L. Griffith
Statistics and Probability · with Fu · 2011
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 21 citations into it
Whom L. Griffith trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Deeks (in Statistics and Probability)
Papers from L. Griffith's perspective
Ordered by how strongly the researchers L. Griffith trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the risk of spurious findings from meta‐regression (Statistics in Medicine)
- What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data. (Statistics in Medicine)
- Assessing Evidence Inconsistency in Mixed Treatment Comparisons
- Measuring inconsistency in meta-analyses (British medical journal)
- Indirect comparisons of competing interventions. (Health Technology Assessment)
- Issues in the selection of a summary statistic for meta‐analysis of clinical trials with binary outcomes (Statistics in Medicine)
- Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence from published meta-analyses (British medical journal)
- Network meta‐analysis for indirect treatment comparisons (Statistics in Medicine)
- Combination of direct and indirect evidence in mixed treatment comparisons (Statistics in Medicine)
- Evaluation of clinically relevant changes in patient reported outcomes in knee and hip osteoarthritis: the minimal clinically important improvement (Annals of the Rheumatic Diseases)