Multilevel modelling and malaria: a new method for an old disease
Author(s) -
Frédéric Mauny
Publication year - 2004
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/dyh274
Subject(s) - multilevel model , malaria , public health , random effects model , hierarchical database model , set (abstract data type) , process (computing) , environmental health , multilevel modelling , econometrics , computer science , geography , ecology , statistics , medicine , data mining , mathematics , biology , meta analysis , nursing , immunology , programming language , operating system
Malaria is influenced by a web of individual and ecological factors, i.e. factors relating to people and relating to environment. For a long time analysing these factors concurrently has raised statistical problems. Multilevel modelling provides a new attractive solution, which is still uncommon in tropical medicine.
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