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Design and testing for clinical trials faced with misclassified causes of death

(2010) BIOSTATISTICS. 11(3). p.546-558
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Abstract
With clinical trials under pressure to produce more convincing results faster, we reexamine relative efficiencies for the semiparametric comparison of cause-specific rather than all-cause mortality events, observing that in many settings misclassification of cause of failure is not negligible. By incorporating known misclassification rates, we derive an adapted logrank test that optimizes power when the alternative treatment effect is confined to the cause-specific hazard. We derive sample size calculations for this test as well as for the corresponding all-cause mortality and naive cause-specific logrank test which ignores the misclassification. This may lead to new options at the design stage which we discuss. We reexamine a recently closed vaccine trial in this light and find the sample size needed for the new test to be 32% smaller than for the equivalent all-cause analysis, leading to a reduction of 41 224 participants.
Keywords
COMPETING RISKS, Misclassification, Sample size, Cause-specific analysis, Competing risks, Verbal autopsy, DISEASE, GAMBIA, END-POINTS, CHILDHOOD MORTALITY, MORTALITY FRACTIONS, VERBAL AUTOPSIES, MISSING FAILURE TYPE, UPPER RIVER DIVISION, Clinical trials, Survival analysis, PNEUMOCOCCAL CONJUGATE VACCINE

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Citation

Please use this url to cite or link to this publication:

Chicago
Van Rompaye, Bart, Els Goetghebeur, and Shabbar Jaffar. 2010. “Design and Testing for Clinical Trials Faced with Misclassified Causes of Death.” Biostatistics 11 (3): 546–558.
APA
Van Rompaye, B., Goetghebeur, E., & Jaffar, S. (2010). Design and testing for clinical trials faced with misclassified causes of death. BIOSTATISTICS, 11(3), 546–558.
Vancouver
1.
Van Rompaye B, Goetghebeur E, Jaffar S. Design and testing for clinical trials faced with misclassified causes of death. BIOSTATISTICS. 2010;11(3):546–58.
MLA
Van Rompaye, Bart, Els Goetghebeur, and Shabbar Jaffar. “Design and Testing for Clinical Trials Faced with Misclassified Causes of Death.” BIOSTATISTICS 11.3 (2010): 546–558. Print.
@article{1115048,
  abstract     = {With clinical trials under pressure to produce more convincing results faster, we reexamine relative efficiencies for the semiparametric comparison of cause-specific rather than all-cause mortality events, observing that in many settings misclassification of cause of failure is not negligible. By incorporating known misclassification rates, we derive an adapted logrank test that optimizes power when the alternative treatment effect is confined to the cause-specific hazard. We derive sample size calculations for this test as well as for the corresponding all-cause mortality and naive cause-specific logrank test which ignores the misclassification. This may lead to new options at the design stage which we discuss. We reexamine a recently closed vaccine trial in this light and find the sample size needed for the new test to be 32\% smaller than for the equivalent all-cause analysis, leading to a reduction of 41 224 participants.},
  author       = {Van Rompaye, Bart and Goetghebeur, Els and Jaffar, Shabbar},
  issn         = {1465-4644},
  journal      = {BIOSTATISTICS},
  keyword      = {COMPETING RISKS,Misclassification,Sample size,Cause-specific analysis,Competing risks,Verbal autopsy,DISEASE,GAMBIA,END-POINTS,CHILDHOOD MORTALITY,MORTALITY FRACTIONS,VERBAL AUTOPSIES,MISSING FAILURE TYPE,UPPER RIVER DIVISION,Clinical trials,Survival analysis,PNEUMOCOCCAL CONJUGATE VACCINE},
  language     = {eng},
  number       = {3},
  pages        = {546--558},
  title        = {Design and testing for clinical trials faced with misclassified causes of death},
  url          = {http://dx.doi.org/10.1093/biostatistics/kxq011},
  volume       = {11},
  year         = {2010},
}

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