Jeroen P Jansen

Summary

Affiliation: Tufts University
Country: USA

Publications

  1. pmc Quantitative summaries of treatment effect estimates obtained with network meta-analysis of survival curves to inform decision-making
    Shannon Cope
    Mapi Group, 33 Bloor Street East, Suite 1300, Toronto M4W 3H1, Canada
    BMC Med Res Methodol 13:147. 2013
  2. pmc A process for assessing the feasibility of a network meta-analysis: a case study of everolimus in combination with hormonal therapy versus chemotherapy for advanced breast cancer
    Shannon Cope
    MAPI, 33 Bloor Street East, Suite 1300, Toronto, Ontario M4W 3H1, Canada
    BMC Med 12:93. 2014
  3. pmc Is network meta-analysis as valid as standard pairwise meta-analysis? It all depends on the distribution of effect modifiers
    Jeroen P Jansen
    MAPI, 180 Canal Street, Suite 503, Boston, MA 02114, USA
    BMC Med 11:159. 2013

Collaborators

  • Shannon Cope
  • Brielan Smiechowski
  • Stephen Saletan
  • Peter Schmid
  • Jie Zhang

Detail Information

Publications3

  1. pmc Quantitative summaries of treatment effect estimates obtained with network meta-analysis of survival curves to inform decision-making
    Shannon Cope
    Mapi Group, 33 Bloor Street East, Suite 1300, Toronto M4W 3H1, Canada
    BMC Med Res Methodol 13:147. 2013
    ..In the context of survival analysis multiple treatment effect measures are available to inform the rank probabilities...
  2. pmc A process for assessing the feasibility of a network meta-analysis: a case study of everolimus in combination with hormonal therapy versus chemotherapy for advanced breast cancer
    Shannon Cope
    MAPI, 33 Bloor Street East, Suite 1300, Toronto, Ontario M4W 3H1, Canada
    BMC Med 12:93. 2014
    ....
  3. pmc Is network meta-analysis as valid as standard pairwise meta-analysis? It all depends on the distribution of effect modifiers
    Jeroen P Jansen
    MAPI, 180 Canal Street, Suite 503, Boston, MA 02114, USA
    BMC Med 11:159. 2013
    ..Although assumptions underlying pairwise meta-analyses are well understood, those concerning network meta-analyses are perceived to be more complex and prone to misinterpretation...