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 )

Showing results 21 to 40 of 105.
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  1. Zhang, Tao; Zhang, Xingyu; Ma, Yue; Zhou, Xiaohua Andrew; Liu, Yuanyuan; Feng, Zijian; Li, Xiaosong: Bayesian spatio-temporal random coefficient time series (BaST-RCTS) model of infectious disease (2014)
  2. Carpenter, James; Kenward, Michael: Multiple imputation and its applications (2013)
  3. George Leckie; Chris Charlton: runmlwin: A Program to Run the MLwiN Multilevel Modeling Software from within Stata (2013) not zbMATH
  4. Villalta, Desirée; Guenni, Lelys; Rubio-Palis, Yasmin; Ramírez Arbeláez, Raúl: Bayesian space-time modeling of malaria incidence in Sucre state, Venezuela: spatial special issue (2013)
  5. Ahmed, Wondimu; Minnaert, Alexander; Kuyper, Hans; van der Werf, Greetje: Reciprocal relationships between math self-concept and math anxiety (2012) MathEduc
  6. Bacci, Silvia: Longitudinal data: different approaches in the context of item-response theory models (2012)
  7. Lesaffre, Emmanuel; Lawson, Andrew B.: Bayesian biostatistics (2012)
  8. Neema, Isak; Böhning, Dankmar: Monitoring murder crime in Namibia using Bayesian space-time models (2012)
  9. Samat, N. A.; Percy, D. F.: Vector-borne infectious disease mapping with stochastic difference equations: an analysis of dengue disease in Malaysia (2012)
  10. Snijders, Tom A. B.; Bosker, Roel J.: Multilevel analysis. An introduction to basic and advanced multilevel modeling (2012)
  11. Van De Schoot, Rens; Hoijtink, Herbert; Romeijn, Jan-Willem; Brugman, Daniel: A prior predictive loss function for the evaluation of inequality constrained hypotheses (2012)
  12. Atem, Folefac D.; Sharma, Ravi K.; Anderson, Stewart J.: Fitting bivariate multilevel models to assess long-term changes in body mass index and cigarette smoking (2011)
  13. Black, Anne C.; Harel, Ofer; McCoach, D. Betsy: Missing data techniques for multilevel data: implications of model misspecification (2011)
  14. Cho, S.-J.; Rabe-Hesketh, S.: Alternating imputation posterior estimation of models with crossed random effects (2011)
  15. Hendriks, A. A. Jolijn; Kuyper, Hans; Lubbers, Miranda J.; van der Werf, Margaretha P. C.: Personality as a moderator of context effects on academic achievement (2011) MathEduc
  16. James Carpenter; Harvey Goldstein; Michael Kenward: REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types (2011) not zbMATH
  17. Masaoud, Elmabrok; Stryhn, Henrik; Whyte, Shona; Browne, William J.: Statistical modelling of neighbor treatment effects in aquaculture clinical trials (2011)
  18. Morris, Carl; Tang, Ruoxi: Estimating random effects via adjustment for density maximization (2011)
  19. Reiss, Michael; Hoyles, Celia; Mujtaba, Tamjid; Riazi-Farzad, Bijan; Rodd, Melissa: Understanding participation rates in post-16 mathematics and physics: conceptualising and operationalising the upmap project (2011) MathEduc
  20. Steele, Fiona: Steele’s response to Haynes and Brown (2011)