Lisa Lix, McGill University

Research

Administrative Data Analysis Antiresorptive Drug Therapy Bone Mineral Density Cohort Study Fractures Osteoporosis Safety Shared Decision Making

Latest papers

Systemic autoimmune rheumatic disease prevalence in Canada: updated analyses across 7 provinces.
The Journal of rheumatology · 2014
The validity of administrative data to identify hip fractures is high--a systematic review.
Journal of clinical epidemiology · 2013
Consensus statements for the use of administrative health data in rheumatic disease research and surveillance.
The Journal of rheumatology · 2013

All 3 publications

Latest funding

Common Data Models for Distributed Networks: Developing and Assessing Machine Learning Algorithms for Concept Mapping
CIHR · 2024 · Supervisor
$108,500
The association between denosumab and the risk of atypical femoral fractures in osteoporosis management
CIHR · 2023 · Co-investigator
$179,776
Effectiveness and Safety of Long-term Antiresorptive Treatment for Osteoporosis in Canada: Improving Shared Decision Making
CIHR · 2023 · Principal investigator
$715,275

All 6 grants and awards

3 publications.

01

Systemic autoimmune rheumatic disease prevalence in Canada: updated analyses across 7 provinces.

Broten L, Aviña-Zubieta JA, Lacaille D, Joseph L, Hanly JG, Lix L, O'Donnell S, Barnabe C, Fortin PR, Hudson M, Jean S, Peschken C, Edworthy SM, Svenson L, Pineau CA, Clarke AE, Smith M, Bélisle P, Badley EM, Bergeron L, Bernatsky S

The Journal of rheumatology2014

DOI: 10.3899/jrheum.130667 PMID: 24584928

02

The validity of administrative data to identify hip fractures is high--a systematic review.

Hudson M, Avina-Zubieta A, Lacaille D, Bernatsky S, Lix L, Jean S

Journal of clinical epidemiology2013

DOI: 10.1016/j.jclinepi.2012.10.004 PMID: 23347851

03

Consensus statements for the use of administrative health data in rheumatic disease research and surveillance.

Bernatsky S, Lix L, O'Donnell S, Lacaille D, CANRAD Network

The Journal of rheumatology2013

DOI: 10.3899/jrheum.120835 PMID: 23118109

Common Data Models for Distributed Networks: Developing and Assessing Machine Learning Algorithms for Concept Mapping

SupervisorCIHR2024Health System Impact Fellowships - PostDoc Western Canada 2-year

Principal investigators: Hamm, Naomi

Keywords: Administrative Health Data; Codes; Common Data Models; Distributed Data Networks; Machine Learning

$108,500

The association between denosumab and the risk of atypical femoral fractures in osteoporosis management

Co-investigatorCIHR2023Project Grant

Principal investigators: Yu, Oriana Hoi Yun

Keywords: Atypical Femoral Fractures; Denosumab; Osteoporosis; Population Cohort Study

$179,776

Effectiveness and Safety of Long-term Antiresorptive Treatment for Osteoporosis in Canada: Improving Shared Decision Making

Principal investigatorCIHR2023Project Grant

Principal investigators: Morin, Suzanne N; Leslie, William D; Lix, Lisa M

Keywords: Administrative Data Analysis; Antiresorptive Drug Therapy; Bone Mineral Density; Cohort Study; Fractures; Osteoporosis; Safety; Shared Decision Making

$715,275

Enhancing CAN-AIM capacity to respond to drug safety and effectiveness queries

Co-investigatorCIHR2019DSEN team grants: MAGIC and CAN-AIM

Principal investigators: Bernatsky, Sasha R; Abrahamowicz, Michal M; Afif, Waqqas; Awadalla, Philip; Bérard, Anick; Buckeridge, David L; Hazlewood, Glen S; Hohl, Corinne M; Kowalec, Kaarina A; Moride, Yola; Moura, Cristiano S; Pilote, Louise; Tremlett, Helen L

Keywords: Comparative Effectiveness And Safety; Confounding Bias; Exposure Measurement Errors; Pharmacoepidemiology; Prospective Studies; Statistical Modelling

$2,550,000

Canadian Network for Advanced Interdisciplinary Methods for Prospective Studies of Drug Safety and Effectiveness

Co-investigatorCIHR2014Team Grant: DSEN Coll Centre for Prospective Studies -Comparative Effectiveness

Principal investigators: Abrahamowicz, Michal M; Bérard, Anick; Bernatsky, Sasha R; Hohl, Corinne M; Lacaille, Diane V; Levesque, Linda E; Levy, Adrian R; Moride, Yola; Pilote, Louise

Keywords: Comparative Effectiveness And Safety; Confounding Bias; Exposure Measurement Errors; Pharmacoepidemiology; Prospective Studies; Statistical Modeling

$1,242,000

Developing Advanced Methods for Population-Based Comparative Effectiveness Studies

