Power analysis to detect time trends on population-based cancer registries data: When size really matters

European Journal of Cancer

Volumn 51, Issue 9, 2015, Pages 1082-1090

  Zanetti, Roberto ^a   Sera, Francesco ^b   Sacchetto, Lidia ^a   Coebergh, Jan Willem ^c   Rosso, Stefano ^a  

^a Piedmont Cancer Registry   (Italy)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c The Netherlands   (Netherlands)

Author keywords

Cancer registry; Joinpoint regression analysis; Population coverage; Population based; Sample sizes; Statistical power; Time trend

Indexed keywords

ARTICLE; CANCER INCIDENCE; CANCER REGISTRY; DENMARK; EUROPE; FINLAND; HUMAN; ICELAND; NORTH AMERICAN; POPULATION RESEARCH; POPULATION SIZE; POWER ANALYSIS; PRIORITY JOURNAL; SAMPLE SIZE; SIMULATION; STATISTICAL SIGNIFICANCE; TIME SERIES ANALYSIS; TREND STUDY; UNITED KINGDOM; COHORT ANALYSIS; COMPUTER SIMULATION; EUROPEAN UNION; NEOPLASMS; POPULATION; REGISTER; STANDARDS; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

COHORT STUDIES; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EUROPE; EUROPEAN UNION; HUMANS; LINEAR MODELS; NEOPLASMS; POPULATION; REGISTRIES; SAMPLE SIZE; SEER PROGRAM;

EID: 84930178768     PISSN: 09598049     EISSN: 18790852     Source Type: Journal    
DOI: 10.1016/j.ejca.2013.10.008     Document Type: Article

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