
Автор: Colin O. Wu, Xin Tian
Издательство: Chapman and Hall/CRC
Серия: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 159)
ISBN: 1466516003
Год: 2018
Страниц: 582
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB
Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical studies in the era of big data and precision medicine. It also provides flexible tools to describe the temporal trends, covariate effects and correlation structures of repeated measurements in longitudinal data.