Nan M. Laird

Statistics and Probability · 1972–2015

A researcher in the Science corpus: 9 papers; trusts 8 researchers and is trusted by 1,364 researchers here, as inferred from the citation graph.

Subfields

Whom Nan M. Laird trusts overall

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

  1. Geoffrey J. McLachlan
  2. J. Inthout
  3. Guido Knapp
  4. Eleazar Eskin

Who trusts Nan M. Laird overall

  1. Yoshua Bengio
  2. Zoubin Ghahramani
  3. Geoffrey E. Hinton
  4. Alan L. Yuille
  5. David M. Blei
  6. Ruslan Salakhutdinov
  7. Sergey Levine
  8. Kyunghyun Cho
  9. Dacheng Tao
  10. Trevor Darrell

Papers from Nan M. Laird's perspective

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

  1. Quantifying heterogeneity in a meta‐analysis (Statistics in Medicine)
  2. A refined method for the meta‐analysis of controlled clinical trials with binary outcome (Statistics in Medicine)
  3. Random-effects model for meta-analysis of clinical trials: an update. (Contemporary Clinical Trials)
  4. The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method (BMC Medical Research Methodology)
  5. Primary, Secondary, and Meta-Analysis of Research
  6. Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies. (American Journal of Human Genetics)
  7. Data Analysis Using Stein's Estimator and its Generalizations
  8. Iterative Reclassification Procedure for Constructing An Asymptotically Optimal Rule of Allocation in Discriminant-Analysis
  9. A Unified Approach to Adjusting Association Tests for Population Admixture with Arbitrary Pedigree Structure and Arbitrary Missing Marker Information (Human Heredity)
  10. Factor Analysis as a Statistical Method.

Their papers