Semiparametric Regression for Periodic Longitudinal Hormone Data from Multiple Menstrual Cycles

DOI10.1111/j.0006-341X.2000.00031.xzbMath1060.62516WikidataQ30592875 ScholiaQ30592875MaRDI QIDQ4668370

Xihong Lin, Daowen Zhang, Mary Fran Sowers

Publication date: 19 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

nonparametric regressionrestricted maximum likelihoodpenalized likelihoodperiodic smoothing splingtest for equality of functions

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

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Cites Work

• Unnamed Item
• Spline smoothing: The equivalent variable kernel method
• Semiparametric comparison of regression curves
• Penalized Likelihood for General Semi-Parametric Regression Models
• Smoothing Spline Models with Correlated Random Errors
• Automatic Smoothing of the Log Periodogram
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Mixed Effects Smoothing Spline Analysis of Variance
• Semiparametric Stochastic Mixed Models for Longitudinal Data
• A Flexible Model for Human Circadian Rhythms
• Non-Parametric Analysis of Covariance
• Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves
• Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
• Prediction and Creation of Smooth Curves for Temporally Correlated Longitudinal Data
• Comparison of Regression Curves Using Quasi-Residuals
• Bootstrap Test for Difference Between Means in Nonparametric Regression