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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 18 hours ago
just medicines. Research Project: Under the guidance of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength
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‑bias assessment, and synthesis). Demonstrated experience of research methods and techniques pertinent to evidence synthesis, such as meta‑analysis, narrative synthesis, diagnostic test accuracy reviews
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to: Gain experience conducting analyses of national surveillance datasets (e.g., NHANES, NHIS, National Hospitalizations Data) and healthcare databases (e.g., Medicare and Medicaid) to examine clinical and
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claims and electronic health data to examine healthcare utilization, quality of care, treatment patterns, and outcomes among individuals with diabetes. Participate in systematic reviews and meta-analyses
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 18 hours ago
just medicines. Research Project: Under the guidance of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength
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using standardized appraisal tools (e.g., Cochrane RoB, GRADE, MINORS). Applying qualitative and, where appropriate, quantitative synthesis (meta-analysis) of clinical outcomes related to amputation
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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background in at least one of the following areas: renewable energy sources, power systems integration, energy technology management, or smart grids. Experience in development of mathematical meta-models
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to examine trends in comorbidities, survival, and causes of death among individuals initiating ESKD therapy. Participate in systematic reviews and meta-analyses examining factors associated with CKD awareness
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., Medicare and Medicaid) to examine clinical, behavioral, social, and environmental factors associated with diabetes incidence, prevalence, complications, and trends. Learn and apply advanced statistical and