparent presents challenges; therefore, we developed Instrument for assessing Credibility Effect Modification Analyses (ICEMAN). <h3>METHODS:</h3> To develop ICEMAN, established detailed concept; identified candidate...
In any meta-analysis it is important to report not only the mean effect size but also how varies across studies. A treatment that has a moderate clinical impact in all studies very different than where on average, some large and others trivial (or even harmful). no average because helpful harmful others. The majority of meta-analyses use I-squared index quantify heterogeneity. While this practice common nevertheless incorrect. does tell us much (except when zero percent). statistic convey...
This article reviews eight published studies that describe clozapine's effects on TD and examines the outcome of 30 patients with treated clozapine for up to 36 months. These data indicate response is variable but approximately 43% cases, particularly those dystonic features, improved after treatment. Methodological limitations described, however, preclude definitive conclusions, which must await appropriately controlled trials.
Heterogeneity has been a consistent problem in the research and treatment of schizophrenia. Despite marked variation onset, phenomenology, response outcome schizophrenic patients, our ability to identify subtypes is remarkably limited. A major schizophrenia use cross-sectional study designs heterogeneous patient samples at different stages illness who have previously exposed neuroleptics which potentially confounding effects on disease. This intends biologic correlates phenomenology course...