F. Nahm

Statistics and Probability · 2022

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom F. Nahm trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ilker Ünal
  2. Michael C. Sachs
  3. James A. Hanley
  4. Elizabeth R. DeLong
  5. Mónica López-Ratón
  6. Dincer Goksuluk
  7. Xavier Robin
  8. Nancy A. Obuchowski
  9. A. Akobeng
  10. Karimollah Hajian-Tilaki

Who trusts F. Nahm overall

  1. Ş. K. Çorbacıoğlu

Papers from F. Nahm's perspective

Ordered by how strongly the researchers F. Nahm trusts endorse each paper. Same corpus, a different order for every researcher.

  1. pROC: an open-source package for R and S+ to analyze and compare ROC curves
  2. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.
  3. ROC analysis: applications to the classification of biological sequences and 3D structures (Briefings Bioinform.)
  4. ROCR: visualizing classifier performance in R (Bioinform.)
  5. OptimalCutpoints: An R Package for Selecting Optimal Cutpoints in Diagnostic Tests
  6. Receiver operating characteristic curves and their use in radiology. (Radiology)
  7. The Statistical Evaluation of Medical Tests for Classification and Prediction
  8. The meaning and use of the area under a receiver operating characteristic (ROC) curve.
  9. An introduction to ROC analysis
  10. easyROC: An Interactive Web-tool for ROC Curve Analysis Using R Language Environment (The R Journal)

Their papers