Using hierarchical cluster models to systematically identify groups of jobs with similar occupational questionnaire response patterns to assist rule-based expert exposure assessment in population-based studies

Annals of Occupational Hygiene

Volumn 59, Issue 4, 2015, Pages 455-466

  Friesen, Melissa C ^a   Shortreed, Susan M ^b   Wheeler, David C ^a,c   Burstyn, Igor ^d   Vermeulen, Roel ^e   Pronk, Anjoeka ^f   Colt, Joanne S ^a   Baris, Dalsu ^a   Karagas, Margaret R ^g   Schwenn, Molly ^h   Johnson, Alison ⁱ   Armenti, Karla R ^j   Silverman, Debra T ^a   Yu, Kai ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

^b GROUP HEALTH RESEARCH INSTITUTE   (United States)

^c VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

^d DREXEL UNIVERSITY   (United States)

^e UTRECHT UNIVERSITY   (Netherlands)

^f TNO   (Netherlands)

^g DARTMOUTH MEDICAL SCHOOL   (United States)

^h Maine Cancer Registry   (United States)

ⁱ Vermont Cancer Registry   (United States)

^j NEW HAMPSHIRE DEPARTMENT OF HEALTH AND HUMAN SERVICES   (United States)

more..

Author keywords

case control studies; diesel exhaust; hierarchical clusters; occupational exposures

Indexed keywords

CLUSTER ANALYSIS; DATA REDUCTION; HIERARCHICAL SYSTEMS; INFORMATION DISSEMINATION; PROBABILITY; SURVEYS;

CASE-CONTROL STUDY; DIESEL EXHAUSTS; EXPOSURE ASSESSMENT; HIERARCHICAL CLUSTERING METHODS; HIERARCHICAL CLUSTERS; INTRACLASS CORRELATION COEFFICIENTS; OCCUPATIONAL EXPOSURE; PROBABILITY ESTIMATE;

REDUCTION;

AIR POLLUTANT; EXHAUST GAS; PARTICULATE MATTER;

AIR POLLUTANT; ANALYSIS; CASE CONTROL STUDY; ENVIRONMENTAL MONITORING; EXHAUST GAS; HEALTH SURVEY; HUMAN; METHODOLOGY; OCCUPATION; OCCUPATIONAL EXPOSURE; PARTICULATE MATTER; PROCEDURES; QUESTIONNAIRE; THEORETICAL MODEL; TIME FACTOR;

AIR POLLUTANTS, OCCUPATIONAL; CASE-CONTROL STUDIES; ENVIRONMENTAL MONITORING; HUMANS; MODELS, THEORETICAL; OCCUPATIONAL EXPOSURE; OCCUPATIONS; PARTICULATE MATTER; POPULATION SURVEILLANCE; RESEARCH DESIGN; SURVEYS AND QUESTIONNAIRES; TIME FACTORS; VEHICLE EMISSIONS;

EID: 84929463805     PISSN: 00034878     EISSN: 14753162     Source Type: Journal    
DOI: 10.1093/annhyg/meu101     Document Type: Article

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