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University of Southern California Sol Price School of Public Policy Adjunct Instructor of Statistics for Public Policy and Management Department of Public Policy and Management The USC Sol Price
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exceptional statistical proficiency, attention to detail, data processing skills, strong communication, and a dedication to advancing clinical inquiry and innovation in nursing practice. High level of
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case-control data sets using R and/or python, including multivariate statistical techniques such as linear/logistic regression, Cox regression and other statistical methods Integrate data from multiple
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for reports as well as running showcase reports required for peer review activity Formats these reports in an excel spreadsheet utilizing statistical tools to assure meaningful data for Medical Staff Committee
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facility or large organization utilizing medical terminology. Req Data processing, Health information system. Req Excellent working knowledge of acute care demographics, clinical data elements, statistical
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, including concepts of measurement, sampling, and validity. The second part of the course focuses on analysis of quantitative data, including descriptive statistics and inferential statistics, such as
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test results using appropriate tools necessary to produce specific statistical information. Procedures are planned and executed considering physiologic and developmental age. Serves ages infant through
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This position is responsible for assisting the Principal Investigator (Pl) in grant proposal preparation, writing programming code to accomplish the statistical analysis, and designing a
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business practices. The role will also work with management to obtain and identify analytical requirements. Provide recommendations and conclusions gained from analyzing data using statistical methods and
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, Visio, and SunGard. Experience in creating and analyzing statistical reports. Must be able to utilize computer technology to access data, maintain records and generate reports. Proven oral and written