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Biostatistics Seminars

Department of Biostatistics Seminar Series


The Department of Biostatistics presents a regular speaker series each semester, generally on Thursday afternoon each week. Diverse experts lecture on their work in biostatistics.

Upcoming Biostats Seminars

Thu 9/27/2018 3:30PM - 4:30PM
Hyun Jung (HJ) Park, University of Pittsburgh
Public Health Auditorium (G23)

Hyun Jung (HJ) Park, Department of Human Genetics, University of Pittsburgh, will present, “Insights into RNA Biology from Statistical Modeling for CancerTherapeutics”.
Thu 10/4/2018 3:30PM - 4:30PM
Peter X.K. Song, University of Michigan
Public Health Auditorium (G23)

Peter X.K. Song, Department of Biostatistics, University of Michigan, will present, “HASS: Hybrid Algorithm for Subgroup Search via ADMM and EM Algorithms”.
Thu 10/25/2018 3:30PM - 4:30PM
Dana L. Tudorascu, University of Pittsburgh
Public Health Auditorium (G23)

Thu 11/1/2018 3:30PM - 4:30PM
Jingyi (Jessica) Li, University of California, Los Angeles
Public Health Auditorium (G23)

Thu 11/8/2018 3:30PM - 4:30PM
Hongzhe Li (Lee), University of Pennsylvania
Public Health Auditorium (G23)

Thu 11/29/2018 3:30PM - 4:30PM
Dulal K. Bhaumik, University of Illinois at Chicago
Public Health Auditorium (G23)

Previous Biostats Seminars

Biostatistics Seminar Series

Nonparametric Procedures for Testing Order Among Multivariate Distributions - Shyamal D. Peddada

Thursday 2/15 3:30PM - 4:30PM
Public Health Auditorium (G23)

Shyamal D. Peddada, PhD, Professor & Chair, Department of Biostatistics, will present, "Nonparametric procedures for testing order among multivariate distributions."

Comparison of two or more ordered experimental groups on the basis of multivariate data is a common problem of interest in a wide range of applications such as in economics, finance, toxicology, clinical trials, etc.  Marginally, not only are the data not normally distributed, the shape of the distribution may even change with population (or experimental groups).  Thus the data are not likely to be multivariate normally distributed. Secondly, from an application point of view, often researchers are not only interested in determining whether the experimental groups are different from each other but whether they are “ordered” (in some sense) in the response vector.  Since the shape of the distribution may change over the experimental groups, it may not be sufficient or even meaningful to compare the mean vectors.  For example, even though the population means are identical the probability distributions could be very different. Consequently, standard multivariate methods such as the multivariate analysis of variance (MANOVA) may not suitable.   In this talk we describe some notions of stochastic ordering of multivariate random vectors and develop methodologies for testing such orders.  Resulting methodologies are illustrated using some examples from toxicology.  Time permitting, we shall discuss multivariate tests for the case of nearly singular distributions that can occur due to high dimensionality.  

Last Updated On Monday, February 12, 2018 by Temp, GSPH Marketing & Development
Created On Tuesday, February 06, 2018

Contact

For information on seminars and events in the department, contact:

Bernadette Kapko
bkapko@pitt.edu
412-624-3022

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