V. Nyaga

Statistics and Probability · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom V. Nyaga trusts overall

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

  1. Lawrence D. Brown
  2. Dan Jackson
  3. M. Arbyn
  4. Tommaso Cai
  5. J. Bowden

Who trusts V. Nyaga overall

  1. P. Taylor
  2. K. Jomar
  3. M. Arbyn

Papers from V. Nyaga's perspective

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

  1. THE USE OF CONFIDENCE OR FIDUCIAL LIMITS ILLUSTRATED IN THE CASE OF THE BINOMIAL
  2. How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?
  3. Probable Inference, the Law of Succession, and Statistical Inference
  4. Interval Estimation for a Binomial Proportion
  5. Evidence regarding human papillomavirus testing in secondary prevention of cervical cancer. (Vaccine)
  6. What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data. (Statistics in Medicine)
  7. Guidelines for human papillomavirus DNA test requirements for primary cervical cancer screening in women of 30 years and older (International Journal of Cancer)
  8. Mathematical Statistics
  9. The Theory of Dispersion Models
  10. Controlling the false discovery rate: a practical and powerful approach to multiple testing

Their papers