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BIOS 820 SAS Programming I

BIOS 820. SAS Programming I. 3 Credits.

This is a graduate level course preparing a student for the SAS base programming certification exam. We will cover the topics required for a student to pass the SAS base programming certification exam given by SAS. To this end, topics we will study will include, referencing files and setting options, creating list reports, understanding data step processing, creating and managing variables, reading and combining SAS data sets, do loops, arrays, and reading raw data from files. After the completion of the course the student should be able to create SAS programs to read data from external files, manipulate the data into variables to be used in an analysis, generate basic reports showing the results. Prerequisite: Permission of the Instructor.

Doctor of Philosophy in Biostatistics

http://catalog.ku.edu/medicine/biostatistics/phd/

The Biostatistics M.S. and Ph.D. programs were created to help meet the ever-increasing demand for biostatisticians to take leadership roles in careers as researchers and educators in academia, government, and industry. Faculty members are active researchers collaborating and consulting in research projects and initiatives at the Medical Center, in addition to pursuing their own research agendas and participating in curricular instruction. Expertise in the Department includes linear, nonlinear, and longitudinal modeling; clinical trial and experimental design; survival analysis; categorical data analysis; robust statistics; psychometric methods; statistical 'omics; bioinformatics; Bayesian methodology; data science; and machine learning. The Ph.D. program produces biostatisticians who can develop biostatistical methodology that can be used to solve problems in public health and the biomedical sciences. In addition, graduates are prepared to apply biostatistical and epidemiology methodology for the design and analysis of public health and biomedical research investigations. Finally, graduates are well suited to function as collaborators or team leaders on research projects in the biomedical and public health sciences. In addition to the characteristics outlined in the M.S. program, graduates of the Ph.D. program in Biostatistics will have: the ability to develop careers in academia, research institutes, government, and industry; a broad understanding of current statistical methods and practices in the health sciences; a solid theoretical training necessary for the development and study of new statistical methods; the ability to assume all responsibilities of a statistician in collaborative health science research; in particular, the graduate will have experience in the design, data management, analysis, and interpretation of a variety of experimental and observational studies; experience in writing reports and giving oral presentations describing health science studies.

Master of Science in Biostatistics

http://catalog.ku.edu/medicine/biostatistics/ms/

The Biostatistics M.S. and Ph.D. programs were created to help meet the ever-increasing demand for biostatisticians to take leadership roles in careers as researchers and educators in academia, government, and industry. Faculty members are active researchers collaborating and consulting in research projects and initiatives at the Medical Center, in addition to pursuing their own research agendas and participating in curricular instruction. Expertise in the Department includes linear, nonlinear, and longitudinal modeling; clinical trial and experimental design; survival analysis; categorical data analysis; robust statistics; psychometric methods; statistical 'omics; bioinformatics; Bayesian methodology; data science; and machine learning. The Biostatistics MS program produces graduates that are prepared to function as biostatisticians or biostatistical consultants. Therefore, graduates gain an extensive understanding of biostatistical theory and practice and should be proficient in the application of statistical methods to one or more areas in the health sciences. At the completion of the M.S. degree in Biostatistics the graduate should be able to: Demonstrate a broad knowledge and understanding of statistical theory and practice as applicable in the health sciences. Function as a collaborator on a research team. Take a leadership role in the design and implementation of a health science project. Assume responsibility for the design and implementation of analyses for health science investigations. Assist with the design and implementation of data management systems for large health science studies. Prepare reports and publications resulting from health science studies. Serve as an advocate for good statistical design in health science investigations.

Master of Science in Applied Statistics and Analytics

http://catalog.ku.edu/medicine/biostatistics/ms/appliedstatisticsandanalytics/

The Master of Science in Applied Statistics and Analytics is offered by the the Department of Biostatistics & Data Science located at the University of Kansas Medical Center . This program is offered 100% online through the University of Kansas-Edwards campus . Graduates are equipped with hands-on statistical computing skills emphasizing proper application and problem solving and are prepared for careers in the rapidly growing fields of statistics, biostatistics, analytics, and data science. Many of the most employable graduate degrees involve statistics.

2022-23 Academic Catalog

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BIOS 820 SAS Programming I

Doctor of Philosophy in Biostatistics

Master of Science in Biostatistics

Master of Science in Applied Statistics and Analytics

Biostatistics Graduate Certificate

Doctor of Philosophy in Medical Nutrition Science

Master of Science in Cancer Biology

Doctor of Philosophy of Cancer Biology

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