Changbao Wu, University of Waterloo

Research

Big data Bootstrap and replication methods Complex survey designs Empirical likelihood Non-probability survey samples Privacy and confidentiality Public-use data files Sampling techniques

Latest papers

Causal Inference With Survey Data: A Robust Framework for Propensity Score Weighting in Probability and Non-Probability Samples.
Statistics in medicine · 2026 · senior author
Protocol for validating an algorithm to identify neurocognitive disorders in Canadian Longitudinal Study on Aging participants: an observational study
BMJ Open · 2023
Cohort Profile: The Canadian Longitudinal Study on Aging (CLSA)
International Journal of Epidemiology · 2019

All 7 publications

Latest funding

Canadian Statistical Sciences Institute
NSERC · 2022 · Co-investigator
$3,461,244
Canadian Statistical Sciences Institute DIS Bridge Funding Proposal
NSERC · 2021 · Co-investigator
$483,760
Challenges and Emerging Issues in Official Statistics and Survey Methodology
NSERC · 2020 · Principal investigator
$215,000

All 12 grants and awards

7 publications.

01

Causal Inference With Survey Data: A Robust Framework for Propensity Score Weighting in Probability and Non-Probability Samples.

Liang W, Wu C

Statistics in medicine2026Senior author

DOI: 10.1002/sim.70420 PMID: 41640067

02

Protocol for validating an algorithm to identify neurocognitive disorders in Canadian Longitudinal Study on Aging participants: an observational study

Mayhew AJ, Hogan D, Raina P, Wolfson C, Costa AP, Jones A, Kirkland S, O'Connell M, Taler V, Smith EE

BMJ Open20233 citationsOpen Access

DOI: 10.1136/bmjopen-2023-073027 PMID: W4388126690

03

Cohort Profile: The Canadian Longitudinal Study on Aging (CLSA)

Raina P, Wolfson C, Kirkland S, Griffith LE, Balion C, Cossette B, Dionne I, Hofer S, Hogan D, van den Heuvel ER

International Journal of Epidemiology2019552 citations

DOI: 10.1093/ije/dyz173

04

Secondhand smoke exposure and support for smoke-free policies in cities and rural areas of China from 2009 to 2015: a population-based cohort study (the ITC China Survey).

Sansone G, Fong GT, Yan M, Meng G, Craig L, Xu SS, Quah ACK, Wu C, Feng G, Jiang Y

BMJ open2019

DOI: 10.1136/bmjopen-2019-031891 PMID: 31831539

05

Methods of the International Tobacco Control (ITC) China Survey: Waves 1, 2 and 3.

Wu C, Thompson ME, Fong GT, Jiang Y, Yang Y, Feng G, Quah AC

Tobacco control2015First author

DOI: 10.1136/tobaccocontrol-2014-052025 PMID: 25550421

06

[Degree of exposure to secondhand smoking and related knowledge, attitude among adults in urban China].

Feng G, Jiang Y, Zhao L, Meng G, Wu C, Quah AC, Fong GT

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi2014

PMID: 25492139

07

Methods of the International Tobacco Control (ITC) China Survey.

Wu C, Thompson ME, Fong GT, Li Q, Jiang Y, Yang Y, Feng G

Tobacco control2010First author

DOI: 10.1136/tc.2009.029900 PMID: 19648134

Canadian Statistical Sciences Institute

Co-investigatorNSERC2022Discovery Institutes Support Grants

Principal investigators: Estep, Donald DJ

Keywords: actuarial science; biostatistics; collaboration; data science; interdisciplinary; multidisciplinary; research; statistics

$3,461,244

Canadian Statistical Sciences Institute DIS Bridge Funding Proposal

Co-investigatorNSERC2021Discovery Institutes Support Grants Bridge Funding Opportunity

Principal investigators: Estep, Donald

$483,760

Challenges and Emerging Issues in Official Statistics and Survey Methodology

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Wu, Changbao

Keywords: complex survey designs; non-probability survey samples; public-use data files; bootstrap and replication methods; sampling techniques; privacy and confidentiality; empirical likelihood; big data

$215,000

Evaluating and Understanding the Impact of Tobacco Control Policies of the WHO Framework Convention on Tobacco Control in a Rapidly Changing Global Tobacco Market: The International Tobacco Control Policy Evaluation Project

Co-investigatorCIHR2015Foundation Grant

Principal investigators: Fong, Geoffrey T

Keywords: Cancer Prevention; Cohort Survey; Framework Convention On Tobacco Control; Global Health; Health Policy; Population Health; Tobacco Use

$11,318,248

Efficiency, Sparsity and Validity in Analyzing Complex Survey Data

Principal investigatorNSERC2015Discovery Grants Program - Individual

Principal investigators: Wu, Changbao

$155,000

The International Tobacco Control Policy Evaluation Project: Evaluating the impact of the WHO Framework Convention on Tobacco Control With an Emphasis on Low and Middle Income Countries

Co-investigatorCIHR2011Operating Grant

Principal investigators: Fong, Geoffrey T

Keywords: Cancer Prevention; Cohort Survey; Evaluation; Framework Convention On Tobacco Control; Global Health; Health Policy; International; Population Health; Tobacco Use

$7,432,471

Efficient imputation and resampling methods for analyzing complex survey data

Principal investigatorNSERC2010Discovery Grants Program - Individual

Principal investigators: Wu, Changbao

$100,000

MPrime Network (formerly MITACS) / Réseau MPrime (autrefois MITACS)

Co-investigatorNSERC2009Networks of Centres of Excellence

Principal investigators: Gupta, Arvind

$12,553,000

Mathematics of Information Technology and Complex Systems/Les mathématiques des technologies de l'information et des systèmes complexes

