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Novel Biostatistical and Epidemiologic Methods Awards

These awards support the development of novel biostatistical and epidemiologic methods that overcome analytic limitations and enhance the validity, accuracy, scope or speed of clinical or translational research. A maximum of $35,000 will be awarded for a one-year period. 

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Solicitation and Review Process

Phase 1: Applicants submit one-page abstracts summarizing their proposals. A UR CTSI Review Committee composed of selected experts will evaluate, score and discuss all preliminary applications.

Phase 2: A subset of applicants will be invited to submit full proposals. Proposals are reviewed by experts at another CTSA Program institution through an exchange program. Funding recommendations go to the UR CTSI Executive Team for final approval.

CTSI Cost Sharing Information
CTSI Sign-off Form 2019

View the 2019 RFA for the NBEM Pilot Award

Deadlines

The NBEM Funding Attestation must be submitted with the initial abstract and full proposal.

  • Decemeber 2, 2019, at 5:00 PM – Initial abstracts of proposals must be received. Please note that the online submission system will reject proposals submitted after 5:00 PM.
  • January 6, 2020 – Applicants will be notified if they are invited to submit full proposals. 
  • March 2, 2020, at 5:00 PM – Full proposals will be due. 
  • May 18, 2020 – Notifications of Award will be made. 
  • July 1, 2020 – The earliest potential start date.

Current Projects

Statistical methods to quantify imaged microglia
Matthew McCall, Ph.D.
Associate Professor of Biostatistics

Inference on human populations from single cell transcriptional profiling
Andrew McDavid, Ph.D.
Assistant Professor of Biostatistics and Computational Biology

Past Projects

Machine learning based mediation analysis: Application in a study of birth weight
Ashkan Ertefaie, Ph.D.
Assistant Professor of Biostatistics and Computational Biology

Personalized medical image Analysis Based on Partial Differential Equations
Xing Qiu, Ph.D.
Associate Professor of Biostatistics and Computational Biology

Estimation of cell-type specific microRNA expression in complex tissue samples
Matthew McCall, Ph.D.
Assistant Professor of Biostatistics and Biomedical Genetics

Development of a Clinical Trial Simulation Tool for Huntington's Disease
Charles Venuto, PharmD
Assistant Professor of Neurology in the Center for Health and Technology

Development of qPCR methodology for clinical testing
Matthew McCall, Ph.D.
Assistant Professor of Biostatistics and Biomedical Genetics

Weighted Functional Gene Set Enrichment Analysis for Time-course Transcriptome Studies
Xing Qiu, Ph.D.
Associate Professor of Biostatistics and Computational Biology

Novel models for analyzing drinking outcomes: A pilot study comparing competing approaches
Hua He, Ph.D.

Assistant Professor, Biostatistics and Computational Biology

Detecting Intergene Association Changes in Microarray Data
Rui Hu, Ph.D.

Research Assistant Professor, Biostatistics and Computational Biology

Integrative Analysis of Pathways to SA and PPD in High Risk Families
Yinglin Xia, Ph.D., M.S.

Research Assistant Professor, Biostatistics and Computational Biology

Clustering Differentially Associated Genes
Rui Hu, Ph.D.
Research Assistant Professor of Biostatistics and Computational Biology
Co-Investgators: Sandhya Dwarkadas, PhD, Galina Glazko, PhD, Xing Qiu, PhD

Parameter estimation for nonlinear stochastic differential equation models from noisy longitudinal data in HIV dynamic research
Hongqi Xue, Ph.D.

Research Assistant Professor of Biostatistics and Computational Biology