Results 251 to 260 of about 19,219 (292)
, 2001 Much empirical research is concerned with estimating conditional mean, median, or hazard functions. For example, labor economists are interested in estimating the mean wages of employed individuals conditional on characteristics such as years of work experience and education.
Joseph G. Ibrahim +2 more
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Semiparametric regression model selections
Journal of Statistical Planning and Inference, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shi, Peide, Tsai, Chih-Ling
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A Semiparametric Model for Recapture Experiments
Scandinavian Journal of Statistics, 2003Abstract.A two‐step procedure based on the conditional likelihood is proposed to estimate the population size of a closed population using a semiparametric model for recapture studies. An asymptotic variance estimate and numerical results are presented. The method is applied to a bird banding dataset in Hong Kong.
Wang, Y, Yip, PSF
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On semiparametric familial–longitudinal models
Statistics & Probability Letters, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sneddon, Gary, Sutradhar, Brajendra C.
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Bayesian Semiparametric Proportional Odds Models
Biometrics, 2007SummaryMethodology for implementing the proportional odds regression model for survival data assuming a mixture of finite Polya trees (MPT) prior on baseline survival is presented. Extensions to frailties and generalized odds rates are discussed. Although all manner of censoring and truncation can be accommodated, we discuss model implementation ...
Hanson, Timothy, Yang, Mingan
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Semiparametric transition rate models
2019The most widely applied semiparametric model is the proportional hazards model proposed by D. R. Cox, or, as stated in the literature, the Cox model. The Cox model has been used widely, although the proportionality assumption restricts its range of possible empirical applications. This chapter explains the partial likelihood estimation of the model. It
Hans-Peter Blossfeld +3 more
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Fitting semiparametric cure models
Computational Statistics & Data Analysis, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Approximate Standard Errors in Semiparametric Models
Biometrics, 1999Summary.SUMMARY. We consider semiparametric models with p regressor terms and q smooth terms. We obtain an explicit expression for the estimate of the regression coefficients given by the back‐fitting algorithm. The calculation of the standard errors of these estimates based on this expression is a considerable computational exercise.
Durban, Maria +2 more
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Checking a Semiparametric Additive Risk Model
Lifetime Data Analysis, 2005McKeague and Sasieni [A partly parametric additive risk model. Biometrika 81 (1994) 501] propose a restriction of Aalen's additive risk model by the additional hypothesis that some of the covariates have time-independent influence on the intensity of the observed counting process.
Gandy, Axel, Jensen, Uwe
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