Power calculation

BG Becky L. Genberg
JW Juddy Wachira
JS Jon A Steingrimsson
SP Sonak Pastakia
DT Dan N Tina Tran
JS Jamil AbdulKadir Said
PB Paula Braitstein
JH Joseph W. Hogan
RV Rajesh Vedanthan
SG Suzanne Goodrich
CK Catherine Kafu
MW Marta Wilson-Barthes
OG Omar Galárraga
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Forty existing MF group clusters with 900 PLHIV will be randomised in a 1:1 ratio to either MF +ICB or MF +SOC. For the power calculations, the SD of the group size was set to 5, type-1 error rate to 0.05, and the intraclass correlation coefficient to 0.05. Based on studies of the effect of financial interventions we expect at least 15% increase in VS between MF+ICB and MF+SOC, MF+SOC and SOC only, and MF+ICB and SOC only groups.18 71 The power calculations used VS in MF+SOC ranging from 20% to 50% and accounted for 15% drop-out.28 For all the different scenarios considered, the power to detect a 15% increase in VS was greater than 80% for testing all three hypotheses.

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