SCASA's 44th Applied Statistics Workshop

Fri Apr 25 2025 at 09:00 am to 04:00 pm UTC-07:00

City of Hope | Duarte

SCASA
Publisher/HostSCASA
SCASA's 44th Applied Statistics Workshop
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The Southern California Chapter of the ASA (SCASA) invites you to our 44th annual Applied Statistics Workshop!
About this Event

Join us for our 44th annual Applied Statistics Workshop hosted by the Southern California Chapter of the ASA (SCASA)!


This year's topic is on "The Statistical Analysis of Composite Time-to-Event Outcomes" taught by Dr. Lu Mao, associate professor in the Department of Biostatistics and Medical Informatics at UW Madison.


This will be our first in-person ASW since 2019 and are thankful to the City of Hope for generously hosting this event.


Location:

Platt Conference Center, Cooper Auditorium, at City of Hope (more details to follow).


Registration Fee: (Early bird until April 18 / General)

Student (Undergraduate, Graduate, Post-doc): $25/$30

SCASA Member (SCASA/OCLB/SDASA): $50/$60

Non-SCASA Member: $60/70

Students please register with your university email address.


Please fill out the following form to select your lunch preference (must be submitted by April 21st):

https://docs.google.com/forms/d/e/1FAIpQLScrhlOiTmlHDB7EH2q9L4FjxZVNrsR0y9FyXZ2iW2iUIvcQQw/viewform?usp=header


Tentative schedule:

9:00-9:30am - Registration

9:30am-10:30am – Introduction

10:30am - 10:45am - Break

10:45am-11:45am – Hypothesis testing

11:45am-1:00pm – Lunch

1:00pm – 2:00pm – Nonparametric Estimation

2:00pm - 2:15pm - Break

2:15pm – 3:15pm – Semiparametric Proportional Regression / Miscellaneous Topics

3:15pm-3:30pm – Q & A



About the instructor:

Professor Lu Mao is an associate professor in the Department of Biostatistics and Medical Informatics at University of Wisconsin (UW) - Madison. He joined the department as an assistant professor after obtaining his doctoral degree in Biostatistics from UNC Chapel Hill in 2016 under Dr. Danyu Lin. His research interests include survival analysis (particularly composite outcomes), causal inference, semiparametric theory, and clinical trials. He is currently the PI of an NIH R01 grant on statistical methodology for composite time-to-event outcomes in cardiovascular trials and an NSF grant on causal inference in randomized trials with noncompliance. Besides methodological studies, he also collaborates with medical researchers in cardiology, radiology, cancer, and health behavioral interventions, where time-to-event and longitudinal data are routinely collected and analyzed. He has taught several short courses on statistical methods for composite outcomes to general audiences, including a recent one at the 2024 Joint Statistical Meeting (JSM) in Portland, OR.



For questions email the ASW organizer Eric Kawaguchi (ekawaguc[at]usc.edu)

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Event Venue & Nearby Stays

City of Hope, 1500 East Duarte Road, Duarte, United States

Tickets

USD 25.00 to USD 60.00

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