Statistical analysis of the results of heart valve replacement.

  • Wu Y
  • Grunkemeier G
  • 3


    Mendeley users who have this article in their library.
  • N/A


    Citations of this article.


A variety of statistical methods can be used to analyze the results of heart valve replacement. In this review, we illustrate the methodology and the application of the techniques that are most widely used. For early events, univariate analysis and multivariate logistic regression are illustrated. For late (time-related) events, nonparametric methods (Kaplan-Meier and cumulative incidence or 'actual' analysis), parametric methods (based on the exponential, Gompertz and Weibull distributions) and semiparametric methods (Cox proportional hazards) are illustrated.

Author-supplied keywords

  • Aged
  • Aged, 80 and over
  • Aortic Valve
  • Aortic Valve: surgery
  • Data Interpretation, Statistical
  • Female
  • Heart Valve Diseases
  • Heart Valve Diseases: epidemiology
  • Heart Valve Diseases: surgery
  • Heart Valve Prosthesis Implantation
  • Heart Valve Prosthesis Implantation: statistics &
  • Humans
  • Male
  • Middle Aged
  • Mitral Valve
  • Mitral Valve: surgery
  • Models, Statistical
  • Oregon
  • Oregon: epidemiology
  • Time Factors
  • Treatment Outcome

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • YingXing Wu

  • Gary L Grunkemeier

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free