Daniel M. McNeish
Statistics and Probability · 2014–2020
A researcher in the Science corpus: 10 papers; trusts 144 researchers and is trusted by 54 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 155 citations into it; #1,656 of 12,932 by trust here, #2,407 by citations
- Management Science and Operations Research — 63 citations into it; #750 of 11,946 by trust here, #1,904 by citations
- Education — 36 citations into it
- Experimental and Cognitive Psychology — 33 citations into it; #538 of 9,731 by trust here, #3,670 by citations
- Social Psychology — 33 citations into it; #6,796 of 15,694 by trust here, #12,701 by citations
- Artificial Intelligence — 31 citations into it
- Computer Networks and Communications — 25 citations into it
- Economics and Econometrics — 22 citations into it; #8,660 of 23,481 by trust here, #13,168 by citations
Whom Daniel M. McNeish trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Gelman
- Kristopher J Preacher
- David P. MacKinnon
- Hui Zou
- Robert Tibshirani
- L. Hedges
- S. Depaoli
- Joop J. Hox
- William J. Browne
- R. van de Schoot
Who trusts Daniel M. McNeish overall
- R. van de Schoot
- Francis L. Huang
- Michael T. Kalkbrenner
- Milica Miočević
- Laura M. Stapleton
- T. Asparouhov
- Andrew F. Hayes
- M. Botha
- Markku V. J. Maula
- Silvia Collado
Papers from Daniel M. McNeish's perspective
Ordered by how strongly the researchers Daniel M. McNeish trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Generalized Linear Models
- Estimating the Dimension of a Model
- INFERENCE AND MISSING DATA
- Addendum: Regularization and variable selection via the elastic net
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Multilevel analysis : an introduction to basic and advanced multilevel modeling
- Statistical Analysis With Missing Data
- Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
Their papers
- Thanks coefficient alpha, we'll take it from here. (2017) — 2,054 citations
- On the Unnecessary Ubiquity of Hierarchical Linear Modeling (2017) — 685 citations
- Using Lasso for Predictor Selection and to Assuage Overfitting: A Method Long Overlooked in Behavioral Sciences (2015) — 392 citations
- The Effect of Small Sample Size on Two-Level Model Estimates: A Review and Illustration (2014) — 671 citations
- Modeling Clustered Data with Very Few Clusters (2016) — 372 citations
- Dynamic fit index cutoffs for confirmatory factor analysis models. (2020) — 376 citations
- Multilevel Mediation With Small Samples: A Cautionary Note on the Multilevel Structural Equation Modeling Framework (2017) — 78 citations
- Peer and teacher supports in relation to motivation and effort: A multi-level study (2017) — 167 citations
- Multilevel and Single-Level Models for Measured and Latent Variables When Data Are Clustered (2016) — 114 citations
- On Using Bayesian Methods to Address Small Sample Problems (2016) — 522 citations