Transporting: What Is It and How Do You Do It?

Abstract Purpose of Review Transportability, one of the twin faces of external validity (alongside generalizability), refers to the ability to use effect estimates in a study population to understand effects in a different population. In this review, we aimed to provide an overview of ongoing methodological developments in the field of transportability and provide a tutorial walking through key steps in the transportability process. Recent Findings We cover recent work done to distinguish the concept of transportability from generalizability (or external validity more broadly), define core conditions necessary for transporting treatment effects to a different target population, outline approaches to identify sufficient adjustment sets, and design estimators to estimate transported treatment effects. We then illustrate the application of these methods through a case study comparing the effects of two adjuvant chemotherapies for breast cancer in patients within the National Cancer Database, a large national cancer registry, using effect estimates transported from a randomized controlled trial. Summary While external validity, generalizability, and transportability have long been recognized as important elements of epidemiology, they have historically been treated interchangeably and discussed qualitatively in discussion sections of manuscripts. Over the past two decades, however, major strides have been made to formally define these concepts and introduce analytic methods for them that are valid under well-defined conditions.

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Publication Details

Journal
Current Epidemiology Reports
Published
2025-10-18
DOI
https://doi.org/10.1007/s40471-025-00374-6
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

Transporting: What Is It and How Do You Do It?

Alexander Breskin, Emilie D. Duchesneau, Michael Webster‐Clark, Kara E. Rudolph
Current Epidemiology Reports
Statistical Methods in Clinical Trials
article

Transporting: What Is It and How Do You Do It?

Alexander Breskin, Emilie D. Duchesneau, Michael Webster‐Clark, Kara E. Rudolph
article en

Abstract

Abstract Purpose of Review Transportability, one of the twin faces of external validity (alongside generalizability), refers to the ability to use effect estimates in a study population to understand effects in a different population. In this review, we aimed to provide an overview of ongoing methodological developments in the field of transportability and provide a tutorial walking through key steps in the transportability process. Recent Findings We cover recent work done to distinguish the concept of transportability from generalizability (or external validity more broadly), define core conditions necessary for transporting treatment effects to a different target population, outline approaches to identify sufficient adjustment sets, and design estimators to estimate transported treatment effects. We then illustrate the application of these methods through a case study comparing the effects of two adjuvant chemotherapies for breast cancer in patients within the National Cancer Database, a large national cancer registry, using effect estimates transported from a randomized controlled trial. Summary While external validity, generalizability, and transportability have long been recognized as important elements of epidemiology, they have historically been treated interchangeably and discussed qualitatively in discussion sections of manuscripts. Over the past two decades, however, major strides have been made to formally define these concepts and introduce analytic methods for them that are valid under well-defined conditions.

Current Epidemiology ReportsVol. 12(1)
University of North Carolina at Chapel Hill (US), Regeneron (United States) (US), Wake Forest University (US), McGill University (CA), Columbia University (US)
Openalex Percentile: Top 72%
Statistical Methods in Clinical Trials
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Transporting: What Is It and How Do You Do It? — Alexander Breskin, Emilie D. Duchesneau, et al. · Current Epidemiology Reports (2025) | TGRS Research Map | TGRS