Remote Service Due to Covid-19
The department is fully remote at this time. Operating hours are Monday through Friday, regular business hours. You can reach us in the following ways . . .
Virtual Front Desk
Our virtual front desk uses the Zoom video conferencing tool. Zoom is available externally to all users at pdx.zoom.us. If you don’t have a laptop or desktop computer, you can use Zoom on your mobile device to join either session.
Choose a time to access the virtual front desk by clicking on a Zoom meeting link below:
with Constance:
9:30-10:30AM
2:00-3:00PM
with Kathie:
10:30-11:30AM (cancelled Friday, Monday and Tuesday, April 23, 26, 27)
1:00-2:00PM (cancelled Friday, Monday and Tuesday, April 23, 26, 27)
(Students: please include your PSU ID number in all communication)
Undergraduate Advising Questions: mathstatadvising@pdx.edu
Math Placement Test Questions: mathplacement@pdx.edu
Course/class Instruction Questions: Please email the instructor directly. Instructor email links are listed as part of the course information in the Course Schedule as well as in our Department Directory.
Graduate Advising Questions: Please email the Graduate Program Adviser
Graduate Admissions/Application Questions: mathstatgrad@pdx.edu
Other questions: mthdept@pdx.edu
Phone
Main department line: 503-725-3621 (Voicemail checked on a regular basis)
All phone numbers for department employees are listed in our Department Directory.
Upcoming events
Statistics Journal Club Winter Meeting
Statistics Journal Club Winter Meeting
Dr. Naghmeh Daneshi will be giving a talk on "An Introduction to the Analysis of Clinical Trials". This talk…
Add to my Calendar
2021-02-26 14:00:00
2021-02-26 15:00:00
Statistics Journal Club Winter Meeting
Statistics Journal Club Winter Meeting
Dr. Naghmeh Daneshi will be giving a talk on "An Introduction to the Analysis of Clinical Trials". This talk will be very informative to anybody considering a career or doing research involving sensitive data from human subjects.
We are meeting this Friday, February 26th at 2 pm via Zoom. The link to the Zoom meeting is https://pdx.zoom.us/j/81302629565
Here is the abstract of the talk:
There are certain protocols and trainings that need to be considered in any research involving human subjects. This talk will give a brief introduction about such research, human subjects and sensitive groups’ rights in the research. The talk is followed by introducing some famous designs in biostatistics. Another important piece in the data analysis of medical studies is preparation of a statistical analysis plan (SAP). I will introduce the basics and rationales of a SAP. Lastly, I will give an example to illustrate the difference between building a statistical model versus doing analysis using SAP.
Zoom meeting is https://pdx.zoom.us/j/81302629565
Michael Gray, mtgray@pdx.edu
Michael Gray, mtgray@pdx.edu
America/Los_Angeles
public
Allyson Meyers - STAT 501 Presentation
Allyson Meyers
will give a talk on the following statistical…
Add to my Calendar
2021-03-12 14:00:00
2021-03-12 15:00:00
Allyson Meyers - STAT 501 Presentation
Allyson Meyers
will give a talk on the following statistical literature and problems project
in partial fulfillment of requirements for the
Master of Science in Statistics
“Comparative Analysis of Cerebrovascular Accident (CVA) Events using Survival Analysis and Bootstrap Methods”
Abstract:
This presentation will be based on an anonymous teaching dataset referencing the 1948 Framingham Heart Study, which was conducted by the National Heart, Lung, and Blood Institute. The main purpose of this presentation is to analyze right censored data using both survival analysis and bootstrap methods. The goal of this project is to study the survival time of Cerebrovascular Accident (CVA) events which are most commonly known as strokes. According to the American Heart Association (AHA), “a stroke occurs when the blood supply to the brain is blocked or when a blood vessel in the brain bursts (or ruptures), causing parts of the brain to become damaged or die” [16]. Characteristics of stroke patients, such as sex (SEX), age (AGE), use of cigarettes (SMOKER) and diabetes (DIAB) will all be studied and analyzed. The following survival analysis methods will be used to test the equality between two different sample groups: Kaplan-Meier estimates, Kaplan-Meier survival curves and the Log-Rank Test (LRT). In addition to this, hypothesis tests for the difference of means between each group will be tested and compared using a Two-Sample Z-test and Bootstrap-t Test. Each of these tests will then be analyzed using a standard normal critical value and bootstrap-t critical value at the 5% significance level. Finally, we will use a simulation of right-censored datasets (with known distributions and true means) to validate the accuracy and reliability of each hypothesis tested before. These simulations will be based on the overall censoring rate of the project dataset which was found to be 34%. The goal of this simulation is to determine the minimum sample size needed to obtain reliable and accurate results from a Z-test or Bootstrap-t test with right-censored data.
