MLwiN is a statistical software package for fitting multilevel models. It uses both maximum likelihood estimation and Markov Chain Monte Carlo (MCMC) methods. MLwiN is based on an earlier package, MLn, but with a graphical user interface (as well as other additional features)[1]. MLwiN represents multilevel models using mathematical notation including Greek letters and multiple subscripts, so the user needs to be (or become) familiar with such notation.

References in zbMATH (referenced in 105 articles )

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  1. Van Breukelen, Gerard J. P.: Psychometric modeling of response speed and accuracy with mixed and conditional regression (2005)
  2. Candel, Math J. J. M.: Performance of empirical Bayes estimators of random coefficients in multilevel analysis: some results for the random intercept-only model (2004)
  3. Maas, Cora J. M.; Hox, Joop J.: Robustness issues in multilevel regression analysis (2004)
  4. Maas, Cora J. M.; Hox, Joop J.: The influence of violations of assumptions on multilevel parameter estimates and their standard errors (2004)
  5. Pardoe, Iain: Model assessment plots for multilevel logistic regression (2004)
  6. Rabe-Hesketh, Sophia; Skrondal, Anders; Pickles, Andrew: Generalized multilevel structural equation modeling (2004)
  7. Shi, Lei; Ojeda, Mario Miguel: Local influence in multilevel regression for growth curves (2004)
  8. Steele, Fiona; Goldstein, Harvey; Browne, William: A general multilevel multistate competing risks model for event history data, with an application to a study of contraceptive use dynamics (2004)
  9. van Duijn, Marijtje A. J.; Snijders, Tom A. B.; Zijlstra, Bonne J. H.: (p_2): a random effects model with covariates for directed graphs (2004)
  10. Ali Fotouhi: Comparisons of Estimation Procedures for Nonlinear Multilevel Models (2003) not zbMATH
  11. Carpenter, James R.; Goldstein, Harvey; Rasbash, Jon: A novel bootstrap procedure for assessing the relationship between class size and achievement (2003)
  12. Fielding, Antony; Yang, Min; Goldstein, Harvey: Multilevel ordinal models for examination grades (2003)
  13. Moerbeek, Mirjam; Van Breukelen, Gerard J. P.; Berger, Martin: A comparison of estimation methods for multilevel logistic models (2003)
  14. Renard, Didier; Molenberghs, Geert; Geys, Helena: A pairwise likelihood approach to estimation in multilevel probit models (2003)
  15. Steele, Fiona: A discrete-time multilevel mixture model for event history data with long-term survivors, with an application to an analysis of contraceptive sterilization in Bangladesh (2003)
  16. Browne, William J.; Draper, David; Goldstein, Harvey; Rasbash, Jon: Bayesian and likelihood methods for fitting multilevel models with complex level-1 variation. (2002)
  17. Ribaudo, H. J.; Thompson, S. G.: The analysis of repeated multivariate binary quality of life data: a hierarchical model approach (2002)
  18. Zaccarin, Susanna; Rivellini, Giulia: Multilevel analysis in social research: an application of a cross-classified model (2002)
  19. Leyland, Alastair H. (ed.); Goldstein, Harvey (ed.): Multilevel modelling of health statistics (2001)
  20. Raab, Gillian M.; Parpia, Tamiza: Random effects models for HIV marker data: practical approaches with currently available software (2001)