The semi-proportional hazards model revisited: practical reparametrizations.
Reformulations of the semi-proportional hazards model are outlined making estimation and testing of stratum-covariate interaction effects easily accessible within the framework of the stratified Cox proportional hazards model. The method is illustrated by a practical analysis of variables influencing bronchial responsiveness with data from the Hordaland study of obstructive lung disease.
Eide
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GE
Institute of Mathematics and Statistics, Norwegian School of Economics and Business Administration, Bergen-Sandviken, Norway.
Omenaas
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Gulsvik
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D000328:Adult; D000368:Aged; D001980:Bronchi / Q000187:drug effects; D016085:Bronchoconstrictor Agents / Q000494:pharmacology / Q000627:therapeutic use; D003627:Data Interpretation, Statistical; D015987:Effect Modifier, Epidemiologic; D005260:Female; D006801:Humans; D008173:Lung Diseases, Obstructive / Q000188:drug therapy; D008297:Male; D016210:Methacholine Chloride / Q000494:pharmacology / Q000627:therapeutic use; D008875:Middle Aged; D016016:Proportional Hazards Models; D015656:Respiratory Mechanics / Q000187:drug effects; D012907:Smoking / Q000009:adverse effects
D016085:Bronchoconstrictor Agents; D016210:Methacholine Chloride