Contact Form
If you would like to use the biostatistics core facility’s services and/or intend to include their use in a grant proposal, an overview meeting is required. In this meeting, the methodology for the project will be discussed, and the research questions will be clarified.
For scheduling reasons, it is important that you notify us as early in the process as possible, allowing us to forecast upcoming projects and maintain a balanced workflow. This enables us to give each project the attention that it deserves. It is expected that you meet with us at least
FIVE WEEKS prior to any grant submission deadline to discuss the scope of the work needed .
To save time and facilitate data analysis, it is required that you follow the dataset management guidelines . The data should be in a spreadsheet in either the wide or long form, and a codebook/data dictionary should be included.
With respect to accuracy and completeness, if the data have errors which are later found and corrected, or the information on study subjects is incomplete, with the pertinent records being updated at a later time, then statistical analyses will typically have to be re-done. Re-doing work because of oversights or poor planning is not a priority.
With respect to statistical analyses, it is possible that results of the initial analyses may lead to the need for further analyses, and accommodating this is inherent to the job. However, all work will be done according to professional standards, including the ethical treatment of data and its analysis. A series of requests for a variety of post-hoc alternative analyses of the same data, especially those involving specific patient subsets that seek to salvage an ill-supported hypothesis will be placed in the “low priority” queue.
Please complete the following contact form, either in MS Word or by hand and bring it with you.

Name:
Project title:
Co-Investigators:
Projected timeline (Short or Long term):
Research questions:
Study design:
Background information:
Primary contact’s email address:
Relevant variables (IVs & DVs) and their measurement level:
Services requested:
Comfort level with statistics:
Software preference: