O. Yavors’ka

Genetics · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom O. Yavors’ka trusts overall

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

  1. Stephen Burgess
  2. J. Bowden
  3. George Davey Smith
  4. S. Thompson
  5. Adam S. Butterworth
  6. James R. Staley
  7. R. Scott
  8. F. Del Greco M
  9. Philip C. Haycock
  10. Nicholas J. Timpson

Who trusts O. Yavors’ka overall

  1. Gibran Hemani
  2. Zijian Guo
  3. J. Bowden
  4. Hyunseung Kang
  5. Jie Zheng
  6. George Davey Smith
  7. T. Tony Cai

Papers from O. Yavors’ka's perspective

Ordered by how strongly the researchers O. Yavors’ka trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression (International Journal of Epidemiology)
  2. Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data (Genetic Epidemiology)
  3. Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator (Genetic Epidemiology)
  4. Mendelian randomization as an instrumental variable approach to causal inference (Statistical Methods in Medical Research)
  5. Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors (European Journal of Epidemiology)
  6. Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic (International Journal of Epidemiology)
  7. Avoiding bias from weak instruments in Mendelian randomization studies. (International Journal of Epidemiology)
  8. Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization
  9. Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators (American Journal of Epidemiology)
  10. Instruments for Causal Inference: An Epidemiologist's Dream?

Their papers