Ultraviolet light inactivation of protozoa in drinking water: A Bayesian meta-analysis

Water Research

Volumn 38, Issue 2, 2004, Pages 317-326

  Qian, Song S ^a   Donnelly, Maureen ^a   Schmelling, Daniel C ^b   Messner, Michael ^b   Linden, Karl G ^c   Cotton, Christine ^d  

^a Cadmus Group Inc   (United States)

^b U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^c Duke University   (United States)

^d MALCOLM PIRNIE INC   (United States)

Author keywords

Bayes factor; Bayesian statistics; BIC; Censored data; Hierarchical models

Indexed keywords

HIERARCHICAL SYSTEMS; PROTOZOA; STATISTICAL METHODS; ULTRAVIOLET RADIATION;

BAYESIAN META-ANALYSIS; INACTIVATION;

POTABLE WATER;

DRINKING WATER;

BACTERIUM; DEGRADATION; DRINKING WATER; ULTRAVIOLET RADIATION; WATER TREATMENT;

ANALYTIC METHOD; ARTICLE; BAYES THEOREM; CRYPTOSPORIDIUM; DATA ANALYSIS; GIARDIA; NONHUMAN; OOCYST; PRIORITY JOURNAL; PROTOZOON; STATISTICAL MODEL; ULTRAVIOLET RADIATION; WATER CONTAMINATION; ANIMAL; CLINICAL TRIAL; GOVERNMENT; META ANALYSIS; METHODOLOGY; PATHOGENICITY; PRACTICE GUIDELINE; RISK ASSESSMENT; UNITED STATES; WATER MANAGEMENT;

CRYPTOSPORIDIUM; GIARDIA; PROTOZOA;

ANIMALS; BAYES THEOREM; CRYPTOSPORIDIUM; GIARDIA; GUIDELINES; RISK ASSESSMENT; ULTRAVIOLET RAYS; UNITED STATES; UNITED STATES ENVIRONMENTAL PROTECTION AGENCY; WATER PURIFICATION;

EID: 1542752452     PISSN: 00431354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.watres.2003.10.007     Document Type: Article

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