BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Stanford School of Medicine at Stanford Research Park - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://srp.med.stanford.edu
X-WR-CALDESC:Events for Stanford School of Medicine at Stanford Research Park
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20240310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20241103T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250401T120000
DTEND;TZID=America/Los_Angeles:20250401T130000
DTSTAMP:20260413T045958
CREATED:20250325T212145Z
LAST-MODIFIED:20250325T212341Z
UID:2478-1743508800-1743512400@srp.med.stanford.edu
SUMMARY:QSU Research Methods Seminar: Robert Tibshirani\, Ph.D
DESCRIPTION:Tuesday\, April 1\, at 12:00 pm PST \nJoin the seminar at 3180 Porter Dr. (combined Room B107 & B136) \n*Lunch will be provided* \nZoom Link:\nMeeting ID:  996 4643 5133\nPassword: 593858 \n \nRobert Tibshirani\, Ph.D.\nProfessor of Biomedical Data Science and of Statistics\nStanford University \nUnivariate-guided Sparse Regression \nIn this talk Dr. Tibshirani will introduce “UniLasso”\, a novel statistical method for sparse regression. This two-stage approach preserves the signs of the univariate coefficients and leverages their magnitude. Both of these properties are attractive for stability and interpretation of the model. Through comprehensive simulations and applications to real-world datasets\, we demonstrate that UniLasso outperforms Lasso in various settings\, particularly in terms of sparsity and model interpretability. We prove asymptotic support recovery and mean-squared error consistency under a set of conditions different from the well-known irrepresentability conditions for the Lasso. Extensions to generalized linear models (GLMs) and Cox regression are also discussed. A special case of lasso\, “uniReg” is an interesting competitor to good ol’ least squares regression (Legendre\, 1805). \nThis is joint work with Sourav Chatterjee and Trevor Hastie.
URL:https://srp.med.stanford.edu/event/qsu-research-methods-seminar-robert-tibshirani-ph-d/
LOCATION:Tapao Hall (3180 Porter Drive)\, 3180 Porter Dr\, Palo Alto\, CA\, 94304\, United States
CATEGORIES:In Person,Remote
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250403T120000
DTEND;TZID=America/Los_Angeles:20250403T130000
DTSTAMP:20260413T045958
CREATED:20250328T173326Z
LAST-MODIFIED:20250328T173326Z
UID:2496-1743681600-1743685200@srp.med.stanford.edu
SUMMARY:BioSci Careers: Present Your Best Self In Person and Online
DESCRIPTION:
URL:https://srp.med.stanford.edu/event/biosci-careers-present-your-best-self-in-person-and-online/
LOCATION:Remote
CATEGORIES:Remote
ATTACH;FMTTYPE=image/png:https://srp.med.stanford.edu/wp-content/uploads/2025/03/biosci-careers.png
END:VEVENT
END:VCALENDAR