A flexible Bayesian approach for modeling monotonic dose-response relationships in drug development trials.

Ohlssen, David; Racine, Amy

Ohlssen, David; Racine, Amy.

Affiliation

Ohlssen D; a Novartis Pharmaceuticals , East Hanover , New Jersey , USA.

J Biopharm Stat ; 25(1): 137-56, 2015.

Article in En | MEDLINE | ID: mdl-24836192

Subject(s)

Clinical Trials as Topic/statistics & numerical data; Drug Discovery/statistics & numerical data; Models, Statistical; Analysis of Variance; Anti-Inflammatory Agents/therapeutic use; Anticonvulsants/therapeutic use; Arthritis, Psoriatic/drug therapy; Bayes Theorem; Computer Simulation; Dose-Response Relationship, Drug; Epilepsy/drug therapy; Humans; Logistic Models; Treatment Outcome

Key words

Bayesian model averaging; Doseresponse modeling; Evidence synthesis; MCPMOD; Proof of concept studies

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Clinical Trials as Topic / Models, Statistical / Drug Discovery Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Biopharm Stat Journal subject: FARMACOLOGIA Year: 2015 Type: Article Affiliation country: United States

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