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X-WR-CALDESC:Events for Dana-Farber Cancer Institute
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DTSTAMP:20260416T043611
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UID:6532-1762261200-1762277400@ds.dfci.harvard.edu
SUMMARY:2025 Dana-Farber/Harvard Cancer Center Celebration of Early Career Investigators
DESCRIPTION:November 4\, 2025 from 1:00-5:30PM\nIn-Person at Dana Farber Cancer Institute\nYawkey Conference Center \nEarly career investigators are a unique reservoir of new ideas\, innovation\, and excellence in cancer research. To celebrate this\, we welcome you to join the 13th Annual DF/HCC Celebration of Early Career Investigators in Cancer Research. This symposium will showcase the talent of early career investigators at the Dana-Farber/Harvard Cancer Center (DF/HCC) who work in several areas of population science\, including epidemiology\, biostatistics\, outcomes\, diversity\, and survivorship. We invite all members of the public to attend the event. \n2025 KEYNOTE SPEAKER\nJane J Kim\, PhD\nKT Li Professorship in Health Economics at the Harvard TH Chan School of Public Health \nTalk Title: Cervical Cancer Prevention: The Quintessential and Persistent Public Health Challenge \nAbstract: Effective and cost-effective preventive strategies against cervical cancer have been available for several decades. HPV vaccination and cervical cancer screening hold such promise that the World Health Organization Director General issued a call for the global elimination of cervical cancer as a public health problem in 2018. Despite these available options\, cervical cancer remains hugely burdensome with wide disparities in incidence and mortality around the globe\, and even within the United States. \nThis talk chronicles the progress towards cervical cancer elimination over the past two decades and the many remaining challenges. I discuss this quintessential public health problem from the lens of decision sciences as an approach to evidence-based decision making that has informed policy recommendations for HPV vaccination and cervical cancer screening in the United States and globally. Professional development and lessons learned through research collaborations\, which were found to be portable to leadership roles more broadly\, are shared. \nRegistration for the public is now open at https://bit.ly/ECIS2025 \nMore info at: https://www.dfhcc.harvard.edu/ecis
URL:https://ds.dfci.harvard.edu/event/2025-dana-farber-harvard-cancer-center-celebration-of-early-career-investigators/
CATEGORIES:Symposium
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2024/01/logo-only-e1704401329917.png
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DTSTART;TZID=America/New_York:20251106T160000
DTEND;TZID=America/New_York:20251106T170000
DTSTAMP:20260416T043611
CREATED:20251031T155331Z
LAST-MODIFIED:20251107T191723Z
UID:6628-1762444800-1762448400@ds.dfci.harvard.edu
SUMMARY:Statistical Challenges in Long COVID Research: Examples from the RECOVER Cohort Studies
DESCRIPTION:HSPH Biostatistics & DFCI Data Science Colloquium Seminar Series \nNovember 6\, 2025 at 4:00pm\nHSPH FXB-301 \nAndrea Foulkes\, ScD\, Director\, Biostatistics\, Professor of Medicine\, Harvard Medical School\nProfessor\, Department of Biostatistics\, Harvard T.H. Chan School of Public Health \nA considerable proportion of individuals with a history of SARS-COV-2 infection experience persistent and often debilitating symptoms\, varying from cardiopulmonary and neuro-cognitive symptoms to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and dysautonomia.\nThese symptomologies\, collectively known as Long COVID\, manifest differently across individuals\, wax and wane over time\, and range from mild to incapacitating\, with profound effects on quality of life. At the same time\, the rapid materialization of large-scale observational data\, including the Researching COVID to Enhance Recovery (RECOVER) meta-cohort\, has MASSACHUSETTS GENERAL HOSPITAL generated enormous opportunity for novel discovery and enhanced clinical decision-making tools that could lead to effective prevention strategies and improved outcomes. The statistical challenges inherent in effectively and appropriately leveraging these novel data resources are numerous. In this talk\, I discuss my role as the Pl of the Data Resource Core for RECOVER and highlight some of the specific statistical challenges in the study of Long COVID. \n 
URL:https://ds.dfci.harvard.edu/event/statistical-challenges-in-long-covid-research-examples-from-the-recover-cohort-studies/
CATEGORIES:Symposium
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2025/10/andreaf_crop-copy.png
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DTSTART;TZID=America/New_York:20251113T160000
DTEND;TZID=America/New_York:20251113T170000
DTSTAMP:20260416T043611
CREATED:20251107T191711Z
LAST-MODIFIED:20251117T185408Z
UID:6649-1763049600-1763053200@ds.dfci.harvard.edu
SUMMARY:Addressing Statistical Challenges in Long COVID Research: Auxiliary Variable-Dependent Sampling Designs and Clustering of Complex Data Types
DESCRIPTION:HSPH Biostatistics & DFCI Data Science Colloquium Seminar Series\nNovember 13\, 2025 at 4:00pm\nHSPH\, FXB 301 \nSpeakers: Joint presentation by Tony Harrison & Thaweethai Reeder
URL:https://ds.dfci.harvard.edu/event/addressing-statistical-challenges-in-long-covid-research-auxiliary-variable-dependent-sampling-designs-and-clustering-of-complex-data-types/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ds.dfci.harvard.edu/wp-content/uploads/2025/11/hsph.jpeg
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DTSTART;TZID=America/New_York:20251120T160000
DTEND;TZID=America/New_York:20251120T170000
DTSTAMP:20260416T043611
CREATED:20251117T185354Z
LAST-MODIFIED:20251117T185503Z
UID:6669-1763654400-1763658000@ds.dfci.harvard.edu
SUMMARY:The Single Arm Changing to Randomized Design (SACRED)
DESCRIPTION:HSPH Biostatistics & DFCI Data Science Colloquium Seminar Series\nHarvard TH Chan School of Public Health\, FXB 301\nNovember 21st\, 4:00-5:00pm \nGlen Laird\, Head of Biostatistics\, Methodology and Innovation\, Vertex Pharmaceuticals
URL:https://ds.dfci.harvard.edu/event/the-single-arm-changing-to-randomized-design-sacred/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ds.dfci.harvard.edu/wp-content/uploads/2025/11/Glen_Laird-1-e1763405616809.jpg
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