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Nonparametric Tests of Independence for Censored Data with Application to Heart Transplant Studies.


AD767617

Publication Date 1973
Personal Author Brown, B. W.; Hollander, M.; Korwar, R. M.
Page Count 30
Abstract The authors investigdate which variables are correlated with post-transplant survival length. Variables considered are sex, age, waiting time for donor, and date of transplant. These investigations lead to new nonparametric tests of independence for censored data. (Modified author abstract)
Keywords
  • Heart
  • Transplantation
  • Statistical analysis
  • Data
  • Biometry
  • Surgery
  • Survival
  • Analysis of variance
  • Biostatistics
Source Agency
  • Invalid Source Agency Code
NTIS Subject Category
  • 57E - Clinical Medicine
  • 72F - Statistical Analysis
Corporate Authors Florida State Univ Tallahassee Dept of Statistics
Supplemental Notes Prepared in cooperation with Stanford Univ., Calif. Sponsored in part by Public Health Service.
Document Type Technical Report
NTIS Issue Number 197322
Nonparametric Tests of Independence for Censored Data with Application to Heart Transplant Studies.
Nonparametric Tests of Independence for Censored Data with Application to Heart Transplant Studies.
AD767617

  • Heart
  • Transplantation
  • Statistical analysis
  • Data
  • Biometry
  • Surgery
  • Survival
  • Analysis of variance
  • Biostatistics
  • Invalid Source Agency Code
  • 57E - Clinical Medicine
  • 72F - Statistical Analysis
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