GWU STATISTICS

WELCOME BACK EVERYONE! 📚🖊

HAPPY 2023!!🎉

Let's have a great Spring semester!

WELCOME BACK STUDENTS!!! 📚

We hope you have successful Fall semester!

GW STAT Alumni Reception at the JSM 2022

RSVP: https://connect.gwu.edu/site/Calendar/1606272513?view=Detail&id=119269
Date & Time: Monday, August 8th, 6-8p
Venue:
Marriott Marquis Cherry Blossom room (2nd floor)
901 Massachusetts Ave NW
Washington, DC 20001

GW's Department of Statistics will be hosting an alumni reception in conjunction with the 2022 Joint Statistical Meetings Conference in Washington, D.C. This event is open to all GW Department of Statistics alumni. Reconnect with faculty and network with fellow alumni and statistics/ industry professionals.
There is no cost to attend and appetizers and beverages will be provided. Please register your attendance in advance (by August 4th). You do not have to be registered for JSM itself in order to attend this alumni reception.

A note about COVID-19: The health and well-being of GW students, alumni, friends, faculty, and staff remains a top priority for GW and all alumni events will proceed in compliance with all state, local, and public health guidelines.

Statistics Alumni JSM Reception 08-08-2022 - The George Washington University Please join GW's Department of Statistics for an alumni reception to be held in conjunction with the 2022 Joint Statistical Meetings Conference in Washington, D.C. This event is open to all GW Department of Statistics alumni and their guests. Reconnect with faculty and network with fellow alumni and...

In Loving Memory of Professor Nozer Singpurwalla 💐🕊

https://www.legacy.com/us/obituaries/washingtonpost/name/nozer-singpurwalla-obituary?id=36089490

Nozer D. Singpurwalla Obituary (2022) The Washington Post View Nozer D. Singpurwalla's obituary, send flowers and sign the guestbook.

GWU STATISTICS updated their phone number.

The Statistics Department is sad to announce that Professor Nozer Singpurwalla has passed away. We appreciate his efforts & dedication to the department. He will truly be missed 🕊❤

We hope you are enjoying your summer!!! 🌤

Hello Everyone!

Join us online for a discussion about how the MS program in Statistics can take your career to the next level. Learn about the admission requirements, courses required, and career outcomes. You will receive an application fee waiver for attending.

Whether you are experienced in this field or a career-changer, we look forward to speaking with you about this dynamic and exciting program!

When:
Fri, March 4, 2022

10:00 a.m.

Where:
Online

Please click the link below for further information.

https://calendar.gwu.edu/information-session-statistics-ms-0

Information Session: Statistics (MS) | University Calendar | The George Washington University Friday, March 4, 2022 - 10:00am

Welcome Back Students! Have a great Fall semester 😀

Hello All! JSM 2019 is coming up, please see details below.....See you there!!

This invite is to all George Washington University Alumni and Friends. The reception will be held as follows:

Date: Tuesday, 7/30/2019

Start Time: 6:00 PM

End Time: 7:30 PM

Room Name: H-Mineral Hall B

Location: Hyatt Regency Denver (650 15th Street, Denver CO 80202)

HELLO ALL!!!

Please join the George Washington University's Department of Statistics for our annual alumni reception held in conjunction with the 2018 Joint Statistical Meeting in Vancouver. This event is open to all GW statistics alumni and their guests.

Mingle with friends and faculty, meet current students, and network with fellow alumni and statistics professionals! Light hors d'oeuvres and complimentary drinks will be provided.

Sponsored by the Columbian College of Arts and Sciences Alumni Office and the Department of Statistics.

GW Alumni Reception at the 2018 Joint Statistical Meeting (Vancouver)

Time: 6 - 7:30 pm
Location: Vancouver Convention Centre
1055 Canada Pl
Room: East 20
Vancouver, BC V6C 0C3

Hello Everyone! Don't forget to attend the upcoming JSM Reception!!! Details are below 🤗

Meeting Title: George Washington University Alumni and Friends Reception

Date: Tuesday, 7/31/2018

Start Time: 6:00 PM

End Time: 7:30 PM

Room Name: CC-East 20

GWU STATISTICS SEMINAR SERIES

Title: Innovated Power Enhancement Tests for Complex and High Dimensional Data
Speaker: Lingzhou Xue, Penn State

Location: Duques Hall, Room 152 (2201 G St. NW, Washington, DC 20052)
Date & Time: April 20, Friday (11 AM-noon)

ABSTRACT: In the current literature, two sets of test statistics are commonly used for high-dimensional tests: 1) using extreme-value form statistics to test against sparse alternatives, and 2) using quadratic form statistics to test against dense alternatives. However, quadratic form statistics suffer from low power against sparse alternatives, and extreme-value form statistics suffer from low power against dense alternatives with small disturbances and may have size distortions due to its slow convergence. For real-world applications, it is important to derive powerful testing procedures against more general alternatives. Based on their joint limiting laws, we introduce a new general power enhancement testing procedure to boost the power against more general alternatives and retain the correct asymptotic size. Under the high-dimensional setting, we derive the closed-form limiting null distributions, and obtain their explicit rates of uniform convergence. The proposed power enhancement test is demonstrated in various parametric and nonparametric tests for high-dimensional means, banded covariances, spiked covariances, and so on. We demonstrate the finite-sample performance of our proposed testing procedures in both simulation studies and real applications.

(The talk will be live-streamed at http://go.gwu.edu/statsseminar)

Email

GWU STATISTICS SEMINAR SERIES

TITLE: Semiparametric regression analysis for composite endpoints subject to component-wise censoring
SPEAKER: Guoqing Diao, George Mason University, Statistics

Location: DUQUES HALL, Room 254 (2201 G St. NW, Washington, DC 20052)
(please note the room change)

Date & Time: April 13, Friday (11 AM-noon)

ABSTRACT:

Composite endpoints with censored data are commonly used as study outcomes in clinical trials. For example, progression-free survival is a widely used composite endpoint, with disease progression and death as the two components. Progression-free survival time is often defined as the time from randomization to the earlier occurrence of disease progression or death from any cause. The censoring times of the two components could be different for patients not experiencing the endpoint event. Conventional approaches, such as taking the minimum of the censoring times of the two components as the censoring time for progression free survival time, may suffer from efficiency loss and could produce biased estimates of the treatment effect. We propose a new likelihood-based approach that decomposes the endpoints and models both the progression-free survival time and time from disease progression to death. The censoring times for different components are distinguished. The approach makes full use of available information and provides a direct and improved estimate of the treatment effect on progression-free survival time. Simulations demonstrate that the proposed method outperforms several other approaches and is robust to various model misspecifications. An application to a prostate cancer clinical trial is provided.

(The talk will be live-streamed at http://go.gwu.edu/statsseminar)

Email