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   Articles with "semiparametric regression" as a keyword



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Semiparametric regression analysis for alternating recurrent event data.

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recommendations! Published in 2018 at "Statistics in medicine"

DOI: 10.1002/sim.7563

Abstract: Alternating recurrent event data arise frequently in clinical and epidemiologic studies, where 2 types of events such as hospital admission and discharge occur alternately over time. The 2 alternating states defined by these recurrent events… read more here.

Keywords: semiparametric regression; recurrent event; event data; alternating states ... See more keywords
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Variable selection in semiparametric regression models for longitudinal data with informative observation times.

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recommendations! Published in 2022 at "Statistics in medicine"

DOI: 10.1002/sim.9417

Abstract: A common issue in longitudinal studies is that subjects' visits are irregular and may depend on observed outcome values which is known as longitudinal data with informative observation times (follow-up). Semiparametric regression modeling for this… read more here.

Keywords: regression; informative observation; longitudinal data; semiparametric regression ... See more keywords
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Variance estimation for semiparametric regression models by local averaging

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recommendations! Published in 2018 at "TEST"

DOI: 10.1007/s11749-017-0553-3

Abstract: Variance estimation is a fundamental problem in statistical modelling and plays an important role in the inferences after model selection and estimation. In this paper, we focus on several nonparametric and semiparametric models and propose… read more here.

Keywords: estimation; estimation semiparametric; local averaging; variance estimation ... See more keywords
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Estimation of semiparametric regression model with right-censored high-dimensional data

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recommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2019.1572757

Abstract: ABSTRACT In this paper, we consider the estimation problem for the semiparametric regression model with censored data in which the number of explanatory variables p in the linear part is much larger than sample size… read more here.

Keywords: censored high; high dimensional; estimation; regression model ... See more keywords
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The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data

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recommendations! Published in 2020 at "Journal of Applied Statistics"

DOI: 10.1080/02664763.2020.1803812

Abstract: Semiparametric regressions can be used to model data when covariables and the response variable have a nonlinear relationship. In this work, we propose three flexible regression models for bimodal ... read more here.

Keywords: regression model; climatology; model; semiparametric regression ... See more keywords
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Semiparametric regression analysis of bivariate censored events in a family study of Alzheimer's disease.

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recommendations! Published in 2021 at "Biostatistics"

DOI: 10.1093/biostatistics/kxab014

Abstract: Assessing disease comorbidity patterns in families represents the first step in gene mapping for diseases and is central to the practice of precision medicine. One way to evaluate the relative contributions of genetic risk factor… read more here.

Keywords: family study; alzheimer disease; family; disease ... See more keywords

A Bayesian Semiparametric Regression Model for Joint Analysis of Microbiome Data

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recommendations! Published in 2018 at "Frontiers in Microbiology"

DOI: 10.3389/fmicb.2018.00522

Abstract: The successional dynamics of microbial communities are influenced by the synergistic interactions of physical and biological factors. In our motivating data, ocean microbiome samples were collected from the Santa Cruz Municipal Wharf, Monterey Bay at… read more here.

Keywords: bayesian semiparametric; analysis; regression model; model ... See more keywords
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More accurate semiparametric regression in pharmacogenomics.

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recommendations! Published in 2018 at "Statistics and its interface"

DOI: 10.4310/sii.2018.v11.n4.a2

Abstract: A key step in pharmacogenomic studies is the development of accurate prediction models for drug response based on individuals' genomic information. Recent interest has centered on semiparametric models based on kernel machine regression, which can… read more here.

Keywords: accurate semiparametric; irrelevant covariates; regression pharmacogenomics; regression ... See more keywords
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SEMIPARAMETRIC REGRESSION ANALYSIS OF REPEATED CURRENT STATUS DATA.

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recommendations! Published in 2017 at "Statistica Sinica"

DOI: 10.5705/ss.202014.0153

Abstract: In many clinical studies, patients may be asked to report their medication adherence, presence of side effects, substance use, and hospitalization information during the study period. However, the exact occurrence time of these recurrent events… read more here.

Keywords: status data; current status; repeated current; semiparametric regression ... See more keywords