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Master statistical analysis plan: attractive targeted sugar bait phase III trials in Kenya, Mali, and Zambia: attractive targeted sugar bait phase III trials in Kenya, Mali, and Zambia

  • Joshua Yukich
  • , Thomas P. Eisele
  • , Feiko terKuile
  • , Ruth Ashton
  • , Sarah Staedke
  • , Angela F. Harris
  • , Paul C.D. Johnson
  • , Sophie Sarrassat
  • , Maia Lesosky
  • , John Bradley
  • , Immo Kleinschmidt
  • , Megan Littrell
  • Tulane University

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

This manuscript is a master statistical analysis plan for each of three-cluster randomized controlled trials to evaluate the efficacy of attractive targeted sugar baits (ATSB) described in an already published protocol. The master SAP contains an overarching plan for all three trials, which can be adapted to trial-specific circumstances. The primary objective of the trials is to evaluate the efficacy of ATSB in the presence of universal vector control coverage with insecticide-treated nets (ITN) or indoor residual spraying (IRS) after two transmission seasons on clinical malaria incidence as compared with universal vector control coverage with ITN or IRS alone. The primary outcome measure is the incidence rate of clinical malaria, assessed in cohorts aged 12 months to less than 15 years (≥ 5 years to 15 years in Mali) during monthly follow-up visits. The primary unadjusted analysis will be conducted on the intention-to-treat analysis population without adjustment for any anticipated confounding variables. The primary outcome will be analyzed using a multi-level model constructed on a generalized linear model framework with a Poisson likelihood and a log link function. Random intercepts will be included for each study cluster and a fixed effect for study-arm. The analyst will be blinded to study arm assignment. Several secondary outcomes will be analyzed, as well as a pooled analysis (individual patient data meta-analysis) across the three trial sites. Additionally, a standard meta-analysis is expected to be conducted using combined data from all sites.
Original languageEnglish
Article number771
JournalTrials
Volume24
Issue number1
DOIs
Publication statusPublished - 1 Dec 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cluster randomized control trial
  • Malaria
  • Statistical analysis plan
  • Vector control

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