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Randomising towns to fight HIV
Author(s) -
Hayes Richard
Publication year - 2018
Publication title -
significance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 21
eISSN - 1740-9713
pISSN - 1740-9705
DOI - 10.1111/j.1740-9713.2018.01128.x
Subject(s) - human immunodeficiency virus (hiv) , key (lock) , operations research , cluster (spacecraft) , computer science , management science , risk analysis (engineering) , data science , medicine , engineering , computer security , family medicine , programming language
Experimental design is an often under‐appreciated area of statistics, even though leading statisticians have always emphasised its importance. In this case study, Richard Hayes describes features in the design and analysis of a key HIV prevention trial in Africa that uses cluster randomisation