Literature DB >> 29522080

Competing Effects of Indirect Protection and Clustering on the Power of Cluster-Randomized Controlled Vaccine Trials.

Matt D T Hitchings1, Marc Lipsitch1,2, Rui Wang3,4, Steven E Bellan5,6.   

Abstract

Power considerations for trials evaluating vaccines against infectious diseases are complicated by indirect protective effects of vaccination. While cluster-randomized controlled trials (cRCTs) are less statistically efficient than individually randomized controlled trials (iRCTs), a cRCT's ability to measure direct and indirect vaccine effects may mitigate the loss of efficiency due to clustering. Within cRCTs, the number and size of clusters affects 3 determinants of power: the effect size being measured, disease incidence, and intracluster correlation. We simulated trials conducted in a collection of small communities to assess how indirect protection and clustering affected the power of cRCTs and iRCTs during an emerging epidemic. Across diverse parameters, we found that within the same trial population, cRCTs were never more powerful than iRCTs, although the difference can be small. We also identified 2 effects that attenuated the loss of cRCT power traditionally associated with increased cluster size. First, if enrollment of fewer, larger clusters was performed to achieve higher vaccine coverage within vaccinated communities, this increased the effect to be measured and, consequently, power. Second, the greater rate of imported transmission in larger communities may increase the attack rate and similarly mitigate loss of power relative to a trial in many, smaller communities.

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Year:  2018        PMID: 29522080      PMCID: PMC6070038          DOI: 10.1093/aje/kwy047

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  17 in total

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2.  Design of a group-randomized Streptococcus pneumoniae vaccine trial.

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3.  Community interventions and the epidemic prevention potential.

Authors:  M Elizabeth Halloran; Ira M Longini; David M Cowart; Azhar Nizam
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4.  Developments in cluster randomized trials and Statistics in Medicine.

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5.  Covariate-adjusted confidence interval for the intraclass correlation coefficient.

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7.  Simulations for designing and interpreting intervention trials in infectious diseases.

Authors:  M Elizabeth Halloran; Kari Auranen; Sarah Baird; Nicole E Basta; Steven E Bellan; Ron Brookmeyer; Ben S Cooper; Victor DeGruttola; James P Hughes; Justin Lessler; Eric T Lofgren; Ira M Longini; Jukka-Pekka Onnela; Berk Özler; George R Seage; Thomas A Smith; Alessandro Vespignani; Emilia Vynnycky; Marc Lipsitch
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Authors:  Bruce Aylward; Philippe Barboza; Luke Bawo; Eric Bertherat; Pepe Bilivogui; Isobel Blake; Rick Brennan; Sylvie Briand; Jethro Magwati Chakauya; Kennedy Chitala; Roland M Conteh; Anne Cori; Alice Croisier; Jean-Marie Dangou; Boubacar Diallo; Christl A Donnelly; Christopher Dye; Tim Eckmanns; Neil M Ferguson; Pierre Formenty; Caroline Fuhrer; Keiji Fukuda; Tini Garske; Alex Gasasira; Stephen Gbanyan; Peter Graaff; Emmanuel Heleze; Amara Jambai; Thibaut Jombart; Francis Kasolo; Albert Mbule Kadiobo; Sakoba Keita; Daniel Kertesz; Moussa Koné; Chris Lane; Jered Markoff; Moses Massaquoi; Harriet Mills; John Mike Mulba; Emmanuel Musa; Joel Myhre; Abdusalam Nasidi; Eric Nilles; Pierre Nouvellet; Deo Nshimirimana; Isabelle Nuttall; Tolbert Nyenswah; Olushayo Olu; Scott Pendergast; William Perea; Jonathan Polonsky; Steven Riley; Olivier Ronveaux; Keita Sakoba; Ravi Santhana Gopala Krishnan; Mikiko Senga; Faisal Shuaib; Maria D Van Kerkhove; Rui Vaz; Niluka Wijekoon Kannangarage; Zabulon Yoti
Journal:  N Engl J Med       Date:  2014-09-22       Impact factor: 91.245

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  9 in total

1.  Novel methods for the analysis of stepped wedge cluster randomized trials.

Authors:  Lee Kennedy-Shaffer; Victor de Gruttola; Marc Lipsitch
Journal:  Stat Med       Date:  2019-12-26       Impact factor: 2.373

2.  Statistical Properties of Stepped Wedge Cluster-Randomized Trials in Infectious Disease Outbreaks.

Authors:  Lee Kennedy-Shaffer; Marc Lipsitch
Journal:  Am J Epidemiol       Date:  2020-11-02       Impact factor: 4.897

3.  Quantifying Efficiency Gains of Innovative Designs of Two-Arm Vaccine Trials for COVID-19 Using an Epidemic Simulation Model.

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Journal:  Stat Biopharm Res       Date:  2021-07-30       Impact factor: 1.452

Review 4.  Looking beyond COVID-19 vaccine phase 3 trials.

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Journal:  Nat Med       Date:  2021-01-19       Impact factor: 53.440

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Authors:  Natalie E Dean; Ira M Longini
Journal:  Clin Trials       Date:  2022-01-21       Impact factor: 2.599

6.  The required size of cluster randomized trials of nonpharmaceutical interventions in epidemic settings.

Authors:  Justin K Sheen; Johannes Haushofer; C Jessica E Metcalf; Lee Kennedy-Shaffer
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7.  Choices in vaccine trial design in epidemics of emerging infections.

Authors:  Rebecca Kahn; Annette Rid; Peter G Smith; Nir Eyal; Marc Lipsitch
Journal:  PLoS Med       Date:  2018-08-07       Impact factor: 11.069

8.  Potential biases arising from epidemic dynamics in observational seroprotection studies.

Authors:  Rebecca Kahn; Lee Kennedy-Shaffer; Yonatan H Grad; James M Robins; Marc Lipsitch
Journal:  medRxiv       Date:  2020-05-06

9.  Potential Biases Arising From Epidemic Dynamics in Observational Seroprotection Studies.

Authors:  Rebecca Kahn; Lee Kennedy-Shaffer; Yonatan H Grad; James M Robins; Marc Lipsitch
Journal:  Am J Epidemiol       Date:  2021-02-01       Impact factor: 4.897

  9 in total

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