Models for Repeated Measurements
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Cited by:
- Devin S. Johnson & Jennifer A. Hoeting, 2003. "Autoregressive Models for Capture-Recapture Data: A Bayesian Approach," Biometrics, The International Biometric Society, vol. 59(2), pages 341-350, June.
- Marta Nai Ruscone & Daniel Fernández, 2021. "Dynamics of HDI Index: Temporal Dependence Based on D-vine Copulas Model for Three-Way Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(2), pages 563-593, December.
- Gianni Betti & Antonella D’Agostino & Laura Neri, 2002. "Panel regression models for measuring multidimensional poverty dynamics," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 11(3), pages 359-369, October.
- Ivy Liu & Alan Agresti, 2005. "The analysis of ordered categorical data: An overview and a survey of recent developments," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(1), pages 1-73, June.
- Courgeau, Daniel, 2007. "Multilevel synthesis. From the group to the individual," MPRA Paper 43189, University Library of Munich, Germany.
- A. Azarbar & Y. Zhang & S. Nadarajah, 2019. "An investigation of effective factors on children’s growth failure in Iran using multilevel models," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 553-560, March.
- Nadia Solaro & Pier Ferrari, 2007.
"Robustness of Parameter Estimation Procedures in Multilevel Models When Random Effects are MEP Distributed,"
Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 16(1), pages 51-67, June.
- Nadia Solaro & Pier Alda Ferrari, 2005. "Robustness of parameter estimation procedures in multilevel models when random effects are MEP distributed," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1013, Universitá degli Studi di Milano.
- Ulf Böckenholt, 2003. "Analysing state dependences in emotional experiences by dynamic count data models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(2), pages 213-226, May.
- Lindsey, J.K. & Lindsey, P.J., 2006. "Multivariate distributions with correlation matrices for nonlinear repeated measurements," Computational Statistics & Data Analysis, Elsevier, vol. 50(3), pages 720-732, February.
- D. M. Farewell & C. Huang & V. Didelez, 2017. "Ignorability for general longitudinal data," Biometrika, Biometrika Trust, vol. 104(2), pages 317-326.
- M. Pourahmadi & M. J. Daniels, 2002. "Dynamic Conditionally Linear Mixed Models for Longitudinal Data," Biometrics, The International Biometric Society, vol. 58(1), pages 225-231, March.
- P. J. Lindsey & J. Kaufmann, 2004. "Analysis of a longitudinal ordinal response clinical trial using dynamic models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 53(3), pages 523-537, August.
- Mohsen Pourahmadi, 2002. "Graphical Diagnostics for Modeling Unstructured Covariance Matrices," International Statistical Review, International Statistical Institute, vol. 70(3), pages 395-417, December.
- Filomena Maggino & Carolina Facioni, 2017. "Measuring Stability and Change: Methodological Issues in Quality of Life studies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 161-187, January.
- Merlo, Luca & Petrella, Lea & Salvati, Nicola & Tzavidis, Nikos, 2022. "Marginal M-quantile regression for multivariate dependent data," Computational Statistics & Data Analysis, Elsevier, vol. 173(C).
- Luca Merlo & Lea Petrella & Nikos Tzavidis, 2022. "Quantile mixed hidden Markov models for multivariate longitudinal data: An application to children's Strengths and Difficulties Questionnaire scores," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(2), pages 417-448, March.
- Susanne May & Victor DeGruttola, 2007. "Nonparametric Tests for Two-Group Comparisons of Dependent Observations Obtained at Varying Time Points," Biometrics, The International Biometric Society, vol. 63(1), pages 194-200, March.
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