J. Brok

Statistics and Probability · 2008–2009

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 19 citations into it; #7,980 of 12,932 by trust here, #4,650 by citations
• Economics and Econometrics — 6 citations into it
• Molecular Biology — 6 citations into it; #13,065 of 17,773 by trust here, #13,891 by citations
• Surgery — 5 citations into it

Whom J. Brok trusts overall

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

1. K. Thorlund
2. J. Wetterslev
3. John P. A. Ioannidis
4. Julian P. T. Higgins
5. S. Thompson
6. C. Gluud
7. P. Devereaux

Who trusts J. Brok overall

1. J. Wetterslev
2. J. Jakobsen
3. C. Gluud
4. Rebecca M. Turner

Papers from J. Brok's perspective

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

1. Randomized trials stopped early for benefit: a systematic review. (Journal of the American Medical Association (JAMA))
2. How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
3. The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey (Canadian Medical Association Journal)
4. GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. (Journal of Clinical Epidemiology)
5. Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews (International Journal of Epidemiology)
6. Statistical heterogeneity in systematic reviews of clinical trials: a critical appraisal of guidelines and practice (Journal of Health Services Research and Policy)
7. Controlling the risk of spurious findings from meta‐regression (Statistics in Medicine)
8. Evaluating non-randomised intervention studies. (Health Technology Assessment)
9. The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method (BMC Medical Research Methodology)
10. Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias (PLoS ONE)

Their papers

• Trial sequential analysis reveals insufficient information size and potentially false positive results in many meta-analyses. (2008) — 985 citations
• Trial sequential analysis may establish when firm evidence is reached in cumulative meta-analysis. (2008) — 1,687 citations
• Apparently conclusive meta-analyses may be inconclusive--Trial sequential analysis adjustment of random error risk due to repetitive testing of accumulating data in apparently conclusive neonatal meta-analyses. (2009) — 801 citations