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Issue 3, Volume 5, 2021

Editorial Foreword

Editorial Foreword

Jun Shao ,
Yincai Tang
dol:10.1080/24754269.2021.1963398
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Review Article

Inference after covariate-adaptive randomisation: aspects of methodology and theory

Jun Shao
dol:10.1080/24754269.2021.1871873
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Short Communication

Rejoinder on ‘Inference after covariate-adaptive randomization: aspects of methodology and theory

Jun Shao
dol:10.1080/24754269.2021.1905357
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Comment: inference after covariate-adaptive randomisation: aspects of methodology and theory

Ting Ye ,
Yanyao Yi
dol:Global Statistical Sciences, Eli Lilly and Company, Indianapolis, IN, USA
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Comment on ‘Inference after covariate-adaptive randomisation: aspects of methodology and theory’

Hanzhong Liu
dol:10.1080/24754269.2021.1905378
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Comment: Inference after covariate-adaptive randomisation: aspects of methodology and theory

Bingkai Wang ,
Ryoko Susukida ,
Ramin Mojtabai ,
Masoumeh Amin-Esmaeili ,
Michael Rosenblum
dol:10.1080/24754269.2021.1905591
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Comment on ‘Inference after covariate-adaptive randomisation: aspects of methodology and theory’

Wei Ma ,
Li-Xin Zhang ,
Feifang Hu
dol:10.1080/24754269.2021.1905592
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Articles

A three-parameter logistic regression model

Xiaoli Yu ,
Shaoting Li ,
Jiahua Chen
dol:10.1080/24754269.2020.1796098
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Personalized treatment selection via the covariatespecific treatment effect curve for longitudinal data

Yanghui Liu ,
Riquan Zhang ,
Shujie Ma ,
Xiuzhen Zhang
dol:10.1080/24754269.2020.1762059
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New extreme value theory for maxima of maxima

Wenzhi Cao ,
Zhengjun Zhang
dol:10.1080/24754269.2020.1846115
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beta-divergence loss for the kernel density estimation with bias reduced

Hamza Dhaker ,
El Hadji Deme ,
Youssou Ciss
dol:10.1080/24754269.2020.1858630
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An integrated epidemic modelling framework for the real-time forecast of COVID-19 outbreaks in current epicentres

Jiawei Xu ,
Yincai Tang
dol:10.1080/24754269.2021.1872131
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