Deep learning for the change-point Cox model with current status data. [PDF]
Huang Q, Feng A, Wu Q, Tong X.
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On flexible covariate adjustment under covariate-constrained randomization. [PDF]
Wang B, Li F.
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SEMIPARAMETRIC ANALYSIS OF INTERVAL-CENSORED DATA SUBJECT TO INACCURATE DIAGNOSES WITH A TERMINAL EVENT. [PDF]
Deng Y, Zeng D, Wang Y.
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Semiparametric Estimation and Inference in Multinomial Choice Models
The purpose of this paper is to incorporate semiparametric alternatives to maximum likelihood estimation and inference in the context of unordered multinomial response data when in practice there is often insufficient information to specify the ...
Fahs, Rafic +2 more
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Prenatal paracetamol exposure and wheezing in infancy: a targeted maximum likelihood estimation application. [PDF]
Moccia C +11 more
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Marginal structural models for quantifying the causal effects of exposure to ambient air pollution on progression of CT emphysema in the MESA lung and MESA air studies. [PDF]
Malinsky D +11 more
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Semiparametric penalty function method in partially linear model selection
Model selection in nonparametric and semiparametric regression is of both theoretical and practical interest. Gao and Tong (2004) proposed a semiparametric leave–more–out cross–validation selection procedure for the choice of both the parametric and ...
Gao, Jiti, Dong, Chaohua, Tong, Howell
core
The Challenge of Time-to-Event Analysis for Multiple Events: A Guided Tour From Time-to-First-Event to Recurrent Time-to-Event Analysis. [PDF]
Schmeller S +4 more
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Uncovering causal relationships in single-cell omic studies with causarray. [PDF]
Du JH, Shen M, Mathys H, Roeder K.
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Nonparametric Density Estimation of a Long-Term Trend from Repeated Semicontinuous Data. [PDF]
Lemyre FC, Carroll RJ, Delaigle A.
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