Maximum Likelihood Estimation for Semiparametric Regression Models With Panel Count Data. [PDF]
Biometrika, 2021 Zeng BD, Lin DY.
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Longitudinal Data Regression Analysis Using Semiparametric Modelling
Revstat Statistical JournalZhang, Leng and Tang (2015) propose joint parametric modelling of the means, variances, and the correlations by decomposing the correlation matrix via hyperspherical co-ordinates and show that this results unconstrained parameterization, fast ...
Abdulla Mamun, Sudhir Paul
doaj
Estimation of conditional cumulative incidence functions under generalized semiparametric regression models with missing covariates, with application to analysis of biomarker correlates in vaccine trials. [PDF]
Can J Stat, 2023 Sun Y, Heng F, Lee U, Gilbert PB.
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Semiparametric regression analysis of partly interval-censored failure time data with application to an AIDS clinical trial. [PDF]
Stat Med, 2021 Zhou Q, Sun Y, Gilbert PB.
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Multivariate and semiparametric kernel regression [PDF]
, 1997 The paper gives an introduction to theory and application of multivariate and semiparametric kernel smoothing. Multivariate nonparametric density estimation is an often used pilot tool for examining the structure of data. Regression smoothing helps in investigating the association between covariates and responses.
Härdle, Wolfgang, Müller, Marlene
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SEMIPARAMETRIC REGRESSION AND GRAPHICAL MODELS
Australian & New Zealand Journal of Statistics, 2009 SummarySemiparametric regression models that use spline basis functions with penalization have graphical model representations. This link is more powerful than previously established mixed model representations of semiparametric regression, as a larger class of models can be accommodated. Complications such as missingness and measurement error are more
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Specification and Estimation of Rating Scale Models: With an Application to the Determinants of Life Satisfaction [PDF]
Rating variables indicate the extent to which a quality is present, or absent, in a unit of observation. In this paper, we discuss a class of non-linear regression models for rating dependent variables and their estimation by parametric and ...
Rainer Winkelmann, Raphael Studer
core
Semiparametric regression analysis of case-cohort studies with multiple interval-censored disease outcomes. [PDF]
Stat Med, 2021 Zhou Q, Cai J, Zhou H.
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An Analysis of Housing Expenditure Using Semiparametric Cross-Section Models [PDF]
In this paper we model expenditure on housing for owners and renters by means of endogenous switching regression models using cross-section data. We explain the share of housing in total expenditure from family characteristics and total expenditure ...
Charlier, E. +2 more
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PLoS ONEThe accurate monitoring of metabolic syndrome in older adults is relevant in terms of its early detection, and its management. This study aimed at proposing a novel semiparametric modeling for a cardiometabolic risk index (CMRI) and individual risk ...
Philippe Tagder +7 more
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