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Analyzing clinical trial data via the Bayesian multiple logistic random effects model

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish (US)
Title of host publicationMODSIM07 - Land, Water and Environmental Management
Subtitle of host publicationIntegrated Systems for Sustainability, Proceedings
Pages2861-2866
Number of pages6
StatePublished - 2007
Externally publishedYes
EventInternational Congress on Modelling and Simulation - Land, Water and Environmental Management: Integrated Systems for Sustainability, MODSIM07 - Christchurch, New Zealand
Duration: Dec 10 2007Dec 13 2007

Publication series

NameMODSIM07 - Land, Water and Environmental Management: Integrated Systems for Sustainability, Proceedings

Conference

ConferenceInternational Congress on Modelling and Simulation - Land, Water and Environmental Management: Integrated Systems for Sustainability, MODSIM07
Country/TerritoryNew Zealand
CityChristchurch
Period12/10/0712/13/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Bayesian
  • Covariates
  • Logistic
  • Melanoma
  • Predictive
  • Response

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Water Science and Technology
  • Modeling and Simulation

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