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Introduction to Grant Writing

Introduction to Grant Writing . Beth Virnig, PhD Haitao Chu, MD, PhD University of Minnesota, School of Public Health December 11, 2013. Type of Grants. Predoctoral Research Support Grants, commonly require citizenship or permanent residency status NIH NSF

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Introduction to Grant Writing

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  1. Introduction to Grant Writing Beth Virnig, PhD Haitao Chu, MD, PhD University of Minnesota, School of Public Health December 11, 2013

  2. Type of Grants • Predoctoral Research Support Grants, commonly require citizenship or permanent residency status • NIH • NSF • Postdoctoral Research Support Grants, commonly do not require citizenship or permanent residency status • Mentored Research Development Award (K01, K08, K25 etc.) • Pathway to Independence Award (K99/R00)

  3. Type of Grants • Statistical Methodology Grants (R03, R21, R01, P01)  See Professor Marie Davidian and Jeremy Taylor’s slides. See Review Criteria at a glance. • Significance:Address important problems that will significantly move biostatistical science and practice and the substantive health science forward? • Does the project address an important problem or a critical barrier to progress in the field? If the aims of the project are achieved, how will scientific knowledge, technical capability, and/or clinical practice be improved? How will successful completion of the aims change the concepts, methods, technologies, treatments, services, or preventative interventions that drive this field?

  4. Type of Grants • Innovation: Is the work novel, original rather than just straightforwardly extending previous work? • Does the application challenge and seek to shift current research or clinical practice paradigms by utilizing novel theoretical concepts, approaches or methodologies, instrumentation, or interventions? Are the concepts, approaches or methodologies, instrumentation, or interventions novel to one field of research or novel in a broad sense? Is a refinement, improvement, or new application of theoretical concepts, approaches or methodologies, instrumentation, or interventions proposed?

  5. Type of Grants • Approach:Are the overall strategy, methodology, and analyses well-reasoned and appropriate to accomplish the specific aims of the project? Are potential problems, alternative strategies, and benchmarks for success presented? If the project is in the early stages of development, will the strategy establish feasibility and will particularly risky aspects be managed?

  6. Type of Grants • Investigators: Are the PD/PIs, collaborators, and other researchers well suited to the project? If Early Stage Investigators or New Investigators, or in the early stages of independent careers, do they have appropriate experience and training? If established, have they demonstrated an ongoing record of accomplishments that have advanced their field(s)? If the project is collaborative or multi-PD/PI, do the investigators have complementary and integrated expertise; are their leadership approach, governance and organizational structure appropriate for the project?

  7. Type of Grants • Environment: Will the scientific environment in which the work will be done contribute to the probability of success? Are the institutional support, equipment and other physical resources available to the investigators adequate for the project proposed? Will the project benefit from unique features of the scientific environment, subject populations, or collaborative arrangements?

  8. Type of Grants • Collaborative Grants as Statistician  See Professor Amy Herring’s slides • Statistical Design: Clearly lay out type of designs (case-control, cohort or clinical trials) clearly define outcome and exposure variables, randomization, adequate sample size and power on the primary hypotheses • Data Management Plan: data entry and collection, quality control and cleaning, and confidentiality. • Statistical Analysis Plan: Appropriate analytic models (survival, binary, continuous outcomes) with appropriate consideration for correlated, longitudinal, multi-level and missing data? • Typically focused on one or two types of design and models in a grant

  9. Type of Grants • Data Coordinating Center Grants • Typically multi-center cohort studies or clinical trials • Sophisticated data management systems by collaborating with computer scientists: web based data entry, quality control, periodical data edits and reports etc. • A team of statisticians with various backgrounds, integrated applications and developments of various statistical methods in a single grant • Biostatics Cores in Other Center Grants (Comprehensive Cancer Center, Clinical and Translational Science Institute, Center for AIDS Research, Center for Aging Research etc.)

  10. Final Comments • Like publications, if you keep writing and revising, you will get your own grants!

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