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George Leckie
George Leckie
Professor of Social Statistics, Centre for Multilevel Modelling, University of Bristol
在 bristol.ac.uk 的电子邮件经过验证 - 首页
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引用次数
年份
(2014). Individual-and area-level influence on suicide risk: A multilevel longitudinal study of Swedish schoolchildren. Psychological Medicine, 44 (2), 267-277. DOI: 10.1017 …
S Zammit, D Gunnell, G Lewis, G Leckie, C Dalman, P Allebeck
A Beginner’s Guide to Stat-JR’s TREE interface version 1.0. 0
KJ Goldstein, G Leckie, L Moreau
2013
A beginner's guide to Stat‐JR's TREE Interface (Version 1.0. 5)
WJ Browne, CM Charlton, DT Michaelides, RM Parker, B Cameron, ...
England: Centre for Multilevel Modelling, University of Bristol, 2017
42017
A celebration of Harvey Goldstein’s lifetime contributions: Memories of working with Harvey Goldstein on educational research and statistics
G Leckie
Journal of the Royal Statistical Society Series A: Statistics in Society 185 …, 2022
2022
A comparison of value-added models for school accountability
G Leckie, L Prior
School Effectiveness and School Improvement 33 (3), 431-455, 2022
142022
A dynamic social relations model for clustered longitudinal dyadic data with continuous or ordinal responses
R Pillinger, F Steele, G Leckie, J Jenkins
Journal of the Royal Statistical Society Series A: Statistics in Society 187 …, 2024
2024
A multilevel modelling approach to measuring changing patterns of ethnic composition and segregation among London secondary schools, 2001–2010
G Leckie, H Goldstein
Journal of the Royal Statistical Society Series A: Statistics in Society 178 …, 2015
462015
A note on ‘The limitations of school league tables to inform school choice’
G Leckie, H Goldstein
Journal of the Royal Statistical Society Series A: Statistics in Society 174 …, 2011
382011
A reassessment of socio-economic gradients in child cognitive development using Growth Mixture Models
K Sindall, P Sturgis, F Steele, G Leckie, R French
Longitudinal and Life Course Studies 10 (3), 283-305, 2019
42019
A review and evaluation of secondary school accountability in England: Statistical strengths, weaknesses and challenges for ‘Progress 8’raised by COVID‐19
L Prior, J Jerrim, D Thomson, G Leckie
Review of Education 9 (3), e3299, 2021
232021
A simple multilevel approach for analysing geographical inequalities in public health reports: the case of municipality differences in obesity
J Merlo, P Wagner, G Leckie
Health & place 58, 102145, 2019
672019
A tutorial for conducting intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA)
CR Evans, G Leckie, SV Subramanian, A Bell, J Merlo
SSM-population health, 101664, 2024
72024
An advanced user’s guide to Stat-JR (Version 1.0. 5)
WJ Browne, CMJ Charlton, DT Michaelides, RMA Parker, B Cameron, ...
Bristol, England: Centre for Multilevel Modelling, University of Bristol, 2017
12017
An Advanced User’s Guide to Stat-JR version 1.0. 0
KJ Goldstein, G Leckie, L Moreau
2013
An original stepwise multilevel logistic regression analysis of discriminatory accuracy: the case of neighbourhoods and health
J Merlo, P Wagner, N Ghith, G Leckie
PloS one 11 (4), e0153778, 2016
2182016
Analysing inter-provincial urban migration flows in China: A new multilevel gravity model approach
XN Zhang, WW Wang, R Harris, G Leckie
Migration Studies 8 (1), 19-42, 2020
302020
Antidepressant use in Sweden: an intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA)
H Ljungman, M Wemrell, K Khalaf, R Perez-Vicente, G Leckie, J Merlo
Scandinavian journal of public health 50 (3), 395-403, 2022
162022
Avoiding bias when estimating the consistency and stability of value-added school effects
G Leckie
Journal of Educational and Behavioral Statistics 43 (4), 440-468, 2018
242018
Bootstrapped inference for variance parameters, measures of heterogeneity and random effects in multilevel logistic regression models
PC Austin, G Leckie
Journal of Statistical Computation and Simulation 90 (17), 3175-3199, 2020
182020
BS8 2BN, UK
RMA Parker, G Leckie, H Goldstein, LD Howe, J Heron, AD Hughes, ...
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