Under the direction of
Dr. Jong Sung Kim
Join Zoom Meeting
https://pdx.zoom.us/j/9202656577
Kathie Leck
Fariborz Maseeh Department of Mathematics + Statistics
mathstatgrad@pdx.edu
Kathie Leck
Fariborz Maseeh Department of Mathematics + Statistics
mathstatgrad@pdx.edu
America/Los_Angeles
public
Maggie Buffum - STAT 501 Presentation
Maggie Buffum
will give a talk on the following statistical literature and problems project
in partial fulfillment of requirements for the…
Add to my Calendar
2021-03-12 13:00:00
2021-03-12 14:00:00
Maggie Buffum - STAT 501 Presentation
Maggie Buffum
will give a talk on the following statistical literature and problems project
in partial fulfillment of requirements for the
Master of Science in Statistics
“Predicting Heating Systems from Hourly Electricity and Utility Customer Data”
Abstract: The evaluation of the Utility's (kept anonymous) residential smart thermostat demand response (DR) programs for winter 2018/2019 revealed that the average electricity demand reduction per customer was less than expected and lower than those in winter 2017/2018. The evaluation suggested that changes in program eligibility screening for participants in fall 2018 resulted in the program enrolling residential customers who did not use electricity as their primary space heating fuel or enrolled their devices with non-controllable heating systems, which lowered the average demand reduction per customer and the program cost-effectiveness. To improve program performance and better target marketing efforts, the Utility seeks to find methods to identify candidate enrollees who do not use electricity as their primary space heating fuel. The Utility is also interested in distinguishing between heating system types, since not all electric heating systems are controllable under the current DR offerings or are expected to generate equal load impacts. The aim of this study is to develop a model that can accurately predict heating system types for individual Utility customers interested in participating in the DR program. For the study, the Utility provided pre-enrollment hourly consumption data and customer information for customers enrolled in the 2019/2020 program, all of whom enrolled under the 2018/2019 program eligibility screening methods but whose heating system types were later verified directly by the Utility. The analysis focuses on two predictive methods: multinomial logistic regression with hyperparameter tuning and random forest classifiers.
Under the direction of
Dr. Ge Zhao
Join Zoom Meeting
https://pdx.zoom.us/j/6268152440
Kathie Leck
Fariborz Maseeh Department of Mathematics + Statistics
mathstatgrad@pdx.edu
Kathie Leck
Fariborz Maseeh Department of Mathematics + Statistics
mathstatgrad@pdx.edu
America/Los_Angeles
public
Mathematics Professor Dr. Steven Bleiler explains the odds of winning…
by Kathie Leck January 19, 2021
Koin 6 News interviewed PSU Mathematics Professor Steven Bleiler regarding the odds of winning the Mega Millions or Powerball jackpot. See the full interview on the Koin 6…
Introducing our newest faculty - Dr. Dorcas Ofori-Boateng
Dr. Dorcas Ofori-Boateng joins the Mathematics + Statistics Department as Assistant Professor of Data Science. She will be part of the new Bachelor of Science in Data Science program starting in Fall 2020. Dr. Ofori-Boateng recently defended her dissertation at the University of Texas at Dallas.
