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Getting ready for Fall 2020!

Posted on August 28, 2020 by Zhao, Xinyu

Time seems perpetual during 2020! Team CTF@UConn celebrated the new beginning with an ancient perpetual calendar (Antikythera Mechanism) that shares some core functionalities as the gear turbo fan!

From Prof. Lee Langston’s article “Gears Steer New Engine Designs“: Gear trains are one of the oldest known machines and none is more closely identified by the general public, with the profession of mechanical engineering. Gears use the principle of the lever to alter the speed and torque carried by shafts, and can be traced back as far as 3000 BC in use in China. One of the most famous of ancient gear assemblies is the Antikythera Mechanism (https://en.wikipedia.org/wiki/Antikythera_mechanism), recovered in 1900 from a shipwreck off the coast of Greece. Possibly constructed in Rhodes in 150-100 BC, the mechanism is an astronomical analog calculator (or orrery) that was probably used as one of the first analog computers to show celestial positions of the sun and moon, the time of solar eclipses and the dates of Olympic and Pan-Hellenic games. The Antikythera Mechanism has some 30 intermeshing gears, which include an epicyclic gear train.

4/24 Robert W. Makuch Distinguished Lecture in Biostatistics: Roderick J. Little, University of Michigan

Robert W. Makuch Distinguished Lecture in Biostatistics: Roderick J. Little, University of Michigan

Wednesday, April 24th, 2024

04:00 PM - 05:00 PM

Some Reflections on Rosenbaum and Rubin’s Propensity Score Paper

Presented by Roderick J. Little
Richard D. Remington Distinguished University Professor of Biostatistics
Department of Biostatistics, University of Michigan
Wednesday, April 24, 2024
4:00 PM-5:00 PM ET
AUST 163
Webex Meeting Link
Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326)
Rosenbaum and Rubin’s paper is highly cited because the basic idea is simple and insightful, and it has applications to important practical problems in treatment comparisons with observational data, and selection bias and nonresponse in surveys. I discuss several issues related to the method, including use of the propensity score for weighting or prediction, and two robust methods that use the propensity score as a covariate and can be more efficient that weighting when the weights are highly variable, namely Penalized Spline of Propensity Prediction (PSPP) and Penalized Spline of Propensity for Treatment Comparisons (PENCOMP). Approaches to addressing highly variable weights are discussed, including omitting variables in the propensity model that are unrelated to outcomes, and redefining the estimand.
Keywords: confounding by indication, nonresponse modeling, penalized spline of propensity, robust causal inference.
Speaker Bio:
Roderick J. Little is Richard D. Remington Distinguished University Professor of Biostatistics at the University of Michigan, where he also holds appointments in the Department of Statistics and the Institute for Social Research. He chaired the Biostatistics Department at Michigan for 11 years. He has over 250 publications, notably on methods for the analysis of data with missing values and model-based survey inference, and the application of statistics to diverse scientific areas, including medicine, demography, economics, psychiatry, aging and the environment. Little is an elected member of the International Statistical Institute, a Fellow of the American Statistical Association and the American Academy of Arts and Sciences, and a member of the National Academy of Medicine. In 2005, Little was awarded the American Statistical Association’s Wilks Medal for research contributions, and he gave the President’s Invited Address at the Joint Statistical Meetings. He was the COPSS Fisher Lecturer at the 2012 Joint Statistics Meetings.

Robert Makuch is a Professor in the Department of Biostatistics at the Yale School of Public Health and Director of the Regulatory Affairs Track. A graduate of the University of Connecticut (BA), University of Washington (MA – mathematics), and Yale University (MPhil, PhD), Professor Makuch worked at the National Cancer Institute (NCI) and the World Health Organization’s International Agency for Research on Cancer early in his career. He also worked for six months at the National Cancer Research Center in Tokyo, Japan.
He also was heavily involved in HIV research from the mid 80’s through the early-mid 90’s. He participated on the data monitoring committee for the original AZT vs. placebo randomized clinical trial in AIDS patients, and served on numerous committees for the NCI and the National Institute of Allergy and Infectious Diseases. He also worked closely with the Food and Drug Administration (FDA), developing and implementing more than 200 HIV studies. He also served as a Special Government Employee (SGE) to the FDA. He returned to Yale in 1986, and has worked extensively on methodologic issues in clinical trials and large population-based studies since. Another area of current interest involves detection of rare adverse drug events, especially in the post-marketing environment.
These areas of methodologic research evolved as a result of his continued interest (since the mid 1980s) in regulatory affairs science. In addition, Makuch developed a regulatory affairs track at YSPH for graduate and post-doctoral level students, and over the past 10 years has been the leader of more than 25 training programs for senior delegations of the Chinese Food and Drug Administration. His areas of medical application include cancer, HIV, arthritis, and cardiovascular disease.
In 2003, Makuch received the American Statistical Association Fellow Award for his numerous contributions to the field. In 2008, Makuch was received a Distinguished Alumni Award from the University of Connecticut. In 2012, Makuch was nominated to serve on the University of Connecticut Dean’s Advisory Board for the College of Liberal Arts and Sciences. He also has been a decades-long member of Phi Beta Kappa. He also developed a 5-year biostatistics training program in Japan, in collaboration with the Japanese government. His primary research interests continue to be methodologic issues in the design, conduct, analysis, and interpretation of clinical and large-population/epidemiologic studies. Design and sample size considerations for Phase IV studies is another active research area, in which a new class of hybrid designs has been proposed for scientific and regulatory purposes to detect rare adverse events.

Contact Information:
heeju.lim@uconn.edu

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5/9 The Stat4Onc Annual Symposium

The Stat4Onc Annual Symposium

Thursday, May 9th, 2024

All Day

The Stat4Onc Annual Symposium is a venue for interdisciplinary dialogue among clinical and quantitative scientists about cancer clinical trials. We seek participation by researchers from academia, industry, and regulatory agencies to share new research, discuss novel ideas, ask questions, and provide solutions for cancer clinical trials. Oncologists and statisticians can exchange views on trial design and conduct, drug development, and translation to patient care. Topics for this symposium include training for new generation of statisticians and clinicians, translational and precision oncology, master protocols, pediatric oncology research and drug development, populational cancer research, biomarkers and subgroups, real world data/evidence, and engagement of under-representative population in oncology research.
Please visit the event’s homepage for this information at https://stat4onc.org/events/stat4onc2024/.

Contact Information:
heeju.lim@uconn.edu

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5/21 New England Statistics Symposium

New England Statistics Symposium

Tuesday, May 21st, 2024

All Day

The symposium has been bringing together statisticians from all over New England and beyond to a central location to share research, discuss emerging issues in the field, and network with colleagues since it was first started at UConn in 1987.
Please visit the event’s homepage for this information at
https://symposium.nestat.org/

Contact Information:
heeju.lim@uconn.edu

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5/22 New England Statistics Symposium

New England Statistics Symposium

Wednesday, May 22nd, 2024

All Day

The symposium has been bringing together statisticians from all over New England and beyond to a central location to share research, discuss emerging issues in the field, and network with colleagues since it was first started at UConn in 1987.
Please visit the event’s homepage for this information at
https://symposium.nestat.org/

Contact Information:
heeju.lim@uconn.edu

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E-mail:	xinyu.zhao@uconn.edu
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