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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Czado, C., Heyn, A., Müller, G. 
Titel:
Modeling individual migraine severity with autoregressive ordered probit models. 
Abstract:
This paper considers the problem of modeling migraine severity assessments and their dependence on weather and time characteristics. We take on the viewpoint of a patient who is interested in an individual migraine management strategy. Since factors influencing migraine can differ between patients in number and magnitude, we show how a patient’s headache calendar reporting the severity measurements on an ordinal scale can be used to determine the dominating factors for this special pat...    »
 
Stichworte:
Bayes factor; Deviance; Ordinal valued time series; Markov ChainMonte Carlo (MCMC); Proportional odds; Regression 
Zeitschriftentitel:
Statistical Methods and Applications 
Jahr:
2011 
Band / Volume:
20 
Heft / Issue:
Seitenangaben Beitrag:
101-121 
Reviewed:
ja 
Sprache:
en 
Status:
Erstveröffentlichung 
Semester:
SS 11 
Format:
Text