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Postdoctoral fellowships to develop and apply novel statistical methods and sampling designs to address data errors in electronic health records data

Biostatistics

This postdoctoral fellowship is to develop and apply novel statistical methods and sampling designs to address data errors in electronic health records data.

 

This is a 2.5 year post-doc funded to work on a project titled, “Statistical methods and designs for addressing correlated errors in outcomes and covariates in studies using electronic health records data,” funded by the Patient Centered Outcomes Research Institute. Duties include working with a team led by study project principal investigators, Bryan Shepherd (Vanderbilt) and Pamela Shaw (University of Pennsylvania), to develop and apply novel statistical methods and sampling designs to address data errors in electronic health records data. We are hiring 2 post-docs for this project – one to be housed at Vanderbilt, the other at the University of Pennsylvania; please see related announcement from the University of Pennsylvania.

A PhD. in biostatistics, statistics, or a related field is required. Experience with methods for measurement error, missing data, two-phase sampling, or survey sampling is desired. Strong statistical knowledge and computation skills are required.

Please send a cover letter, CV, and contact information for 3 references to Bryan Shepherd.

Vanderbilt University Medical Center is an EEO/AA employer.

Bryan Shepherd, PhD
Email
Phone: 615-343-3496
2018-02-19 11:57:40

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