Elif Acar, University of Manitoba

Research

Copula models High throughput data Latent variables Longitudinal data Measurement error Meta-analysis Mixed-effects models Reproducibility

Latest papers

Suppressor mutations in Mecp2-null mice implicate the DNA damage response in Rett syndrome pathology.
Genome research · 2020

All 1 publications

Latest funding

One Health Approaches to Statistical Modelling
NSERC · 2023 · Principal investigator
$95,000
Dependence Models for Complex and Massive Data
NSERC · 2020 · Principal investigator
$96,000
Flexible Dependence Models for Multivariate Data
NSERC · 2013 · Principal investigator
$120,000

All 3 grants and awards

1 publications.

01

Suppressor mutations in Mecp2-null mice implicate the DNA damage response in Rett syndrome pathology.

Enikanolaiye A, Ruston J, Zeng R, Taylor C, Schrock M, Buchovecky CM, Shendure J, Acar E, Justice MJ

Genome research2020

DOI: 10.1101/gr.258400.119 PMID: 32317254

One Health Approaches to Statistical Modelling

Principal investigatorNSERC2023Canada Research Chairs

Principal investigators: Acar, Elif

Keywords: multi-source data; incomplete data; replicability; meta-analysis; automated statistical pipelines; data integration; high-dimensional data; nonparametric methods; One Health

$95,000

Dependence Models for Complex and Massive Data

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Acar, Elif

Keywords: copula models; survival analysis; semi-parametric methods; measurement error; latent variables; longitudinal data; mixed-effects models; high throughput data; meta-analysis; reproducibility

$96,000

Flexible Dependence Models for Multivariate Data

Principal investigatorNSERC2013Discovery Grants Program - Individual

Principal investigators: Acar, Elif

$120,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their NSERC grant from 2023

Subject: Prospective PhD student: Copula models Dear Professor Acar, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Suppressor mutations in Mecp2-null mice implicate the DNA damage response in Rett syndrome pathology." (2020), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "One Health Approaches to Statistical Modelling" (2023), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]