Biostatistics Events

Biostatistics Departmental Calendar

Event
Thu 2/27/2020
Biostatistics Event
Biostatistics Research Day 2020 Biostatistics Event
Biostatistics Research Day 2020
Thu 2/27/2020
1155 Public Health, Foster Conference Room

Biostatistics Research Day is an annual departmental event that showcases student research and promotes interdisciplinary research among graduate students and faculty in Public Health.
This year's speaker is James Dignam, PhD (BIOST '94).


1155 Public Health, Foster Conference Room
Thu 2/27/2020 3:30PM - 4:30PM
Biostatistics Seminar Series
Big Clinical Trials: The NCI National Clinical Trials Network - James Dignam, University of Chicago Biostatistics Seminar Series
Big Clinical Trials: The NCI National Clinical Trials Network - James Dignam, University of Chicago
Thu 2/27/2020 3:30PM - 4:30PM
Public Health Lecture Hall (A115)


Public Health Lecture Hall (A115)
Thu 3/5/2020 3:30PM - 4:30PM
Biostatistics Seminar Series
Lin Chen, University of Chicago Biostatistics Seminar Series
Lin Chen, University of Chicago
Thu 3/5/2020 3:30PM - 4:30PM
Public Health Lecture Hall (A115)


Public Health Lecture Hall (A115)
Thu 3/19/2020 3:30PM - 4:30PM
Biostatistics Seminar Series
Dipankar Bandyopadhyay, Virginia Commonwealth University Biostatistics Seminar Series
Dipankar Bandyopadhyay, Virginia Commonwealth University
Thu 3/19/2020 3:30PM - 4:30PM
Public Health Lecture Hall (A115)


Public Health Lecture Hall (A115)
Sun 3/22/2020 to Wed 3/25/2020
Biostatistics Conference
ENAR 2020 Spring Meeting of the International Biometric Society -- JW Marriott Nashville Biostatistics Conference
ENAR 2020 Spring Meeting of the International Biometric Society -- JW Marriott Nashville
Sun 3/22/2020 to Wed 3/25/2020


Meetings of the Eastern North American Region of the International Biometric Society (a.k.a. "ENAR meetings") are held in late March or early April each year and reflect the broad interests of the Society, including both quantitative techniques and application areas. Faculty and student presenters from the Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations.


Mon 3/23/2020 7:00AM - 8:30AM
Biostatistics Event
Pitt Biostatistics Breakfast at ENAR Biostatistics Event
Pitt Biostatistics Breakfast at ENAR
Mon 3/23/2020 7:00AM - 8:30AM



Thu 4/9/2020 3:30PM - 4:30PM
Biostatistics Seminar Series
Heping Zhang, Yale University Biostatistics Seminar Series
Heping Zhang, Yale University
Thu 4/9/2020 3:30PM - 4:30PM
Public Health Lecture Hall (A115)


Public Health Lecture Hall (A115)
Thu 4/16/2020 3:30PM - 4:30PM
Biostatistics Seminar Series
Jeffrey S. Morris, University of Pennsylvania Biostatistics Seminar Series
Jeffrey S. Morris, University of Pennsylvania
Thu 4/16/2020 3:30PM - 4:30PM
Public Health Lecture Hall (A115)


Public Health Lecture Hall (A115)
Sat 8/1/2020 to Thu 8/6/2020
Biostatistics Conference
Joint Statistical Meetings - - JSM 2020, Philadelphia, PA Biostatistics Conference
Joint Statistical Meetings - - JSM 2020, Philadelphia, PA
Sat 8/1/2020 to Thu 8/6/2020


The Joint Statistical Meetings, known simply as "JSM", is the largest gathering of statisticians held annually in North American. Faculty and student presenters from the  Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations. Our students often receive top awards and participate in the affiliated career marketplace at the event.


