Sentence examples for longitudinal data analysis from inspiring English sources

Longitudinal data analysis examples with random coefficient models.

The proposed approach is further extended to longitudinal data analysis.

Locascio JJ, Atri A. An overview of longitudinal data analysis methods for neurological research.

Longitudinal data analysis comparing first and second waves will be conducted in 2017.

Dr. Sun's research interests include survival and longitudinal data analysis and statistical machine learning for time-to-event data.

This chapter discusses some major statistical methods for longitudinal data analysis in biomedical research.

A faculty member in the Department of Biostatistics since 2000, Zhezhen Jin's research interests include survival analysis, resampling methods, longitudinal data analysis, and nonparametric and semiparametric models.

Generalized linear and nonlinear mixed-effects models are used extensively in the study of repeated measurements and longitudinal data analysis.

A modeling paradigm is proposed for covariate, variance and working correlation structure selection for longitudinal data analysis.

His research interests in statistics include survival analysis, resampling methods, longitudinal data analysis, and nonparametric and semiparametric models.

A latent factor linear mixed model for high-dimensional longitudinal data analysis.