Application of hierarchical linear models to assessing change.

Bryk, Anthony S., Raudenbush, Stephen W.·1987·Psychological Bulletin
DOI 10.1037//0033-2909.101.1.147

Cites (5)

  1. Maximum Likelihood from Incomplete Data Via the EM Algorithm
    Dempster, A. P., Laird, N. M., Rubin, D. B. · 1977 · Journal of the Royal Statistical Society Series B: Statistical Methodology
  2. Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
    Harville, David A. · 1977 · Journal of the American Statistical Association
  3. Bayes Estimates for the Linear Model
    Lindley, D. V., Smith, A. F. M. · 1972 · Journal of the Royal Statistical Society Series B: Statistical Methodology
  4. Parametric empirical Bayes inference: theory and applications
    Morris, Carl N. · 1983 · Journal of the American Statistical Association
  5. Empirical bayes meta-analysis.
    Raudenbush, Stephen W., Bryk, Anthony S. · 1985 · Journal of Educational Statistics

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.