Semiparametric estimation for average causal effects using propensity score-based spline
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2020.10.004
Abstract: Abstract When estimating the average causal effect in observational studies, researchers have to tackle both self-selection of treatment and outcome modeling. This is difficult because the parametric form of the outcome model is often unknown… read more here.
Keywords: average causal; semiparametric estimation; propensity score;
Semiparametric estimation of multivariate partially linear models
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2017.1318135
Abstract: ABSTRACT Inspired by a primary hypertension study was conducted by Chinese government in the Inner Mongolia Autonomous Region, we introduce partially linear models with multivariate responses to evaluate the simultaneous effects of modifiable risk factors… read more here.
Keywords: multivariate partially; semiparametric estimation; linear models; partially linear ... See more keywords
Semiparametric Estimation of the Distribution of Episodically Consumed Foods Measured With Error
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2020.1787840
Abstract: Dietary data collected from 24-hour dietary recalls are observed with significant measurement errors. In the nonparametric curve estimation literature, much of the effort has been devoted to design... read more here.
Keywords: estimation; estimation distribution; semiparametric estimation; distribution episodically ... See more keywords
Semiparametric estimation of plane similarities: application to fast computation of aeronautic loads
Sign Up to like & getrecommendations! Published in 2019 at "Statistics"
DOI: 10.1080/02331888.2019.1632859
Abstract: ABSTRACT In the big data era, it is often needed to resolve the problem of parsimonious data representation. In this paper, the data under study are curves and the sparse representation is based on a… read more here.
Keywords: plane similarities; semiparametric estimation; estimation plane; application fast ... See more keywords
Semiparametric estimation of the non-mixture cure model with auxiliary survival information.
Sign Up to like & getrecommendations! Published in 2021 at "Biometrics"
DOI: 10.1111/biom.13450
Abstract: With rapidly increasing data sources, statistical methods that make use of external information are gradually becoming popular tools in medical research. In this article, we efficiently synthesize the auxiliary survival information and propose a semiparametric… read more here.
Keywords: auxiliary survival; information; semiparametric estimation; non mixture ... See more keywords
Nonparametric and semiparametric estimation with sequentially truncated survival data.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13678
Abstract: In observational cohort studies with complex sampling schemes, truncation arises when the time to event of interest is observed only when it falls below or exceeds another random time, i.e., the truncation time. In more… read more here.
Keywords: time; event; truncation; semiparametric estimation ... See more keywords
Semiparametric estimation for isotropic max-stable space-time processes
Sign Up to like & getrecommendations! Published in 2019 at "Bernoulli"
DOI: 10.3150/18-bej1061
Abstract: Regularly varying space-time processes have proved useful to study extremal dependence in space-time data. We propose a semiparametric estimation procedure based on a closed form expression of the extremogram to estimate parametric models of extremal… read more here.
Keywords: time processes; space time; semiparametric estimation; space ... See more keywords