Skip to main navigation Skip to search Skip to main content

Which Test Is Best: Evaluation of Traditional and Contemporary Statistical Tests for Analysis of Spherical Equivalent Prediction Error

  • Nathan T. Cannon
  • , Giacomo Savini
  • , Seth M. Pantanelli
  • , Kenneth Hoffer
  • , Petros Aristodemou
  • , Kamran Riaz
  • , David Murphy
  • , David Griffin
  • , Christian Berry
  • , Guillaume Debellemanière
  • , Mathieu Gauvin
  • , Avi Wallerstein
  • , Woong Joo Whang
  • , Kyungmin Koh
  • , Kazuno Negishi
  • , Ken Hayashi
  • , Diogo Hipólito-Fernandes
  • , David L. Cooke
  • Pennsylvania State University
  • IRCCS Fondazione G.B. Bietti per lo studio e la ricerca in oftalmologia - Roma
  • University of California at Los Angeles
  • Cyprus Institute of Neurology and Genetics
  • VRMCy Clinic (P.A.)
  • University of Oklahoma
  • Rothschild Foundation (G.D.)
  • McGill University
  • Montreal (A.W.)
  • Konyang University
  • Keio University
  • Hayashi Eye Hospital
  • Centro Hospitalar Universitário De Lisboa Central (D.H.-F.)
  • St Joseph (D.L.C.)

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Fingerprint

Dive into the research topics of 'Which Test Is Best: Evaluation of Traditional and Contemporary Statistical Tests for Analysis of Spherical Equivalent Prediction Error'. Together they form a unique fingerprint.
Sort by

Medicine and Dentistry