Nadiah Sa’at

Statistics and Probability · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nadiah Sa’at trusts overall

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

  1. John P. A. Ioannidis

Who trusts Nadiah Sa’at overall

  1. Netta Achdut

Papers from Nadiah Sa’at's perspective

Ordered by how strongly the researchers Nadiah Sa’at trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Why Most Published Research Findings Are False
  2. Using Multivariate Statistics
  3. Sample Sizes When Using Multiple Linear Regression for Prediction
  4. Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data. (American Journal of Human Genetics)
  5. Identification of ten loci associated with height highlights new biological pathways in human growth (Nature Genetics)
  6. Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease (Nature Genetics)
  7. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits (Nature Genetics)
  8. A refined method for the meta‐analysis of controlled clinical trials with binary outcome (Statistics in Medicine)
  9. A simple confidence interval for meta‐analysis (Statistics in Medicine)
  10. The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. (Journal of Clinical Epidemiology)

Their papers