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A comparison of the box-cox transformation method and nonparametric methods for estimating quantiles in clinical data with repeated measures

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Publication:4851426
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DOI10.1080/00949659308811480zbMath0925.62495OpenAlexW2037031400MaRDI QIDQ4851426

Scott A. Hamilton, Jeremy M. G. Taylor

Publication date: 8 November 1999

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949659308811480


Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)


Related Items

Response transformations in repeated measures and growth curve models, Errors-in-variables and the Box-Cox transformation



Cites Work

  • Unnamed Item
  • Comparison of Quantile Estimators in Normal Sampling
  • Power transformations to symmetry
  • Measures of Location of Skew Distributions Obtained Through Box-Cox Transformations
  • Using a Generalized Mean as a Measure of Location
  • An Analysis of Transformations Revisited
  • A Statistical Evaluation of Multiplicative Congruential Random Number Generators with Modulus 2 31 - 1
  • A new distribution-free quantile estimator
  • A generalized quantile estimator
  • On power transformations to symmetry
  • Computing Maximum Likelihood Estimates for the Mixed A. O. V. Model Using the W Transformation
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