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A simple consistent bootstrap test for a parametric regression function
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Smoothing spline estimation in varying‐coefficient models
Summary.  Smoothing spline estimators are considered for inference in varying‐coefficient models with one effect modifying covariate. Bayesian ‘confidence intervals’ are developed for the coefficient…
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Regression Analysis When Covariates Are Regression Parameters of a Random Effects Model for Observed Longitudinal Measurements
TLDR
A refined regression calibration estimator is considered whose performance is close to that of the pseudo-EEE estimator but does not require numerical integration and is applied to analyze a real dataset from a child growth study.
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A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams
TLDR
This paper proposes a framework for detecting changes in multidimensional data streams based on principal component analysis, which is used for projecting data into a lower dimensional space, thus facilitating density estimation and change-score calculations and has advantages over existing approaches.
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Estimating misclassification error with small samples via bootstrap cross-validation
TLDR
A bootstrap cross-validation method that achieves accurate error estimation through a simple procedure with bootstrap resampling and only costs computer CPU time is studied.
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Analyses of Nursing Home Residents With Cancer at Admission
TLDR
Nursing home staff at nursing facilities need to address depression, pain management, and the implementation of advance directives to improve the quality of life for residents with cancer.
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Generalized empirical likelihood methods for analyzing longitudinal data
TLDR
Two generalized empirical likelihood-based methods that take into consideration within-subject correlations are proposed and a nonparametric version of the Wilks theorem for the limiting distributions of the empirical likelihood ratios is derived.
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Analyses of nursing home residents with diabetes at admission.
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Perceived barriers to children’s active commuting to school: a systematic review of empirical, methodological and theoretical evidence
TLDR
The purpose of this review was to critically assess the current literature on perceived barriers to children’s ACS and provide recommendations for future studies, and to offer insights for more sophisticated ACS studies in the future.
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Limited information likelihood analysis of survey data
Analysts of survey data are often interested in modelling the population process, or superpopulation, that gave rise to a ‘target’ set of survey variables. An important tool for this is maximum…
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