| Joint maximum likelihood estimation for high-dimensional exploratory item factor analysis Y Chen, X Li, S Zhang Psychometrika 84, 124-146, 2019 | 119 | 2019 |
| Structured latent factor analysis for large-scale data: Identifiability, estimability, and their implications Y Chen, X Li, S Zhang Journal of the American Statistical Association 115 (532), 1756-1770, 2020 | 100 | 2020 |
| An improved stochastic EM algorithm for large‐scale full‐information item factor analysis S Zhang, Y Chen, Y Liu British Journal of Mathematical and Statistical Psychology 73 (1), 44-71, 2020 | 65 | 2020 |
| Computation for latent variable model estimation: A unified stochastic proximal framework S Zhang, Y Chen psychometrika 87 (4), 1473-1502, 2022 | 30 | 2022 |
| Estimation methods for item factor analysis: An overview Y Chen, S Zhang Modern statistical methods for health research, 329-350, 2021 | 16 | 2021 |
| A Latent Gaussian process model for analysing intensive longitudinal data Y Chen, S Zhang British Journal of Mathematical and Statistical Psychology 73 (2), 237-260, 2020 | 16 | 2020 |
| On the estimation of structural equation models with latent variables Y Chen, I Moustaki, S Zhang Handbook of structural equation modeling, 145-162, 2023 | 10 | 2023 |
| Longitudinal analysis of exchanges of support between parents and children in the UK F Steele, S Zhang, E Grundy, T Burchardt Journal of the Royal Statistical Society Series A: Statistics in Society 187 …, 2024 | 5 | 2024 |
| A note on Ising network analysis with missing data S Zhang, Y Chen Psychometrika, 1-17, 2024 | 4 | 2024 |
| Welfare within families beyond households: intergenerational exchanges of practical and financial support in the UK T Burchardt, F Steele, E Grundy, E Karagiannaki, J Kuha, I Moustaki, ... LSE Public Policy Review 2 (1), 2021 | 4 | 2021 |
| Joint maximum likelihood estimation for high-dimensional exploratory item response analysis Y Chen, X Li, S Zhang arXiv preprint arXiv:1712.06748, 2017 | 4 | 2017 |
| Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support J Kuha, S Zhang, F Steele The Annals of Applied Statistics 17 (2), 1521-1542, 2023 | 3 | 2023 |
| A Gibbs‐INLA algorithm for multidimensional graded response model analysis X Lin, S Zhang, Y Tang, X Li British Journal of Mathematical and Statistical Psychology 77 (1), 169-195, 2024 | 1 | 2024 |
| Modelling correlation matrices in multivariate dyadic data: Latent variable models for intergenerational exchanges of family support S Zhang, J Kuha, F Steele arXiv preprint arXiv:2210.14751, 2022 | 1 | 2022 |
| Modelling correlations among grouped random effects in multilevel models with an application to the estimation of household effects on longitudinal health outcomes F Steele, S Zhang, P Clarke 38th International Workshop on Statistical Modelling, 19, 2024 | | 2024 |
| Modelling correlation matrices in multivariate data, with application to reciprocity and complementarity of child-parent exchanges of support S Zhang, J Kuha, F Steele Annals of Applied Statistics, 2024 | | 2024 |
| Supplement to ‘Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications’ Y Chen, X Li, S Zhang | | 2019 |
