Detecting Pulsatile Hormone Secretions Using Nonlinear Mixed Effects Partial Spline Models

DOI10.1111/j.1541-0420.2005.00403.xzbMath1091.62129OpenAlexW1969227323WikidataQ42492201 ScholiaQ42492201MaRDI QIDQ5473230

Yuedong Wang, Yu-Chieh Yang, Anna Liu

Publication date: 20 June 2006

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2005.00403.x

zbMATH Keywords

model selectionsmoothing splinerandom effectsshrinkageendocrinologyhormone datasemiparametric nonlinear mixed effects model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Biochemistry, molecular biology (92C40) Estimation in survival analysis and censored data (62N02)

Related Items (2)

Modeling of Hormone Secretion‐Generating Mechanisms with Splines: A Pseudo‐Likelihood Approach ⋮ Analysis of Pulsatile Hormone Concentration Profiles with Nonconstant Basal Concentration: A Bayesian Approach

Uses Software

• R
• assist

Cites Work

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• Deconvolution of Episodic Hormone Data: An analysis of the Role of Season on the Onset of Puberty in Cows
• Flexible Parsimonious Smoothing and Additive Modeling
• Data Analysis Using Stein's Estimator and its Generalizations
• Mixed Effects Smoothing Spline Analysis of Variance
• Hybrid Adaptive Splines
• Semiparametric Nonlinear Mixed-Effects Models and Their Applications
• A Marked Point Process Model for the Source Proximity Effect in the Indoor Environment
• A Stochastic Biomathematical Model of the Male Reproductive Hormone System
• Inference in Two-Phase Regression

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