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Rigor, Reproducibility, and Transparency (RRT) Seminar Series: Allison Meisner, PhD

The Rigor, Reproducibility, and Transparency (RRT) Seminar Series is a series in collaboration with the Fred Hutch Cancer Center presented by faculty from each of the several ongoing training grants at Fred Hutch and UW. Presenters include faculty from training grants at the Fred Hutch and the UW. The series is in response to NIH-mandated RRT training for trainees on training grants, F awards, and K awards. Lectures focus on a detailed discussion of common or emerging methodologies with the aim of describing strengths, limitations, and pitfalls so those employing or interpreting the data gain a realistic sense of what can and cannot be learned.
The April seminar will feature Allison Meisner, PhD, Assistant Professor, Cancer Prevention Program Public Health Sciences Division, Member, Translational Data Science Integrated Research Center (TDS IRC), Fred Hutchinson Cancer Center. Dr. Meisner will give an overview of the planning and conduct of the statistical analysis for the Pharm PrEP study. She will also provide some examples from breast cancer treatment trials.
Zoom Recording: Allison Meisner RRT Seminar Recording
For trainees who were unable to attend the seminar live you have until May 22nd to view the recording and submit the survey with three things you learned for attendance credit.
Fred Hutch trainees: To receive RRT seminar credit, you must attend the Zoom seminar live (or watch the recording within 30 days of the live seminar) and then fill out this survey stating three things you learned. Click here to find out more about the Rigor, Reproducibility, and Transparency Seminar Series.
UW trainees: To receive RRT seminar credit, you must attend the Zoom seminar live (or watch the recording within 30 days of the live seminar) and then fill out this survey stating three things you learned. For further questions please contact Carson Simoes.
For FHCC trainees, the video can also be found on the RRT seminar series page on CenterNet.