Stanley E. Lazic
Statistics and Probability · 2010–2020
A researcher in the Science corpus: 5 papers; trusts 16 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 70 citations into it; #4,206 of 12,932 by trust here, #3,801 by citations
- Economics and Econometrics — 18 citations into it
- Artificial Intelligence — 11 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Stanley E. Lazic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Moher
- Douglas G. Altman
- K. F. Schulz
- Ralitza Gueorguieva
- John H. Krystal
- John P. A. Ioannidis
- Julian J. Faraway
- Aaron M. Christ
- N. Toni
- R. Millar
Who trusts Stanley E. Lazic overall
- H. Hentschke
- Samuel J Lord
- Maik C. Stüttgen
- Katrina B. Velle
- R. Mullins
- Pierre Dragicevic
- Bodo Winter
- L. Fritz-Laylin
Papers from Stanley E. Lazic's perspective
Ordered by how strongly the researchers Stanley E. Lazic trusts endorse each paper. Same corpus, a different order for every researcher.
- The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration (Annals of Internal Medicine)
- Reproducibility in Science: Improving the Standard for Basic and Preclinical Research (Circulation Research)
- The Extent and Consequences of P-Hacking in Science (PLoS Biology)
- Improving bioscience research reporting: The ARRIVE guidelines for reporting animal research (Journal of Pharmacology and Pharmacotherapeutics)
- Mixed-Effects Models in S and S-Plus
- A comparison of observational studies and randomized, controlled trials. (New England Journal of Medicine)
- A call for transparent reporting to optimize the predictive value of preclinical research (Nature)
- CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials (British medical journal)
- Principles of multilevel modelling. (International Journal of Epidemiology)
- How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
Their papers
- A call for transparent reporting to optimize the predictive value of preclinical research (2012) — 1,158 citations
- The problem of pseudoreplication in neuroscientific studies: is it affecting your analysis? (2010) — 324 citations
- The ARRIVE guidelines 2.0: updated guidelines for reporting animal research (2020) — 1,289 citations
- The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research* (2020) — 7,982 citations
- Introducing Monte Carlo Methods with R (2012) — 63 citations