L. Chambless

Statistics and Probability · 2000–2011

A researcher in the Science corpus: 10 papers; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom L. Chambless trusts overall

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

  1. Subir Ghosh
  2. Patrick J. Heagerty

Who trusts L. Chambless overall

  1. A. Kamarudin
  2. Philip S. Thomas
  3. Ewout W. Steyerberg
  4. Jay P. Singh
  5. T. Cox
  6. Michael J. Pencina
  7. Bruno Castro da Silva
  8. C. Loizou
  9. G. Diao
  10. Andrew J. Vickers

Papers from L. Chambless's perspective

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

  1. Statistical Analysis With Missing Data
  2. Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors
  3. Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. (Journal of the American Medical Association (JAMA))
  4. Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker (Biometrics)
  5. Use of multiple biomarkers to improve the prediction of death from cardiovascular causes. (New England Journal of Medicine)
  6. Association of serial measures of cardiac troponin T using a sensitive assay with incident heart failure and cardiovascular mortality in older adults. (Journal of the American Medical Association (JAMA))
  7. Obesity among US immigrant subgroups by duration of residence. (Journal of the American Medical Association (JAMA))
  8. The value and challenges of participatory research: strengthening its practice. (Annual Review of Public Health)
  9. The Statistical Analysis of Failure Time Data (Technometrics)
  10. Survival Model Predictive Accuracy and ROC Curves (Biometrics)

Their papers