Poisson regression models outperform the geometrical model in estimating the peak-to-trough ratio of seasonal variation: A simulation study

Computer Methods and Programs in Biomedicine

Volumn 104, Issue 3, 2011, Pages 333-340

  Christensen, A L ^a   Lundbye Christensen, S ^a   Dethlefsen, C ^a  

^a AALBORG UNIVERSITY HOSPITAL   (Denmark)

Author keywords

Geometrical model; Peak to trough ratio; Poisson regression; Seasonal variation

Indexed keywords

COVARIATES; GEOMETRICAL MODELS; MEAN SQUARED ERROR; MODEL ASSUMPTIONS; MOMENT-BASED ESTIMATORS; MONTE CARLO SIMULATION; PEAK-TO-TROUGH RATIO; POISSON REGRESSION; POISSON REGRESSION MODELS; SEASONAL VARIATION; SECOND ORDERS; SECULAR TREND; SIMULATION STUDIES; STANDARD DEVIATION;

ESTIMATION; GEOMETRY; MONTE CARLO METHODS; POISSON DISTRIBUTION; POISSON RATIO; REGRESSION ANALYSIS;

COMPUTER SIMULATION;

ARTICLE; GEOMETRY; POISSON DISTRIBUTION; SEASONAL VARIATION; SIMULATION; STANDARD DEVIATION; STATISTICAL ANALYSIS;

MODELS, THEORETICAL; MONTE CARLO METHOD; POISSON DISTRIBUTION; REGRESSION ANALYSIS; SEASONS;

EID: 80655146963     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2011.07.016     Document Type: Article

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