Biostatistics Events

Biostatistics Departmental Calendar

Event Category
Thu 9/12/2019 3:30PM - 4:30PM
Mingyao Li, University of Pennsylvania Biostatistics Seminar Series
Mingyao Li, University of Pennsylvania
Thu 9/12/2019 3:30PM - 4:30PM
Public Health Lecture Hall (A115)

Mingyao Li, PhD, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania.


Public Health Lecture Hall (A115)
Biostatistics
Seminar Series
Thu 9/19/2019 3:30PM - 4:30PM
Novartis Information Session Biostatistics Seminar Series
Novartis Information Session
Thu 9/19/2019 3:30PM - 4:30PM
Public Health Lecture Hall (A115)


Public Health Lecture Hall (A115)
Biostatistics
Seminar Series
Thu 10/10/2019 3:30PM - 4:30PM
Peter Mueller, University of Texas at Austin Biostatistics Seminar Series
Peter Mueller, University of Texas at Austin
Thu 10/10/2019 3:30PM - 4:30PM
Public Health Lecture Hall (A115)

Peter Mueller, PhD, Department of Mathematics, Department of Statistics and Data Sciences, University of Texas at Austin


Public Health Lecture Hall (A115)
Biostatistics
Seminar Series
Thu 10/24/2019 3:30PM - 4:30PM
Lu Mao, University of Wisconsin-Madison Biostatistics Seminar Series
Lu Mao, University of Wisconsin-Madison
Thu 10/24/2019 3:30PM - 4:30PM
Public Health Lecture Hall (A115)

Lu Mao, PhD, Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison


Public Health Lecture Hall (A115)
Biostatistics
Seminar Series
Thu 11/7/2019 3:30PM - 4:30PM
Snehalata Huzurbazar, West Virginia University Biostatistics Seminar Series
Snehalata Huzurbazar, West Virginia University
Thu 11/7/2019 3:30PM - 4:30PM
Public Health Lecture Hall (A115)

Snehalata Huzurbazar, PhD, Department of Biostatistics, West Virginia University


Public Health Lecture Hall (A115)
Biostatistics
Seminar Series
Sun 3/22/2020 to Wed 3/25/2020
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.


Biostatistics
Conference
Sat 8/1/2020 to Thu 8/6/2020
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.


Biostatistics
Conference
Sun 3/14/2021 to Wed 3/17/2021
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.


Biostatistics
Conference
Sat 8/7/2021 to Thu 8/12/2021
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.


Biostatistics
Conference
Sun 3/27/2022 to Wed 3/30/2022
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.


Biostatistics
Conference
Sat 8/6/2022 to Thu 8/11/2022
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.


Biostatistics
Conference

Recent Events

Biostatistics Dissertation Defense

Christopher Keener - Power and Sample Size Determination for Stepped Wedge Cluster Randomized Trials

Wednesday 7/18 10:00AM - 12:00PM
7139 Public Health, Peterson Seminar Room

Christopher Keener of the Department of Biostatistics defends his dissertation on "Power and Sample Size Determination for Stepped Wedge Cluster Randomized Trials".

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


ABSTRACT:

A stepped wedge trial is a type of cluster randomized trial with unidirectional crossover from control to intervention. In this study, we classified stepped wedge trial designs according to subject recruitment and outcome exposure. Based upon those criteria, we proposed three types of classification, that is, fixed cohort (baseline recruitment with longitudinal exposure), expanding cohort (continuous recruitment with longitudinal exposure), and cross-sectional (continuous recruitment with cross-sectional exposure). For each design type, we proposed a corresponding model for estimating treatment effect. We conducted Monte Carlo simulations to study the impact of design and analytic assumptions on the sample size and power determination. These assumptions include homogeneous or heterogeneous temporal effects between clusters, fixed or time-varying treatment effect, modeling temporal trend through or not through step effects, and choice of correlation structure.  

To investigate how these assumptions were made in the published trials, we conducted a systematic review of 300 stepped wedge trials published up to 2017. From the review we found that more than one fourth of these trials did not make it clear in their reports about the type, the assumptions, or models in estimating treatment effect and sample size calculations. The majority of the trials did not mention the methods for handling missing data. This suggests the need for developing standards of reporting stepped wedge trials like CONSORT for randomized trials or STROBE for observational studies. 

PUBLIC HEALTH SIGNIFICANCE: Stepped wedge trials are popular for evaluating community-based interventions in public health. This research has focused on three areas of improving the design of a stepped wedge trial: classification of key design aspects, power and sample size determination, and modeling method for estimation and inference the effect of an intervention. Sample size determination is important to ensure that the trial is adequately powered. Model misspecification and incorrect analytic assumption both can lead to inflated Type I error rate or an underpowered trial. Our systematic review found that many stepped wedge trials failed to define key aspects and assumptions of their designs when publishing. Thus, use of our classification of stepped wedge trials will improve technical communication on trials commonly used for public health research. 

 

Last Updated On Tuesday, October 09, 2018 by Valenti, Renee Nerozzi
Created On Tuesday, June 12, 2018

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