Liqun Wang, University of Manitoba

Research

Boundary crossing probablity Brownian motion and diffusion processes Frist passage time High-dimensional regression models Instrumental variables method Lifetime data analysis Measurement error models Regularized regression

Latest papers

Detection of SARS-CoV-2 RNA throughout wastewater treatment plants and a modeling approach to understand COVID-19 infection dynamics in Winnipeg, Canada.
The Science of the total environment · 2022
Identifying an early treatment window for predicting breast cancer response to neoadjuvant chemotherapy using immunohistopathology and hemoglobin parameters.
Breast cancer research : BCR · 2018
A new approach for quantifying change and test precision in bone densitometry.
Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry · 2007 · senior author

All 3 publications

Latest funding

Stochastic Modeling and Semiparametric Inference for Complex Data
NSERC · 2023 · Principal investigator
$54,000
Semiparametic Efficient Inference Methods in Complex Data Models
NSERC · 2016 · Principal investigator
$198,000
Computational Resources for Statistical Research
NSERC · 2012 · Co-investigator
$31,013

All 8 grants and awards

3 publications.

01

Detection of SARS-CoV-2 RNA throughout wastewater treatment plants and a modeling approach to understand COVID-19 infection dynamics in Winnipeg, Canada.

Yanaç K, Adegoke A, Wang L, Uyaguari M, Yuan Q

The Science of the total environment2022

DOI: 10.1016/j.scitotenv.2022.153906 PMID: 35218826

02

Identifying an early treatment window for predicting breast cancer response to neoadjuvant chemotherapy using immunohistopathology and hemoglobin parameters.

Zhu Q, Tannenbaum S, Kurtzman SH, DeFusco P, Ricci A, Vavadi H, Zhou F, Xu C, Merkulov A, Hegde P, Kane M, Wang L, Sabbath K

Breast cancer research : BCR2018

DOI: 10.1186/s13058-018-0975-1 PMID: 29898762

03

A new approach for quantifying change and test precision in bone densitometry.

Leslie WD, Moayyeri A, Sadatsafavi M, Wang L

Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry2007Senior author

DOI: 10.1016/j.jocd.2007.08.002 PMID: 17888697

Stochastic Modeling and Semiparametric Inference for Complex Data

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Wang, Liqun

Keywords: measurement error models; instrumental variables method; high-dimensional regression models; variable selection; regularized regression; frist passage time; brownian motion and diffusion processes; boundary crossing probablity; lifetime data analysis; survival distribution

$54,000

Semiparametic Efficient Inference Methods in Complex Data Models

Principal investigatorNSERC2016Discovery Grants Program - Individual

Principal investigators: Wang, Liqun

$198,000

Computational Resources for Statistical Research

Co-investigatorNSERC2012Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Leblanc, Alexandre

$31,013

Nonlinear statistical inference and boundary crossing probabilities

Principal investigatorNSERC2009Discovery Grants Program - Individual

Principal investigators: Wang, Liqun

$174,000

High-performance workstation for statistical computation

Principal investigatorNSERC2005Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Wang, Liqun

$20,000

Stochastic modeling and simulation based methods

Principal investigatorNSERC2004Discovery Grants Program - Individual

Principal investigators: Wang, Liqun

$100,000

Station and server for simulations and statistical applications

Co-investigatorNSERC2000Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Cheng, Smiley

$25,067

Nonlinear systems and simulation methods

Principal investigatorNSERC2000Discovery Grants Program - Individual

Principal investigators: Wang, Liqun

$40,000

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

Frequent collaborators

Department of Statistics
Microbiology
Civil Engineering

Co-authors at University of Manitoba, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Miguel Uyaguari

Microbiology

1 shared papers, latest 2022

Qiuyan Yuan

Civil Engineering

1 shared papers, latest 2022

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2023

Subject: Prospective PhD student: Boundary crossing probablity Dear Professor Wang, 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 "Detection of SARS-CoV-2 RNA throughout wastewater treatment plants and a modeling approach to understand COVID-19 infection dynamics in Winnipeg, Canada." (2022), 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 "Stochastic Modeling and Semiparametric Inference for Complex Data" (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]