Ian Shrier

Ian Shrier

McGill University

H-index: 72

North America-Canada

About Ian Shrier

Ian Shrier, With an exceptional h-index of 72 and a recent h-index of 47 (since 2020), a distinguished researcher at McGill University, specializes in the field of epidemiology, sport medicine, injury, evidence synthesis, causal inference.

His recent articles reflect a diverse array of research interests and contributions to the field:

Recanting witness and natural direct effects: Violations of assumptions or definitions?

Simulation Experiments as a Causal Problem

Prevention versus risk reduction or mitigation: Why create unnecessary battles?

Investigating the effect of return-to-play timing after injury on performance: does the analysis answer the research objective?

Ratio data: Understanding pitfalls and knowing when to standardise

Identifiability of causal effects in test-negative design studies

Understanding training load as exposure and dose

Causal effects, workload and injury risk: The importance of specifying the research question

Ian Shrier Information

University

Position

___

Citations(all)

47408

Citations(since 2020)

31528

Cited By

21907

hIndex(all)

72

hIndex(since 2020)

47

i10Index(all)

188

i10Index(since 2020)

134

Email

University Profile Page

McGill University

Google Scholar

View Google Scholar Profile

Ian Shrier Skills & Research Interests

epidemiology

sport medicine

injury

evidence synthesis

causal inference

Top articles of Ian Shrier

Title

Journal

Author(s)

Publication Date

Recanting witness and natural direct effects: Violations of assumptions or definitions?

arXiv preprint arXiv:2402.19346

Ian Shrier

2024/2/29

Simulation Experiments as a Causal Problem

arXiv preprint arXiv:2308.10823

Tyrel Stokes

Ian Shrier

Russell Steele

2023/8/21

Prevention versus risk reduction or mitigation: Why create unnecessary battles?

Ian Shrier

Franco M Impellizzeri

Steven D Stovitz

2023/7/1

Investigating the effect of return-to-play timing after injury on performance: does the analysis answer the research objective?

Sports medicine

Ian Shrier

Tyrel Stokes

Chinchin Wang

Jorge Trejovargas

Franco M Impellizzeri

...

2023/5

Ratio data: Understanding pitfalls and knowing when to standardise

Chris Bishop

Ian Shrier

Matthew Jordan

2023/1/22

Identifiability of causal effects in test-negative design studies

International Journal of Epidemiology

Ian Shrier

Steven D Stovitz

Johannes Textor

2023/12/1

Understanding training load as exposure and dose

Sports Medicine

Franco M Impellizzeri

Ian Shrier

Shaun J McLaren

Aaron J Coutts

Alan McCall

...

2023/9

Causal effects, workload and injury risk: The importance of specifying the research question

Ian Shrier

Chinchin Wang

Tyrel Stokes

Jorge Trejovargas

Steven D Stovitz

...

2022/7/1

No associations between C-reactive protein and spinal pain trajectories in children and adolescents (CHAMPS study-DK)

Scientific reports

Amber M Beynon

Niels Wedderkopp

Bruce F Walker

Charlotte Leboeuf-Yde

Jan Hartvigsen

...

2022/11/21

The quintessence of causal DAGs for immortal time bias: time-dependent models

International journal of epidemiology

Ian Shrier

Samy Suissa

2022/6/1

Observed injury rates did not follow theoretically predicted injury risk patterns in professional human circus artists

Clinical journal of sport medicine

Ian Shrier

Rita Mattiello

Melissa Caron

Evert Verhagen

Russell J Steele

2022/11/1

Spinal pain in childhood: prevalence, trajectories, and diagnoses in children 6 to 17 years of age

European journal of pediatrics

Jeffrey J Hébert

Amber M Beynon

Bobby L Jones

Chinchin Wang

Ian Shrier

...

2022/4/1

Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis

Psychological Medicine

Felix Fischer

Brooke Levis

Carl Falk

Ying Sun

John PA Ioannidis

...

2021/2/22

Beware of collider stratification bias when analyzing recurrent injuries.

Scandinavian Journal of Medicine & Science in Sports

Ian Shrier

Steven D Stovitz

Chinchin Wang

Russell J Steele

2022/2/1

The primary importance of the research question: implications for understanding natural versus controlled direct effects

Ian Shrier

Etsuji Suzuki

2022/8/1

Causal simulation experiments: Lessons from bias amplification

Statistical Methods in Medical Research

Tyrel Stokes

Russell Steele

Ian Shrier

2022/1

Barriers and facilitators to physical activity for people with scleroderma: A scleroderma patient‐Centered Intervention Network Cohort Study

Arthritis Care & Research

Sami Harb

Sandra Peláez

Marie‐Eve Carrier

Linda Kwakkenbos

Susan J Bartlett

...

2022/8

Implementing multiple imputation for missing data in longitudinal studies when models are not feasible: An example using the random hot deck approach

Clinical Epidemiology

Chinchin Wang

Tyrel Stokes

Russell J Steele

Niels Wedderkopp

Ian Shrier

2022/12/31

Injury risk increases minimally over a large range of the acute-chronic workload ratio in children

American journal of epidemiology

Chinchin Wang

Tyrel Stokes

Jorge Trejo Vargas

Russell Steele

Niels Wedderkopp

...

2021/11/25

Methods Matter: Some important challenges with instrumental variable methods

Ian Shrier

Tyrel Stokes

Russell J Steele

MD Ian Shrier

2021

See List of Professors in Ian Shrier University(McGill University)