Co-investigatorCIHR2011Team Grant: DSEN Coll Centre for Prospective Studies -Comparative Effectiveness

Principal investigators: Abrahamowicz, Michal M; Bernatsky, Sasha R; Lacaille, Diane V; Levy, Adrian R; Moride, Yola; Pilote, Louise

Keywords: Cohort Studies; Comparative Effectiveness; Confounding Bias; Exposure Measurement Errors; Pharmacoepidemiology; Statistical Modeling

$950,000

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

Sasha Bernatsky and Sasha Bernatsky: 313 shared papers
Sasha Bernatsky and Marie Hudson: 40 shared papers
Marie Hudson and Sasha Bernatsky: 33 shared papers
Cheryl Barnabe and Diane Lacaille: 29 shared papers
Sasha Bernatsky and Christine Peschken: 19 shared papers
Sasha Bernatsky and Christine Peschken: 18 shared papers
Sasha Bernatsky and Lawrence Joseph: 16 shared papers
Sasha Bernatsky and Lawrence Joseph: 16 shared papers
Sasha Bernatsky and Sasha Bernatsky: 11 shared papers
Sasha Bernatsky and Sasha Bernatsky: 10 shared papers
Cheryl Barnabe and Diane Lacaille: 9 shared papers
Sasha Bernatsky and Cheryl Barnabe: 8 shared papers
Diane Lacaille and Diane Lacaille: 8 shared papers
Sasha Bernatsky and Diane Lacaille: 7 shared papers
Marie Hudson and Lawrence Joseph: 6 shared papers
Sasha Bernatsky and Sonia Jean: 5 shared papers
Sonia Jean and Sasha Bernatsky: 5 shared papers
Sasha Bernatsky and Diane Lacaille: 4 shared papers
Sasha Bernatsky and Sonia Jean: 4 shared papers
Sasha Bernatsky and Diane Lacaille: 4 shared papers
Sasha Bernatsky and Sonia Jean: 4 shared papers
Cheryl Barnabe and Cheryl Barnabe: 4 shared papers
Cheryl Barnabe and Sasha Bernatsky: 4 shared papers
Diane Lacaille and Diane Lacaille: 4 shared papers
Diane Lacaille and Christine Peschken: 4 shared papers
Sasha Bernatsky and Lisa Lix: 3 shared papers
Marie Hudson and Sonia Jean: 3 shared papers
Sonia Jean and Sonia Jean: 3 shared papers
Sasha Bernatsky and Lisa Lix: 3 shared papers
Cheryl Barnabe and Lisa Lix: 3 shared papers
Diane Lacaille and Diane Lacaille: 3 shared papers
Diane Lacaille and Lisa Lix: 3 shared papers
Diane Lacaille and Cheryl Barnabe: 3 shared papers
Sasha Bernatsky and Cheryl Barnabe: 2 shared papers
Marie Hudson and Lisa Lix: 2 shared papers
Marie Hudson and Marie Hudson: 2 shared papers
Lisa Lix and Lisa Lix: 2 shared papers
Sonia Jean and Lisa Lix: 2 shared papers
Sasha Bernatsky and Lisa Lix: 1 shared paper
Sasha Bernatsky and Mark Smith: 1 shared paper
Sasha Bernatsky and Lisa Lix: 1 shared paper
Sasha Bernatsky and Marie Hudson: 1 shared paper
Marie Hudson and Mark Smith: 1 shared paper
Marie Hudson and Lisa Lix: 1 shared paper
Sonia Jean and Mark Smith: 1 shared paper
Sonia Jean and Lisa Lix: 1 shared paper
Sonia Jean and Marie Hudson: 1 shared paper
Cheryl Barnabe and Lisa Lix: 1 shared paper
Lisa Lix and Lisa Lix: 1 shared paper
Lawrence Joseph and Lisa Lix: 1 shared paper
Mark Smith and Lisa Lix: 1 shared paper
Diane Lacaille and Lisa Lix: 1 shared paper
Diane Lacaille and Lisa Lix: 1 shared paper
Christine Peschken and Lisa Lix: 1 shared paper
Lisa Lix and Lisa Lix: 1 shared paper
Lisa Lix and Cheryl Barnabe: 1 shared paper
Lisa Lix and Sasha Bernatsky: 1 shared paper
Lisa Lix and Marie Hudson: 1 shared paper

Medicine
Internal Medicine
Community Health Sciences
Psychiatry
Dermatology and Skin Science
Médecine
Other

Applying for

Paper to mentionMention their CIHR grant from 2023

Subject: Prospective PhD student: Administrative Data Analysis Dear Professor Lix, 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 "Systemic autoimmune rheumatic disease prevalence in Canada: updated analyses across 7 provinces." (2014), 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 CIHR-funded project "Effectiveness and Safety of Long-term Antiresorptive Treatment for Osteoporosis in Canada: Improving Shared Decision Making" (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]