American Statistical Association
New York City
Metropolitan Area Chapter

Memorial Sloan Kettering Cancer Center
Department of Epidemiology and Biostatistics
Biostatistics Seminar Series


Irina Ostrovnaya, Ph.D.
Department of Epidemiology and Biostatistics
Memorial Sloan Kettering Cancer Center

IDENTIFYING PROGNOSTIC PAIRWISE RELATIONSHIPS
BETWEEN VARIABLES USING STABILITY SELECTION,
WITH APPLICATION TO MICROBIOME DATA

In many high-throughput applications 'omics features can jointly affect the outcome in a complex way. One example of it is microbiome data, where microbes are known to interact and compete for the same resources. Understanding these complex relationships may help further elucidate the association between the microbiome and human health. In this talk we propose to explore the associations between the outcome and pairwise relationships between features, e.g. bacterial abundances, using a modification of the stability selection algorithm. It combines subsampling with penalized regression to identify important feature pairs while minimizing the number of false positives.

This is joint work with Sean Devlin.


Date: Wednesday, May 24, 2017
Time: 4:00 - 5:00 P.M.
Location: Memorial Sloan Kettering Cancer Center
Department of Epidemiology and Biostatistics
485 Lexington Avenue
(Between 46th & 47th Streets)
2nd Floor, Conference Room B
New York, New York

**Outside visitors please email celeat@mskcc.org for building access.
You must be on the security list to enter the floor.

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