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Olga V. Demler, Ph.D.

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Overview
As a biostatistician working at the Division of Preventive Medicine at Brigham and Women’s Hospital, my research interests are three-fold:
1) conducting biomarker discovery studies using high throughput metabolomics and other -omics data;
2) analysis of Electronic Health Records data;
3) methodological statistical research on building valid risk prediction models.
My clinical research focuses on the mechanistic pathways of cardiovascular disease development and progression.

The following publications highlight some of my research activities:

1. Kessler RC, Bauer M, Bishop T, Demler O, Dobscha S, Gildea S, Goulet J, Karras E, Kreyenbuhl J, Landes S, Liu H. Using administrative data to predict suicide after psychiatric hospitalization. Frontiers in Psychiatry. 2020;11:390.

2. Sels D, Dashti H, Mora S, Demler O, Demler E. Quantum approximate Bayesian computation for NMR model inference. arXiv preprint arXiv:1910.14221. 2019 Oct 31.

3. Antonelli J, Claggett BL, Henglin M, Kim A, Ovsak G, Kim N, Deng K, Rao K, Tyagi O, Watrous JD, Lagerborg KA, Hushcha PV, Demler OV, Mora S, Niiranen TJ, Pereira AC, Jain M, Cheng S. Statistical Workflow for Feature Selection in Human Metabolomics Data. Metabolites. 2019 Jul 12; 9(7). PMID: 31336989.

4. Demler OV, Pencina MJ, Cook NR, D'Agostino RB. Asymptotic distribution of AUC, NRIs, and IDI based on theory of U-statistics. Stat Med. 2017 Sep 20; 36(21):3334-3360. PMID: 28627112.

5. Demler OV, Paynter NP, Cook NR. Tests of calibration and goodness-of-fit in the survival setting. Stat Med. 2015 May 10; 34(10):1659-80. PMID: 25684707.

6. Demler OV, Pencina MJ, D'Agostino RB. Impact of correlation on predictive ability of biomarkers. Stat Med. 2013 Oct 30; 32(24):4196-210. PMID: 23640729.

Research
The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
  1. 17IGMV33860009 (Olga V Demler) Jan 1, 2020 - Mar 31, 2021
    American Hearth Association
    Flexible Framework for Cardiovascular Risk Prediction in a Clinical Setting
    Role Description: The goal of this grant is to evaluate the improvement in prediction using a Flexible Framework. This framework can handle limited information or additional risk factors by combining multiple risk models including both externally derived and validated risk scores as well as models using historic EHR data.
    Role: Principal Investigator
  2. K01HL135342 (DEMLER, OLGA) Dec 15, 2016 - Nov 30, 2021
    NIH
    CHD Risk and Metabolomic Profiles of Discordant Lipids
    Role Description: Accurate assessment of cardiovascular risk in the clinical setting is important for appropriate management and counseling of patients. Current US guidelines focus on a single risk score, which does not facilitate inclusion of additional known risk factors or allow for assessment of risk with more limited information, both of which occur in clinical practice. With the growing availability of electronic health record (EHR) data, methods for using all available information to succinctly identify the best course of care are increasingly important. This grant will evaluate the improvement in prediction using a Flexible Framework. This framework can handle limited information or additional risk factors by combining multiple risk models including both externally derived and validated risk scores as well as models using historic EHR data. The results of this project will form the basis for subsequent development of a cloud-based tool for use across software platforms.
    Role: Principal Investigator

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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.