Lisa M. McShane

Molecular Biology · 2002–2021

A researcher in the Science corpus: 16 papers; trusts 20 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Lisa M. McShane trusts overall

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

  1. Douglas G. Altman
  2. David Moher
  3. K. F. Schulz
  4. Patrick M. M. Bossuyt
  5. Patrick Royston
  6. Willi Sauerbrei
  7. Johannes B Reitsma
  8. David W. Hosmer Jr.
  9. Jr. Frank E. Harrell
  10. Michael R. Chernick

Who trusts Lisa M. McShane overall

  1. Douglas G. Altman
  2. Joseph P. Romano
  3. Richard M. Simon
  4. Gary S. Collins
  5. Sanat K. Sarkar
  6. Nicolai Meinshausen
  7. R. Riley
  8. Jelle J. Goeman
  9. Karel G. M. Moons
  10. Jesse Hemerik

Papers from Lisa M. McShane's perspective

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

  1. Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias (PLoS ONE)
  2. The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration (Annals of Internal Medicine)
  3. Dichotomizing continuous predictors in multiple regression: a bad idea (Statistics in Medicine)
  4. The challenge of subgroup analyses--reporting without distorting.
  5. Reducing waste from incomplete or unusable reports of biomedical research. (The Lancet)
  6. Practical statistics for medical research
  7. Survival Analysis Part I: Basic concepts and first analyses (British Journal of Cancer)
  8. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. (Clinical Chemistry)
  9. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. (Journal of the American Medical Association (JAMA))
  10. Applied Survival Analysis: Regression Modeling of Time-to-Event Data

Their papers