Multi-Kink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis

Chuang Wan, Wei Zhong, Wenyang Zhang, Changliang Zou

Research output: Contribution to journal › Article › peer-review

Original language	English
Number of pages	14
Journal	Biometrics (Journal of the International Biometric Society)
Early online date	11 Apr 2022
DOIs	https://doi.org/10.1111/biom.13667
Publication status	E-pub ahead of print - 11 Apr 2022

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title = "Multi-Kink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis",

author = "Chuang Wan and Wei Zhong and Wenyang Zhang and Changliang Zou",

year = "2022",

month = apr,

day = "11",

doi = "10.1111/biom.13667",

language = "English",

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T1 - Multi-Kink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis

AU - Wan, Chuang

AU - Zhong, Wei

AU - Zhang, Wenyang

AU - Zou, Changliang

PY - 2022/4/11

Y1 - 2022/4/11

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DO - 10.1111/biom.13667

M3 - Article

SN - 1541-0420

JO - Biometrics (Journal of the International Biometric Society)

JF - Biometrics (Journal of the International Biometric Society)

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