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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 13 hours ago
, noninferiority trials, multiple endpoints, adaptive designs, Bayesian design and analysis methods, estimands, meta-analyses, benefit-risk analyses, subgroup analyses, biosimilars, patient experience data
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, or other methodologies relevant to the post. Experience using systematic review software and analytical tools, or statistical software appropriate for meta‑analysis. Experience working with clinical
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causes of death among individuals initiating ESKD therapy. Participate in systematic reviews and meta-analyses examining factors associated with CKD awareness and related public health outcomes. Develop
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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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To contribute to the creation of sample size calculations for Individual Participant Data (IPD) meta-analysis projects by undertaking a range methodology research activities within an NIHR-MRC funded project
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/abstract and full-text screening using established software platforms, and extract relevant clinical data from selected studies. Assessing the risk of bias and methodological quality of included studies
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, qualitative evidence synthesis and some using more complex methods such as individual participant data or network meta-analyses. This is an exciting opportunity to be part of a new vision for evidence synthesis
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standard systematic reviews but might also include living reviews, qualitative evidence synthesis and some using more complex methods such as individual participant data or network meta-analyses. This is an
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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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data from clinical trials and/or observational studies, including proficiency with statistical software such as R, STATA and/or SAS. Proven skills in systematic reviews, meta-analyses and evidence