Explaining Fixed Effects: Random effects modelling of time-series cross-sectional and panel data A Bell, K Jones Political Science Research and Methods 3 (1), 133-153, 2015 | 1880 | 2015 |
Fixed and Random effects models: making an informed choice A Bell, M Fairbrother, K Jones Quality and Quantity 53 (2), 1051-1074, 2019 | 1028 | 2019 |
Another ’futile quest’? A simulation study of Yang and Land’s Hierarchical Age-Period-Cohort model A Bell, K Jones Demographic Research 30, 333-360, 2014 | 238 | 2014 |
The impossibility of separating age, period and cohort effects A Bell, K Jones Social Science & Medicine 93, 163-165, 2013 | 207 | 2013 |
Age Period Cohort analysis: A review of what we should and shouldn’t do A Bell Annals of Human Biology 47 (2), 208-217, 2020 | 137 | 2020 |
The Hierarchical Age-Period-Cohort model: Why does it find the results that it finds? A Bell, K Jones Quality and Quantity 52 (2), 783-799, 2018 | 120 | 2018 |
Understanding and misunderstanding Group mean centering: a commentary on Kelley et al.'s dangerous practice A Bell, K Jones, M Fairbrother Quality and Quantity 52 (5), 2031-2036, 2018 | 108 | 2018 |
Life-course and cohort trajectories of mental health in the UK, 1991-2008 – a multilevel age-period-cohort analysis A Bell Social Science & Medicine 120, 21-30, 2014 | 106 | 2014 |
Age, Period and Cohort Processes in Longitudinal and Life Course Analysis: A Multilevel Perspective A Bell, K Jones A Life Course Perspective on Health Trajectories and Transitions, 197-213, 2015 | 91 | 2015 |
Don't birth cohorts matter? A commentary and simulation exercise on Reither, Hauser, and Yang's (2009) age–period–cohort study of obesity A Bell, K Jones Social Science & Medicine 101, 176-180, 2014 | 90 | 2014 |
Stylised fact or situated messiness? The diverse effects of increasing debt on national economic growth A Bell, R Johnston, K Jones Journal of Economic Geography 15 (2), 449-472, 2015 | 76 | 2015 |
Can intersectionality help with understanding and tackling health inequalities? Perspectives of professional stakeholders D Holman, S Salway, A Bell, B Beach, A Adebajo, N Ali, J Butt Health Research Policy and Systems 19 (97), 2021 | 63 | 2021 |
Using shrinkage in multilevel models to understand intersectionality: a simulation study and a guide for best practice A Bell, D Holman, K Jones Methodology 15 (2), 88-96, 2019 | 60 | 2019 |
Urban geography and protest mobilization in Africa S Fox, A Bell Political Geography 53, 54-64, 2016 | 53 | 2016 |
Should age-period-cohort analysts accept innovation without scrutiny? A response to Reither, Masters, Yang, Powers, Zheng and Land A Bell, K Jones Social Science & Medicine 128, 331-333, 2015 | 52 | 2015 |
Formula for success: Multilevel modelling of Formula One Driver and Constructor performance, 1950-2014 A Bell, J Smith, CE Sabel, K Jones Journal of Quantitative Analysis in Sport 12 (2), 99-112, 2016 | 41 | 2016 |
Bayesian informative priors with Yang and Land’s hierarchical age–period–cohort model A Bell, K Jones Quality & Quantity 49 (1), 255-266, 2015 | 33 | 2015 |
Mapping intersectional inequalities in biomarkers of healthy ageing and chronic disease in older English adults DJ Holman, S Salway, A Bell Scientific Reports 10 (13522), 2020 | 32 | 2020 |
Current practice in the modelling of Age, Period and Cohort effects with panel data: a commentary on Tawfik et al (2012), Clarke et al (2009), and McCulloch (2012) A Bell, K Jones Quality and Quantity 48 (4), 2089-2095, 2014 | 32 | 2014 |
A survey of new PIs in the UK S Acton, A Bell, C Toseland, A Twelvetrees eLife 8 (e46827), 1-14, 2019 | 28 | 2019 |