G. Nattino

Statistics and Probability · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom G. Nattino trusts overall

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

  1. William S. Cleveland
  2. Peter C. Austin
  3. J. le Gall
  4. Ewout W. Steyerberg
  5. Sunil Rao

Who trusts G. Nattino overall

  1. Feng Xie
  2. Bibhas Chakraborty

Papers from G. Nattino's perspective

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

  1. Robust Locally Weighted Regression and Smoothing Scatterplots
  2. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis
  3. A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study.
  4. Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers (Statistics in Medicine)
  5. Applied Logistic Regression: Hosmer/Applied Logistic Regression
  6. Goodness of fit tests for the multiple logistic regression model
  7. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  8. Clinical Prediction Models—a Practical Approach to Development, Validation and Updating
  9. Multilevel Statistical Models
  10. Clinical Prediction Models

Their papers