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Biostatistics Clinics | The Reporter Article | Ad

For Investigators Wanting Assistance with Experimental Design, Study Design, Data Analysis, Data Display, Statistical Computing, and Interpretation of Results

Sponsored by

Vanderbilt Institute for Clinical and Translational Research (CTSA)
Department of Biostatistics
Department of Biomedical Informatics
Clinical Research Center
Section of Surgical Sciences
School of Nursing
Vanderbilt Kennedy Center for Research on Human Development

Monday-Friday Noon-1:15pm Beginning 3 Oct 2005
Lunch Provided

Day Theme Location Other Faculty
Monday General
(Study Design, Analysis, Computing, Graphics)
D2221
MCN
 
Tuesday Omics Data
(Genomics,Proteomics)
D2221
MCN
Department of Biomedical Informatics
Wednesday Surgical, Emerg., Critical Care Res. D2221
MCN
 
Thursday Clinical Research
(Non-surgical)
A3210 MCN GCRC
Friday Basic Research D2221
MCN
 

The clinics are open to all faculty having primary appointments in the Schools of Medicine and Nursing and to all Kennedy Center investigators. They are also open to post-docs and senior laboratory personnel, medical and surgical fellows, and students in the medical school Emphasis Program. We recommend that mentors attend with post-docs and students but this is not a requirement. Attendees should select the appropriate clinic day according to the above schedule. The Friday clinic is devoted to basic research that is not primarily related to gene microarray or proteomics. Click the links by the individual clinics for more details including a list of faculty and staff responsible for that clinic.

If you have a relatively simple dataset to be analyzed and the analysis can be concluded during the clinic, send your data at least two days in advance to biostat@vanderbilt.edu and state which clinic you will attend. Preferred formats are R save files, SPSS save files, Stata data files, and comma separated files (csv files) exported from a spreadsheet or other software, with variable names in the first record. All subject identifiers must be removed from files before sending them to us (please see the Data De-identification Checklist).



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