Request for Biostatistical Shared Facility Form * is requiredName * Required First Last Email * Required Affiliation * RequiredPlease tell us your Affiliation(s). Institute, College, DepartmentDo you have Cancer Institute Membership? * Required Yes No Cancer Common Scientific Outline Biology Etiology Prevention Early Detection Diagnosis and Prognosis Treatment Cancer Control, Survivorship and Outcome Scientific Model Systems Community Engagement Other Cancer Site Myeloma Breast Cervical Stomach or GI Lymphoma or Non-Hodgkin Lymphoma Prostate Lung Leukemia Ovarian Other Project Type Grant Preparation and Development Research Protocol Preparation and Development Manuscript Preparation Abstract Preparation Poster/Oral Presentation Preparation Other To learn more about Biostatistics Shared Resource at the Center Institute, click the link https://cancer.uams.edu/research/research-resources/shared-resources/biostatistics/Research Type Human Subject Interventional Study (Clinical Trial) Human Subject Observational (Non Interventional) Study Animal Study Cell and Specimen Study Secondary Data Analysis Other Requested Statistical Activities Study Design Statistical Methodology Development and Analytical Plans Statistical Computation and Analysis Sample Size and Power Analysis Analytical Reports Randomization Proposal/Protocol Review and Comments Response to Review Comments in Proposal Response to Review Comments in Manuscripts Education/Training Other Expected External Deadline (Grant/Protocol/Abstract)For grant and protocol development, the BSF should to be notified at least one month in advance of a submission deadline to secure its involvement and ideally 3 months prior to submission. The same timeline applies to an abstract submission or a scheduled oral/poster presentation. Longer timeline may be needed for a manuscript preparation and submission. Requests on a short notice may still be accommodated only if there are available resources at the BSF. In general, the PI should contact the BSF at the earliest notification to ensure the requested statistical work-products are delivered timely and in high quality.
