A. Paez
Statistics and Probability · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 5 citations into it; #12,518 of 12,932 by trust here, #10,275 by citations
Whom A. Paez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts A. Paez overall
Papers from A. Paez's perspective
Ordered by how strongly the researchers A. Paez trusts endorse each paper. Same corpus, a different order for every researcher.
- Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias (PLoS ONE)
- Grey literature in meta-analyses of randomized trials of health care interventions. (Cochrane Database of Systematic Reviews)
- Industry sponsorship and research outcome. (Cochrane Database of Systematic Reviews)
- Systematic Review and Meta-analysis Supplements for Primary and Secondary Prevention: Mortality in Randomized Trials of Antioxidant
- Observational studies analyzed like randomized experiments: an application to postmenopausal hormone therapy and coronary heart disease (Epidemiology)
- Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. (American Journal of Epidemiology)
- GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. (Journal of Clinical Epidemiology)
- GRADE guidelines: 2. Framing the question and deciding on important outcomes. (Journal of Clinical Epidemiology)
- Controlling the risk of spurious findings from meta‐regression (Statistics in Medicine)
- How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
Their papers
- Grey literature: An important resource in systematic reviews. (2017) — 1,331 citations