Predicting secondary progression in relapsing-remitting multiple sclerosis: A Bayesian analysis

Journal of the Neurological Sciences

Volumn 189, Issue 1-2, 2001, Pages 13-21

  Bergamaschi, Roberto ^a   Berzuini, Carlo ^b   Romani, Alfredo ^a   Cosi, Vittorio ^a  

^a C MONDINO NATIONAL NEUROLOGICAL INSTITUTE   (Italy)

^b UNIVERSITY OF PAVIA   (Italy)

Author keywords

Bayesian analysis; Latent variables; Multiple sclerosis; Natural history; Prognostic factors; Surrogate response

Indexed keywords

ADULT; AGED; ARTICLE; BAYES THEOREM; DISABILITY; DISEASE COURSE; FEMALE; HISTORY; HUMAN; MAJOR CLINICAL STUDY; MALE; MULTIPLE SCLEROSIS; ONSET AGE; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; RECURRENT DISEASE; RELAPSE;

AGE OF ONSET; BAYES THEOREM; COHORT STUDIES; DISEASE PROGRESSION; FEMALE; HUMANS; ITALY; MALE; MARKOV CHAINS; MODELS, NEUROLOGICAL; MULTIPLE SCLEROSIS; OPTIC NEURITIS; PARALYSIS; PROGNOSIS; REMISSION, SPONTANEOUS; RISK FACTORS; TREATMENT FAILURE; URINARY INCONTINENCE;

EID: 0035882003     PISSN: 0022510X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0022-510X(01)00572-X     Document Type: Article

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