Regression Calibration in Additive Risk Model with Missing Covariates

Regression Calibration in Additive Risk Model with Missing Covariates

碩士 === 國立清華大學 === 統計學研究所 === 91 ===

Bibliographic Details
Main Authors:	Jia-Ling Kang, 康嘉玲
Other Authors:	Der-Shin Chang
Format:	Others
Language:	en_US
Published:	2003
Online Access:	http://ndltd.ncl.edu.tw/handle/19546092343366435206

Similar Items

Aalen Additive Risk Model with Missing Covariates
by: Lee, I-Der, et al.
Published: (1996)

Model selection in regression analysis on the data with multicollinearity and missing covariates
by: Shih-Yun Lee, et al.
Published: (2004)

LOGISTIC REGRESSION WITH MISSING COVARIATE FOR CORRELATED BINARY RESPONSE
by: Peng, Shu-Zhen, et al.
Published: (1995)

Large-Scale Expectile Regression With Covariates Missing at Random
by: Yingli Pan, et al.
Published: (2020-01-01)

Semiparametric Analysis of Randomized Data with Missing Covariates in Logistic Regression
by: Shu-Hui Hsieh, et al.
Published: (2009)

Semiparametric Estimation of a Zero-Inflated Poisson Regression Model with Missing Covariates
by: Martin Tshishimbi Wa Lukusa, et al.
Published: (2015)

Multiple Imputation for Handling Missing Data of Covariates in Meta-Regression
by: Diaz Yanez, Karina Gabriela
Published: (2021)

Additive Hazards Regression with Incomplete Covariate Measurements
by: Shy-Hao Liu, et al.
Published: (2002)

Estimation of Regression Coefficients under a Truncated Covariate with Missing Values
by: Reinhammar, Ragna
Published: (2019)

Logistic Regression with Missing Covariate Data From a Complex Survey
by: Ruei-Ting Fong, et al.
Published: (2011)

Is Complete Case Analysis Appropriate For Cox Regression with Missing Covariate Data?
by: Zhu, Min
Published: (2018)

Analysis of Additive Risk Model with High Dimensional Covariates Using Correlation Principal Component Regression
by: Wang, Guoshen
Published: (2008)

Quantile regression in risk calibration
by: Chao, Shih-Kang
Published: (2015)

Parameter Estimation in Multiple Logistic Regression with Missing Covariate under Multiple Imputation
by: Yu-Ting Huang, et al.
Published: (2012)

MULTI-STATE MODELS WITH MISSING COVARIATES
by: Lou, Wenjie
Published: (2016)

Improved adjustment for covariate measurement error in radon studies: alternatives to regression calibration
by: Pagán-Rivera, Keyla
Published: (2017)

Model-based covariable decorrelation in linear regression (CorReg) : application to missing data and to steel industry
by: Théry, Clément
Published: (2015)

Comparison of Validation Likelihood Estimator for Randomized Response Data with Missing Covariates in Logistic Regression
by: Shu-Ching Chang, et al.
Published: (2009)

Dimensionality Problem in Linear Model with Missing Covariates
by: Tseng, Chien-Cheng, et al.
Published: (1999)

Finite sample performance of nonparametric regression estimators : the case of additive and parametric covariance models
by: Yang, Ke
Published: (2012)

Statistical Method for Missing Covariates
by: Ting-Yin Liu, et al.
Published: (2012)

Additive Hazard Regression with Current Status Data and Measurement Error in Covariates
by: Yu-Tsai Wang, et al.
Published: (2010)

Constructing prognostic models in the presence of missing covariate data
by: Marshall, Andrea
Published: (2008)

Regression Analysis for Outcome-Dependent Sampling Design under the Covariate-Adjusted Additive Hazards Model
by: Yingli Pan, et al.
Published: (2020-01-01)

Additive-multiplicative hazards regression models for interval-censored semi-competing risks data with missing intermediate events
by: Jinheum Kim, et al.
Published: (2019-03-01)

On the Use of Grouped Covariate Regression in Oversaturated Models
by: Loftus, Stephen Christopher
Published: (2015)

Determination of the Groundwater Data Missing Data by Regression Model And Artificial Neural Network
by: Hun-ling Cho, et al.
Published: (2008)

Missing values in covariance in the case of the randomized block
by: Shannon, Catherine
Published: (2015)

Inference for Semiparametric Time-Varying Covariate Effect Relative Risk Regression Models

Semiparametric Estimation in Proportional Odds Models with missing covariate data
by: Mei-Fang Liu, et al.
Published: (2003)

Baseline free approach for the semiparametric transformation models with missing covariates.
Published: (2003)

Multiple Imputation with Missing Covariate under Proportional Odds Model
by: 陳慶旭

Covariances for Gamma Spectrometer Efficiency Calibrations
by: Williams John G.
Published: (2016-01-01)

Regression Analysis with Incomplete Covariate
by: Chen, Yi-Hau770, et al.
Published: (1997)

Regression modeling with missing outcomes : competing risks and longitudinal data
by: Moreno Betancur, Margarita
Published: (2013)

Omnibus Tests for Comparison of Competing Risks with Covariate Effects via Additive Risk Model
by: Nguyen, Duytrac Vu
Published: (2007)

Quantile Regression under Semi-Competing Risks Data with Continuous Covariates
by: Meng-Feng Tsai, et al.
Published: (2012)

ARIMA and Multiple Linear Regression Additive Model for SO2 Monitoring Data’s Calibration
by: Yan Xu, et al.
Published: (2020-01-01)

Bilinear and Trilinear Regression Models with Structured Covariance Matrices
by: Nzabanita, Joseph
Published: (2015)

Time-Dependent Covariates in Cox Regression Model by “R”
by: Chen-HueiWeng, et al.
Published: (2013)