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Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
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vivaGen - a survival data set generator for software testing.

Matthias Gietzelt1,2, Christian Karmen1, Petra Knaup-Gregori1

  • 1Heidelberg University, Institute of Medical Biometry and Informatics, Im Neuenheimer Feld 130.3, Heidelberg, 69120, Germany.

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Summary
This summary is machine-generated.

This study is an amendment to a previously published paper. Please refer to the original article for the updated information and full details.

Keywords:
BiomarkerData set generatorJavaSurvival data

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Area of Science:

  • Scientific publishing
  • Research integrity

Background:

  • Ensuring accuracy in scientific literature is crucial.
  • Amendments are necessary to correct or update published findings.

Purpose of the Study:

  • To notify readers of a published amendment.
  • To direct readers to the corrected or updated version of the paper.

Main Methods:

  • Publication of an official amendment notice.
  • Linking the amendment to the original article.

Main Results:

  • The original article has been officially amended.
  • Readers can access the updated information through the provided link.

Conclusions:

  • The amendment ensures the scientific record is accurate.
  • Readers should consult the amended version for the latest findings.