Co-investigatorNSERC2005Networks of Centres of Excellence

Principal investigators: Gupta, Arvind

$17,419,000

Empirical likelihood methods for finite populations

Principal investigatorNSERC2005Discovery Grants Program - Individual

Principal investigators: Wu, Changbao

$105,000

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

Lauren Griffith and Parminder Raina: 125 shared papers
Aaron Jones and Andrew Costa: 103 shared papers
Andrew Costa and Lauren Griffith: 44 shared papers
Parminder Raina and Cynthia Balion: 43 shared papers
Parminder Raina and Christina Wolfson: 39 shared papers
Lauren Griffith and Christina Wolfson: 34 shared papers
Lauren Griffith and Jinhui Ma: 30 shared papers
Parminder Raina and Susan Kirkland: 30 shared papers
Lauren Griffith and Susan Kirkland: 29 shared papers
Parminder Raina and Jinhui Ma: 27 shared papers
Andrew Costa and Parminder Raina: 26 shared papers
Christina Wolfson and Susan Kirkland: 26 shared papers
Lauren Griffith and Christopher Patterson: 23 shared papers
Aaron Jones and Lauren Griffith: 22 shared papers
Lauren Griffith and Cynthia Balion: 19 shared papers
Parminder Raina and Christopher Patterson: 19 shared papers
Aaron Jones and Parminder Raina: 16 shared papers
Harry Samuel Shannon and Parminder Raina: 13 shared papers
Lauren Griffith and Vanessa Taler: 12 shared papers
Harry Samuel Shannon and Lauren Griffith: 11 shared papers
Parminder Raina and Vanessa Taler: 11 shared papers
Christina Wolfson and Vanessa Taler: 11 shared papers
Cynthia Balion and Christina Wolfson: 10 shared papers
Lauren Griffith and Mary Thompson: 9 shared papers
Parminder Raina and Mary Thompson: 9 shared papers
Lauren Griffith and Teresa Liu-Ambrose: 8 shared papers
Lauren Griffith and Holly Tuokko: 8 shared papers
Lauren Griffith and Andrew Wister: 8 shared papers
Parminder Raina and Teresa Liu-Ambrose: 8 shared papers
Cynthia Balion and Christopher Patterson: 8 shared papers
Parminder Raina and Holly Tuokko: 7 shared papers
Christina Wolfson and Teresa Liu-Ambrose: 6 shared papers
Christina Wolfson and Andrew Wister: 6 shared papers
Christina Wolfson and Mary Thompson: 6 shared papers
Holly Tuokko and Susan Kirkland: 6 shared papers
Parminder Raina and Andrew Wister: 5 shared papers
Aaron Jones and Jinhui Ma: 4 shared papers
Harry Samuel Shannon and Cynthia Balion: 4 shared papers
Parminder Raina and Verena Menec: 4 shared papers
Verena Menec and Megan O'Connell: 4 shared papers
Lauren Griffith and Verena Menec: 3 shared papers
Lauren Griffith and Megan O'Connell: 3 shared papers
Parminder Raina and Megan O'Connell: 3 shared papers
Lauren Griffith and Changbao Wu: 2 shared papers
Parminder Raina and Changbao Wu: 2 shared papers
Christopher Patterson and Changbao Wu: 2 shared papers
Christina Wolfson and Changbao Wu: 2 shared papers
Teresa Liu-Ambrose and Changbao Wu: 2 shared papers
Teresa Liu-Ambrose and Debra Sheets: 2 shared papers
Susan Kirkland and Changbao Wu: 2 shared papers
Vanessa Taler and Changbao Wu: 2 shared papers
Mary Thompson and Changbao Wu: 2 shared papers
Aaron Jones and Changbao Wu: 1 shared paper
Andrew Costa and Changbao Wu: 1 shared paper
Harry Samuel Shannon and Brent Richards: 1 shared paper
Harry Samuel Shannon and Isabelle Dionne: 1 shared paper
Harry Samuel Shannon and Scott Hofer: 1 shared paper
Harry Samuel Shannon and Changbao Wu: 1 shared paper
Harry Samuel Shannon and Debra Sheets: 1 shared paper
Lauren Griffith and Brent Richards: 1 shared paper
Lauren Griffith and Isabelle Dionne: 1 shared paper
Lauren Griffith and Scott Hofer: 1 shared paper
Lauren Griffith and Debra Sheets: 1 shared paper
Parminder Raina and Brent Richards: 1 shared paper
Parminder Raina and Isabelle Dionne: 1 shared paper
Parminder Raina and Scott Hofer: 1 shared paper
Cynthia Balion and Changbao Wu: 1 shared paper
Jinhui Ma and Changbao Wu: 1 shared paper
Brent Richards and Changbao Wu: 1 shared paper
Holly Tuokko and Changbao Wu: 1 shared paper
Isabelle Dionne and Changbao Wu: 1 shared paper
Scott Hofer and Changbao Wu: 1 shared paper
Andrew Wister and Changbao Wu: 1 shared paper
Verena Menec and Changbao Wu: 1 shared paper
Megan O'Connell and Changbao Wu: 1 shared paper
Changbao Wu and Debra Sheets: 1 shared paper

Health Research Methods, Evidence, and Impact
Medicine
Psychology
Centre on Aging
Statistics and Actuarial Science
Community Health and Epidemiology
Physical Therapy
Other

1 shared papers, latest 2023

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Applying for

Paper to mentionMention their NSERC grant from 2020

Subject: Prospective PhD student: Big data Dear Professor Wu, 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 "Causal Inference With Survey Data: A Robust Framework for Propensity Score Weighting in Probability and Non-Probability Samples." (2026), 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 "Challenges and Emerging Issues in Official Statistics and Survey Methodology" (2020), 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]