Showing results (21-30 of 382) with videos related to
Sort By:
Pageof 39
Statistics in Medicine|July 7, 2020
Multinomial logistic regression with missing outcome data: An application to cancer subtypesChing-Yun Wang, Li HsuBiometrics|June 20, 2020
Semiparametric regression calibration for general hazard models in survival analysis with covariate measurement error; surprising performance under linear hazardChing-Yun Wang, Xiao SongBiometrical Journal. Biometrische Zeitschrift|August 23, 2016
Robust best linear estimator for Cox regression with instrumental variables in whole cohort and surrogates with additive measurement error in calibration sampleChing-Yun Wang, Xiao SongStatistics in Medicine|October 7, 2025
A Corrected Score Approach for Proportional Hazards Model With Error-Contaminated Covariates Subject to Detection LimitsXiao Song, Ching-Yun WangBiostatistics (Oxford, England)|November 27, 2012
Expected estimating equations via EM for proportional hazards regression with covariate misclassificationChing-Yun Wang, Xiao SongScandinavian Journal of Statistics, Theory and Applications|September 28, 2020
GMM nonparametric correction methods for logistic regression with error contaminated covariates and partially observed instrumental variablesXiao Song, Ching-Yun WangElectronic Journal of Statistics|May 29, 2012
Structured penalties for functional linear models-partially empirical eigenvectors for regressionTimothy W Randolph, Jaroslaw Harezlak, Ziding FengThe Annals of Applied Statistics|November 9, 2013
LOGISTIC REGRESSION ANALYSIS WITH STANDARDIZED MARKERSYing Huang, Margaret S Pepe, Ziding FengBiometrics|February 5, 2016
Unbiased estimation of biomarker panel performance when combining training and testing data in a group sequential designNabihah Tayob, Kim-Anh Do, Ziding FengStatistics in Medicine|February 24, 2022
A multivariate parametric empirical Bayes screening approach for early detection of hepatocellular carcinoma using multiple longitudinal biomarkersNabihah Tayob, Anna S F Lok, Ziding FengPageof 39