Literature DB >> 30034203

Generalizability of randomized trial results to target populations: Design and analysis possibilities.

Elizabeth A Stuart1, Benjamin Ackerman1, Daniel Westreich2.   

Abstract

Randomized trials play an important role in estimating the effect of a policy or social work program in a given population. While most trial designs benefit from strong internal validity, they often lack external validity, or generalizability, to the target population of interest. In other words, one can obtain an unbiased estimate of the study sample average treatment effect (SATE) from a randomized trial; however, this estimate may not equal the target population average treatment effect (TATE) if the study sample is not fully representative of the target population. This paper provides an overview of existing strategies to assess and improve upon the generalizability of randomized trials, both through statistical methods and study design, as well as recommendations on how to implement these ideas in social work research.

Entities:  

Keywords:  Evidence-based Practice; Literature Review

Year:  2017        PMID: 30034203      PMCID: PMC6049838          DOI: 10.1177/1049731517720730

Source DB:  PubMed          Journal:  Res Soc Work Pract        ISSN: 1049-7315


  18 in total

1.  Hierarchical models in generalized synthesis of evidence: an example based on studies of breast cancer screening.

Authors:  T C Prevost; K R Abrams; D R Jones
Journal:  Stat Med       Date:  2000-12-30       Impact factor: 2.373

2.  External validity of randomised controlled trials: "to whom do the results of this trial apply?".

Authors:  Peter M Rothwell
Journal:  Lancet       Date:  2005 Jan 1-7       Impact factor: 79.321

3.  Impact of a Social Work Care Coordination Intervention on Hospital Readmission: A Randomized Controlled Trial.

Authors:  Laura R Bronstein; Paul Gould; Shawn A Berkowitz; Gary D James; Kris Marks
Journal:  Soc Work       Date:  2015-07

4.  Dosage effects on school readiness: evidence from a randomized classroom-based intervention.

Authors:  Fuhua Zhai; C Cybele Raver; Stephanie M Jones; Christine P Li-Grining; Emily Pressler; Qin Gao
Journal:  Soc Serv Rev       Date:  2010

5.  Characteristics of School Districts That Participate in Rigorous National Educational Evaluations.

Authors:  Elizabeth A Stuart; Stephen H Bell; Cyrus Ebnesajjad; Robert B Olsen; Larry L Orr
Journal:  J Res Educ Eff       Date:  2016-10-03

6.  Generalizing Treatment Effect Estimates From Sample to Population: A Case Study in the Difficulties of Finding Sufficient Data.

Authors:  Elizabeth A Stuart; Anna Rhodes
Journal:  Eval Rev       Date:  2016-08-04

Review 7.  Generalizability of studies on mental health treatment and outcomes, 1981 to 1996.

Authors:  Joel T Braslow; Naihua Duan; Sarah L Starks; Antonio Polo; Elizabeth Bromley; Kenneth B Wells
Journal:  Psychiatr Serv       Date:  2005-10       Impact factor: 3.084

8.  The use of propensity scores and observational data to estimate randomized controlled trial generalizability bias.

Authors:  Taylor R Pressler; Eloise E Kaizar
Journal:  Stat Med       Date:  2013-04-01       Impact factor: 2.373

9.  Can phase III trial results of antidepressant medications be generalized to clinical practice? A STAR*D report.

Authors:  Stephen R Wisniewski; A John Rush; Andrew A Nierenberg; Bradley N Gaynes; Diane Warden; James F Luther; Patrick J McGrath; Philip W Lavori; Michael E Thase; Maurizio Fava; Madhukar H Trivedi
Journal:  Am J Psychiatry       Date:  2009-04-01       Impact factor: 18.112

10.  Bias modelling in evidence synthesis.

Authors:  Rebecca M Turner; David J Spiegelhalter; Gordon C S Smith; Simon G Thompson
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2009-01       Impact factor: 2.483

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  13 in total

1.  The Epidemiologic Toolbox: Identifying, Honing, and Using the Right Tools for the Job.

Authors:  Catherine R Lesko; Alexander P Keil; Jessie K Edwards
Journal:  Am J Epidemiol       Date:  2020-06-01       Impact factor: 4.897

2.  Maternal prepregnancy BMI and size at birth: race/ethnicity-stratified, within-family associations in over 500,000 siblings.

Authors:  Janne Boone-Heinonen; Frances M Biel; Nicole E Marshall; Jonathan M Snowden
Journal:  Ann Epidemiol       Date:  2020-05-07       Impact factor: 3.797

3.  Implementing statistical methods for generalizing randomized trial findings to a target population.

Authors:  Benjamin Ackerman; Ian Schmid; Kara E Rudolph; Marissa J Seamans; Ryoko Susukida; Ramin Mojtabai; Elizabeth A Stuart
Journal:  Addict Behav       Date:  2018-10-25       Impact factor: 3.913

4.  Quantifying the bias due to observed individual confounders in causal treatment effect estimates.

Authors:  Layla Parast; Beth Ann Griffin
Journal:  Stat Med       Date:  2020-05-10       Impact factor: 2.373

5.  An outcome model approach to transporting a randomized controlled trial results to a target population.

Authors:  Benjamin A Goldstein; Matthew Phelan; Neha J Pagidipati; Rury R Holman; Michael J Pencina; Elizabeth A Stuart
Journal:  J Am Med Inform Assoc       Date:  2019-05-01       Impact factor: 4.497

6.  Sampling and Sampling Frames in Big Data Epidemiology.

Authors:  Stephen J Mooney; Michael D Garber
Journal:  Curr Epidemiol Rep       Date:  2019-02-02

7.  Target validity: Bringing treatment of external validity in line with internal validity.

Authors:  Catherine R Lesko; Benjamin Ackerman; Michael Webster-Clark; Jessie K Edwards
Journal:  Curr Epidemiol Rep       Date:  2020-06-30

8.  Study Designs for Extending Causal Inferences From a Randomized Trial to a Target Population.

Authors:  Issa J Dahabreh; Sebastien J-P A Haneuse; James M Robins; Sarah E Robertson; Ashley L Buchanan; Elizabeth A Stuart; Miguel A Hernán
Journal:  Am J Epidemiol       Date:  2021-08-01       Impact factor: 4.897

9.  Generalizability of findings from a clinical sample to a community-based sample: A comparison of ADNI and ARIC.

Authors:  Kan Z Gianattasio; Erin E Bennett; Jingkai Wei; Megha L Mehrotra; Thomas Mosley; Rebecca F Gottesman; Dean F Wong; Elizabeth A Stuart; Michael E Griswold; David Couper; M Maria Glymour; Melinda C Power
Journal:  Alzheimers Dement       Date:  2021-02-01       Impact factor: 16.655

10.  Using Real-World Data to Predict Clinical and Economic Benefits of a Future Drug Based on its Target Product Profile.

Authors:  Christoph Gerlinger; Thomas Evers; Jeremy Rassen; Richard Wyss
Journal:  Drugs Real World Outcomes       Date:  2020-09
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