K. Tilling

Statistics and Probability · 2002–2020

A researcher in the Science corpus: 12 papers; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 67 citations into it
• Genetics — 35 citations into it; #1,807 of 6,854 by trust here, #3,711 by citations
• Public Health, Environmental and Occupational Health — 18 citations into it
• Pediatrics, Perinatology and Child Health — 15 citations into it
• Health, Toxicology and Mutagenesis — 12 citations into it; #406 of 1,398 by trust here, #419 by citations
• Rheumatology — 12 citations into it
• Epidemiology — 9 citations into it
• Management Science and Operations Research — 5 citations into it

Whom K. Tilling trusts overall

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

1. George Davey Smith
2. J. Bowden
3. Ian R. White
4. Lyle Ungar
5. Stephen Burgess
6. James M. Robins
7. Subir Ghosh
8. S. Seaman
9. Brandon L. Pierce
10. Arne Henningsen

Who trusts K. Tilling overall

1. J. Bowden
2. Gibran Hemani
3. George Davey Smith
4. E. Sanderson
5. F. Del Greco M
6. Wes Spiller

Papers from K. Tilling's perspective

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

1. Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators (American Journal of Epidemiology)
2. Mendelian randomization: prospects, potentials, and limitations. (International Journal of Epidemiology)
3. Triangulation in aetiological epidemiology (International Journal of Epidemiology)
4. Use of blood pressure lowering drugs in the prevention of cardiovascular disease: meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies (British medical journal)
5. Missing data
6. Statistical Analysis With Missing Data
7. Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator (Genetic Epidemiology)
8. Negative Controls: A Tool for Detecting Confounding and Bias in Observational Studies (Epidemiology)
9. Cohort Profile: The ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children (International Journal of Epidemiology)
10. A Structural Approach to Selection Bias

Their papers

• RoB 2: a revised tool for assessing risk of bias in randomised trials (2019) — 28,662 citations
• Orienting the causal relationship between imprecisely measured traits using GWAS summary data (2017) — 2,215 citations
• Accounting for missing data in statistical analyses: multiple imputation is not always the answer (2019) — 639 citations
• G-estimation of Causal Effects, Allowing for Time-varying Confounding (2002) — 54 citations
• Collider bias undermines our understanding of COVID-19 disease risk and severity (2020) — 742 citations
• The proportion of missing data should not be used to guide decisions on multiple imputation (2019) — 937 citations
• The Avon Longitudinal Study of Parents and Children (ALSPAC): an update on the enrolled sample of index children in 2019 (2019) — 734 citations
• Subcortical brain volume differences of participants with ADHD across the lifespan: an ENIGMA collaboration (2017) — 1,342 citations
• Triangulation in aetiological epidemiology (2016) — 1,070 citations
• Collider scope: when selection bias can substantially influence observed associations (2016) — 715 citations
• A comparison of approaches for assessing covariate effects in latent class analysis (2015) — 53 citations
• Cohort Profile: The Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort (2012) — 2,402 citations