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clinical trials in patients with cancer; to identify and validate predictive biomarkers of clinical outcomes in cancer; and perform meta- analyses using the Bayesian framework. The projects will lead to both
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, and visualization are preferred. Prior training in longitudinal data analysis, survival analysis, Bayesian methods, and joint modeling is highly desirable. Experience working with clinical or biomedical
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patients with cancer; to identify and validate predictive biomarkers of clinical outcomes in cancer; and perform meta- analyses using the Bayesian framework. The projects will lead to both collaborative and
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DESCRIPTION Duke University and North Carolina State University (NC State) invite applications for a full-time Postdoc Associate to conduct research on causal inference and analytic methods for data integration
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(NC State) invite applications for a full-time Postdoc Associate to conduct research on causal inference and analytic methods for data integration, with a focus on innovative statistical methods
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dictionaries and basic to intermediate statistical analysis methods. Operate computer statistical software to manage data and implement statistical analysis and inference, including, but not limited
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that is synergistic with their independent research. Clinical trials innovation focus: clinical trial innovation, including complex adaptations, Bayesian methodology, integration of real world evidence
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position is funded by multiple NIH projects, e.g., https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical
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dictionaries and basic to intermediate statistical analysis methods. Operate computer statistical software to manage data and implement statistical analysis and inference, including, but not limited
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., https://tinyurl.com/yy8xwtoq , https://tinyurl.com/bhkr2mm5 , https://tinyurl.com/2f99j7df , and https://tinyurl.com/ysxhmujv The overall goal is to: (1) develop inference and dynamic prediction