MCMC Estimation in MLwiN (Version 2.13) Centre for Multilevel Modelling, University of Bristol

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Children's educational progress: partitioning family, school and area effects (2010, methodology): “Further details of the Markov chain Monte Carlo estimation methodology are given in Browne (2009).”
Multilevel Modeling of Social Segregation (2012, methodology): “Estimates obtained using the quasi-likelihood methods in MLwiN were used as initial values.”
Improving Transparency and Replication in Bayesian Statistics: The WAMBS-Checklist (2017, unknown): “…estimation methods in popular software and programming languages like WinBUGS and OpenBUGS (Lunn, Thomas, Best, & Spiegelhal-ter, 2000), MlWiN (Browne, 2009), AMOS (Arbuckle, 2006), M plus (Muthén & Muthén, 1998–2015), BIEMS (Mulder, Hoij-tink, & de Leeuw, 2012), JASP (Love et al., 2015) via…”
High School Socioeconomic Segregation and Student Attainment (2013, methodology): “Missing Values Multiple imputations (MI) of missing values were conducted (Rubin, 1987) based on a newer technique designed for nested data (Browne, 2009).”
Age, Period and Cohort Processes in Longitudinal and Life Course Analysis: A Multilevel Perspective (2015, methodology): “10All models were run using Bayesian Monte Carlo Markov Chain (MCMC) estimation using MLwiN version 2.29 (Rasbash et al. 2014; Browne 2009), with a 500 iteration burn-in and 50,000 iteration chain length.”