M. Nivard
Statistics and Probability · 2011–2021
A researcher in the Science corpus: 10 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 20 citations into it; #12,438 of 12,932 by trust here, #7,508 by citations
- Artificial Intelligence — 5 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom M. Nivard trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Hadley Wickham (in Artificial Intelligence)
- Hirotugu Akaike (in Evaluation & Benchmarks)
- Thomas W. Yee (in Economics and Econometrics)
Who trusts M. Nivard
- Paul-Christian Burkner (in Statistics and Probability)
Papers from M. Nivard's perspective
Ordered by how strongly the researchers M. Nivard trusts endorse each paper. Same corpus, a different order for every researcher.
- ltm: An R Package for Latent Variable Modeling and Item Response Theory Analyses
- A new look at the statistical model identification
- MCMCpack: Markov chain Monte Carlo in R
- Estimation of Models in a Rasch Family for Polytomous Items and Multiple Latent Variables
- Reshaping Data with the reshape Package
- The VGAM Package for Categorical Data Analysis
- Estimating the Multilevel Rasch Model: With the lme4 Package
- Latent Gold 4.0 User's Guide
- HLM 6: Hierarchical Linear and Nonlinear Modeling
- Generalized, Linear, and Mixed Models (Technometrics)
Their papers
- Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis (2018) — 511 citations
- The estimation of item response models with the lmer function from the lme4 package in R (2011) — 329 citations
- Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression (2021) — 1,862 citations
- Mapping the human genetic architecture of COVID-19 (2021) — 807 citations
- Identification of common genetic risk variants for autism spectrum disorder (2019) — 2,059 citations
- Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes (2018) — 707 citations
- Genomic SEM Provides Insights into the Multivariate Genetic Architecture of Complex Traits (2018) — 608 citations
- Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (2017) — 2,735 citations
- Ultra-rare disruptive and damaging mutations influence educational attainment in the general population (2016) — 97 citations
- Genetic variants associated with subjective well-being, depressive symptoms and neuroticism identified through genome-wide analyses (2016) — 986 citations