Your browser doesn't support javascript.
loading
Interoperability of statistical models in pandemic preparedness: principles and reality.
Nicholson, George; Blangiardo, Marta; Briers, Mark; Diggle, Peter J; Fjelde, Tor Erlend; Ge, Hong; Goudie, Robert J B; Jersakova, Radka; King, Ruairidh E; Lehmann, Brieuc C L; Mallon, Ann-Marie; Padellini, Tullia; Teh, Yee Whye; Holmes, Chris; Richardson, Sylvia.
Affiliation
  • Nicholson G; University of Oxford, UK.
  • Blangiardo M; MRC Centre for Environment and Health, Dept of Epidemiology and Biostatistics, Imperial College London.
  • Briers M; University of Oxford, UK.
  • Diggle PJ; MRC Centre for Environment and Health, Dept of Epidemiology and Biostatistics, Imperial College London.
  • Fjelde TE; Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, UK.
  • Ge H; The National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, University of Oxford, Oxford, UK.
  • Goudie RJB; The Alan Turing Institute, London, UK.
  • Jersakova R; MRC Harwell Institute, Harwell, UK.
  • King RE; CHICAS, Lancaster Medical School, Lancaster University, UK.
  • Lehmann BCL; MRC Biostatistics Unit, University of Cambridge, UK.
  • Mallon AM; Department of Engineering, University of Cambridge, UK.
  • Padellini T; CHICAS, Lancaster Medical School, Lancaster University, UK.
  • Teh YW; Department of Engineering, University of Cambridge, UK.
  • Holmes C; Department of Engineering, University of Cambridge, UK.
  • Richardson S; MRC Biostatistics Unit, University of Cambridge, UK.
Stat Sci ; 37(2): 183-206, 2022 May.
Article in En | MEDLINE | ID: mdl-35664221

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Risk_factors_studies Language: En Journal: Stat Sci Year: 2022 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Risk_factors_studies Language: En Journal: Stat Sci Year: 2022 Document type: Article Country of publication: