Camille Blais-Rochette
Modeling and Simulation · 2020
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Modeling and Simulation — 6 citations into it
- Statistics and Probability — 6 citations into it
Whom Camille Blais-Rochette trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Camille Blais-Rochette's perspective
Ordered by how strongly the researchers Camille Blais-Rochette trusts endorse each paper. Same corpus, a different order for every researcher.
- The psychological impact of the COVID-19 epidemic on college students in China (Psychiatry Research)
- Convergence properties of the q-deformed binomial distribution
- Conducting Meta-Analyses in R with the metafor Package
- The socio-economic implications of the coronavirus pandemic (COVID-19): A review (International Journal of Surgery)
- How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
- Controlling the risk of spurious findings from meta‐regression (Statistics in Medicine)
- Random-effects model for meta-analysis of clinical trials: an update. (Contemporary Clinical Trials)
- Advanced methods in meta‐analysis: multivariate approach and meta‐regression (Statistics in Medicine)
- Public responses to the novel 2019 coronavirus (2019‐nCoV) in Japan: Mental health consequences and target populations (Psychiatry and Clinical Neurosciences)
- What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data. (Statistics in Medicine)