Patrick J. Heagerty

Statistics and Probability · 1994–2016

A researcher in the Science corpus: 11 papers; trusts 2 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick J. Heagerty trusts overall

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

  1. Edward Carlstein
  2. James A. Hanley
  3. Thomas Lumley
  4. K. Liang
  5. M. Pepe

Who trusts Patrick J. Heagerty overall

  1. Chandra R. Bhat
  2. Yongtao Guan
  3. Dimitris Rizopoulos
  4. Charles E. McCulloch
  5. Michael C. Sachs
  6. Yan Li
  7. M. Dale
  8. Ping Wang
  9. J. Neuhaus
  10. Marisol Castro

Papers from Patrick J. Heagerty's perspective

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

  1. Nonparametric Estimation from Incomplete Observations
  2. The Use of Subseries Values for Estimating the Variance of a General Statistic from a Stationary Sequence
  3. Discovering statistics using SPSS, 2nd ed.
  4. Discovering Statistics Using SPSS
  5. Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC)
  6. Diabetic Kidney Disease: A Report From an ADA Consensus Conference (Diabetes Care)
  7. Body Mass Index and Risk for End-Stage Renal Disease (Annals of Internal Medicine)
  8. Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors
  9. Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy. (New England Journal of Medicine)
  10. Albuminuria and kidney function independently predict cardiovascular and renal outcomes in diabetes. (Journal of the American Society of Nephrology)

Their papers