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Comparing center-specific cumulative incidence functions.

Ludi Fan1, Douglas E Schaubel2

  • 1Eli Lilly and Company, 893 S Delaware St., Indianapolis, IN, 46285, USA. lfan@umich.edu.

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|March 21, 2015
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Summary
This summary is machine-generated.

This study introduces a new method to compare cumulative incidence functions (CIF) across different centers, accounting for patient characteristics. This approach helps evaluate organ procurement organizations and their kidney transplant outcomes more accurately.

Keywords:
Center effectCompeting risksCox regressionCumulative incidence functionKidney transplantation

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Area of Science:

  • Biostatistics
  • Epidemiology
  • Clinical Research

Background:

  • Competing risks data are common in clinical and epidemiological studies.
  • Cumulative incidence functions (CIF) are crucial for understanding specific event occurrences.
  • Comparing CIF across subgroups requires adjusting for covariate distribution imbalances, especially in observational studies.

Purpose of the Study:

  • To propose a novel measure for contrasting center-specific cumulative incidence functions (CIF).
  • To evaluate organ procurement organizations based on kidney transplantation CIF.
  • To adjust for confounding factors when comparing group-specific CIF.

Main Methods:

  • The proposed method estimates center-specific CIF by assuming proportional cause-specific hazards.
  • Cox models stratified by center are used to estimate these hazards.
  • The center effect measure compares a center's average CIF to a hypothetical national average CIF for that center's covariate patterns.

Main Results:

  • The study developed a statistical measure to quantify differences in CIF between centers.
  • The method was applied to national organ transplant registry data.
  • This allows for a more equitable comparison of organ procurement organization performance.

Conclusions:

  • The proposed measure effectively contrasts center-specific cumulative incidence functions.
  • This method aids in the objective evaluation of organ procurement organizations.
  • It provides a robust framework for analyzing competing risks data in multi-center studies.