Biostatistics Events

Biostatistics Departmental Calendar

Event
Mon 6/1/2020 11:00AM - 1:00PM
Biostatistics Dissertation Defense
Jun Zhang-Interpretable Analysis of Multivariate Functional Data-ONLINE Biostatistics Dissertation Defense
Jun Zhang-Interpretable Analysis of Multivariate Functional Data-ONLINE
Mon 6/1/2020 11:00AM - 1:00PM
** Online/Virtual Event **

Jun Zhang of the Department of Biostatistics defends her dissertation on "Interpretable Analysis of Multivariate Functional Data". 


** Online/Virtual Event **
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 Seminar Series

Amita Manatunga, Emory - A Modeling Approach for Predicting Disease Status Using Functional Data...

Thursday 2/2 3:30PM - 4:30PM
Public Health Auditorium (G23)

Biostatistics Seminar speaker, Dr. Amita Manatunga, Emory University, will present, “A Modeling Approach for Predicting Disease Status Using Functional Data in the Absence of a Gold Standard.”

Statistical methods can play a vital role in risk predictions that can help to inform patients as well as to guide important medical decision-making. Data from clinical studies involving risk predictions provide a wealth of opportunities for statistical research in particular to the development of prediction models and their evaluations. Based on our recently funded NIH statistical methodological grant, I will introduce a specific clinical decision making problem in nuclear medicine, present its statistical challenges and discuss some potential solutions. In our study, two consecutive curves over time are observed per subject and in some cases, the second curve for some subjects are not observed. There is no gold standard for determining disease status, instead, the ratings for disease status from multiple experts are available  We consider a latent class modeling approach for predicting disease status of a subject based on observed functional data and its ratings from multiple experts. I will present our preliminary work including the modeling procedure, prediction models consisting of several prediction schemes, and their evaluation via simulation studies. I will demonstrate the practicality of our method using a preliminary renal study, which motivated the grant application.  The proposed modeling procedure reasonably captures the patterns of observed curves and provide sensible clinical interpretations. I will conclude with a brief discussion of future work.

Last Updated On Tuesday, January 24, 2017 by Kapko, Bernadette E
Created On Monday, December 19, 2016

AprMay 2020Jun
SunMonTueWedThuFriSat
262728293012
3456789
10111213141516
17181920212223
24252627282930
31123456

Submit events and news

Click to enter calendar events or share news and announcements.