Sun 3/14/2021 to Wed 3/17/2021
Biostatistics Conference
ENAR 2021 Spring Meeting of the International Biometric Society -- Baltimore Biostatistics Conference
ENAR 2021 Spring Meeting of the International Biometric Society -- Baltimore
Sun 3/14/2021 to Wed 3/17/2021


Meetings of the Eastern North American Region of the International Biometric Society (a.k.a. "ENAR meetings") are held in late March or early April each year and reflect the broad interests of the Society, including both quantitative techniques and application areas. Faculty and student presenters from the Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations.


Sat 8/7/2021 to Thu 8/12/2021
Biostatistics Conference
Joint Statistical Meetings - - JSM 2021, Seattle, WA Biostatistics Conference
Joint Statistical Meetings - - JSM 2021, Seattle, WA
Sat 8/7/2021 to Thu 8/12/2021


The Joint Statistical Meetings, known simply as "JSM", is the largest gathering of statisticians held annually in North American. Faculty and student presenters from the  Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations. Our students often receive top awards and participate in the affiliated career marketplace at the event.


Sun 3/27/2022 to Wed 3/30/2022
Biostatistics Conference
ENAR 2022 Spring Meeting of the International Biometric Society -- Houston Biostatistics Conference
ENAR 2022 Spring Meeting of the International Biometric Society -- Houston
Sun 3/27/2022 to Wed 3/30/2022


Meetings of the Eastern North American Region of the International Biometric Society (a.k.a. "ENAR meetings") are held in late March or early April each year and reflect the broad interests of the Society, including both quantitative techniques and application areas. Faculty and student presenters from the Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations.


Sat 8/6/2022 to Thu 8/11/2022
Biostatistics Conference
Joint Statistical Meetings - - JSM 2022, Washington, DC Biostatistics Conference
Joint Statistical Meetings - - JSM 2022, Washington, DC
Sat 8/6/2022 to Thu 8/11/2022


The Joint Statistical Meetings, known simply as "JSM", is the largest gathering of statisticians held annually in North American. Faculty and student presenters from the  Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations. Our students often receive top awards and participate in the affiliated career marketplace at the event.


Recent Events

Biostatistics Dissertation Defense

Shannon Woolley: "Tests for Random Signs Censoring in Competing Risks"

Monday 4/10 2:00PM - 4:00PM
7139 Public Health, Peterson Seminar Room

Shannon Woolley of the Department of Biostatistics defends her dissertation on "Tests for Random Signs Censoring in Competing Risks"

Graduate faculty of the University and all other interested parties are invited to attend.


ABSTRACT:

In the setting of competing risks, the marginal survival functions of the latent failure times are nonidentifiable without making further assumptions about the joint distribution, the majority of which are untestable. One exception is the random signs censoring assumption which assumes the main event time is independent of the indicator that the main event preceded the competing event. Few methods exist to formally test this assumption, and none consider a stratified test, which detects whether random signs censoring is met within subgroups of a categorical covariate. We develop a nonparametric stratified test for random signs censoring that is easy to implement. In addition, it is often of interest to model the effects of several covariates in relation to the cause of interest. Thus, as an extension of the stratified test, we also propose a test for conditional random signs censoring, which allows for the random signs censoring assumption to be met after adjusting for categorical and/or continuous covariates. Through Monte Carlo simulations, we show our proposed test statistics have empirical levels close to the nominal level and maintain adequate power even with relatively small sample sizes and random right censoring. Compared to the standard test, both of our proposed tests have nearly equivalent power under random signs censoring and are superior in situations of stratified or conditional random signs censoring, where the standard test fails to detect random signs censoring within subgroups or after adjusting for covariates, respectively. Their ease of implementation and utility are illustrated through an application to liver transplant data from the United Network for Organ Sharing. Public Health Significance: Clinicians must make decisions affecting patients’ lives using the information available to them. Relying on research results based on models that use unverifiable assumptions can lead to inaccurate conclusions. The methods proposed here offer a solution to allow for more accurate modeling of marginal survival functions with competing risk data. Through use of these new methods, patient outcomes can be improved over time.

Last Updated On Friday, July 7, 2017 by Valenti, Renee Nerozzi
Created On Monday, March 13, 2017

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