University of Pittsburgh Cancer Institute (UPCI)

CCSG Acknowledgement

Required CCSG Acknowledgement

The NCI requires that publications acknowledge the UPCI CCSG support, and they are tracking compliance. If a UPCI CCSG-supported Shared Resource provided data used in your publication, please include the following statement in the acknowledgment section of your publication(s):

"This project used the UPCI [insert name(s) of shared resource(s)] that [is/are] supported in part by award P30CA047904."

Shared Resource Directors: Please make sure to include this statement on all of your order forms, contracts, etc. as a reminder to your users to acknowledge the UPCI CCSG support.


Announcements for Biostatistics Facility Users

Biostatistics Facility Updates - June 2013

Overview

The Biostatistics Facility (BF) provides clinical and basic science investigators at UPCI with expertise in the design, execution, analysis, and reporting of cancer-related research studies, encompassing basic science, genomics and proteomics, clinical trials, epidemiologic studies (including those related to cancer prevention and awareness), and investigations of behavioral and health sequelae of cancer treatment.

BF statisticians serve on UPCI's Clinical Research Oversight Committee, Protocol Review Committees, and Data and Safety Monitoring Committees. They support the training of students, fellows, and cancer researchers. The BF is also committed to applying statistical and computational methods to improve the manner in which clinical trials and translational research are performed at UPCI, and to developing statistical methodology that aids cancer research.

Methodologic research in the BF has focused on:

  • analysis of biomarkers for prognosis and prediction of response to treatment,
  • quality control in immunologic assay systems,
  • adaptive dose-finding techniques for phase I trials,
  • permutation tests for logistic regression and inference from small datasets with many covariates,
  • stochastic modeling of tumor growth and metastasis,
  • weakest-link modeling for studying cause-effect in biological and medical phenomena,
  • meta-analysis and evaluating quality of life, and
  • behavioral and health outcomes of patients undergoing cancer treatment.

The BF also has faculty with expertise in epidemiology, statistical genetics, bioinformatics, genomics and proteomics. In addition, a senior scientific editor is available to ensure the clarity and accuracy of grant proposals and scientific manuscripts.

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