An Online Updating Approach for Testing the Proportional Hazards Assumption with Streams of Big Survival Data.
暂无分享,去创建一个
HaiYing Wang | Jun Yan | Yishu Xue | Elizabeth D. Schifano | E. Schifano | Jun Yan | Yishu Xue | Haiying Wang | Yishu Xue | HaiYing Wang
[1] N. Nagelkerke,et al. A simple test for goodness-of-fit of Cox''s proportional hazards model Biometrics 40 , 1984 .
[2] Ping Ma,et al. A statistical perspective on algorithmic leveraging , 2013, J. Mach. Learn. Res..
[3] Chi-Hyuck Jun,et al. A New Control Scheme Always Better Than X-Bar Chart , 2010 .
[4] Geoffrey I. Webb,et al. A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests , 2016, KDD.
[5] Yan Wang,et al. A fast divide-and-conquer sparse Cox regression. , 2018, Biostatistics.
[6] P. Grambsch,et al. Proportional hazards tests and diagnostics based on weighted residuals , 1994 .
[7] A. Dreher. Modeling Survival Data Extending The Cox Model , 2016 .
[8] Danyu Lin,et al. Goodness-of-Fit Analysis for the Cox Regression Model Based on a Class of Parameter Estimators , 1991 .
[9] Shuangge Ma,et al. PENALIZED VARIABLE SELECTION PROCEDURE FOR COX MODELS WITH SEMIPARAMETRIC RELATIVE RISK. , 2010, Annals of statistics.
[10] Ming-Hui Chen,et al. Online updating method with new variables for big data streams , 2018, The Canadian journal of statistics = Revue canadienne de statistique.
[11] Hui Zou,et al. A note on path-based variable selection in the penalized proportional hazards model , 2008 .
[12] D. Schoenfeld,et al. Sample-size formula for the proportional-hazards regression model. , 1983, Biometrics.
[13] J. Manyika. Big data: The next frontier for innovation, competition, and productivity , 2011 .
[14] Rong Zhu,et al. Optimal Subsampling for Large Sample Logistic Regression , 2017, Journal of the American Statistical Association.
[15] Ruibin Xi,et al. Aggregated estimating equation estimation , 2011 .
[16] Jianqing Fan,et al. Variable Selection for Cox's proportional Hazards Model and Frailty Model , 2002 .
[17] Adel Javanmard,et al. Online Rules for Control of False Discovery Rate and False Discovery Exceedance , 2016, ArXiv.
[18] F. Liang,et al. A split‐and‐merge Bayesian variable selection approach for ultrahigh dimensional regression , 2015 .
[19] Jing Wu,et al. Online Updating of Statistical Inference in the Big Data Setting , 2015, Technometrics.
[20] Stephen Weston,et al. Scalable Strategies for Computing with Massive Data , 2013 .
[21] B. Efron. The Efficiency of Cox's Likelihood Function for Censored Data , 1977 .
[22] David A. Schoenfeld,et al. Chi-squared goodness-of-fit tests for the proportional hazards regression model , 1980 .
[23] P. Grambsch,et al. A Package for Survival Analysis in S , 1994 .
[24] Ming-Hui Chen,et al. Statistical methods and computing for big data. , 2015, Statistics and its interface.
[25] R. Gill,et al. Cox's regression model for counting processes: a large sample study : (preprint) , 1982 .
[26] Yishu Xue,et al. Diagnostics for the Cox model , 2017 .
[27] Chi-Hyuck Jun,et al. A Process Monitoring Scheme Controlling False Discovery Rate , 2012 .
[28] D.,et al. Regression Models and Life-Tables , 2022 .
[29] R. Prentice,et al. Commentary on Andersen and Gill's "Cox's Regression Model for Counting Processes: A Large Sample Study" , 1982 .
[30] Katharina Burger,et al. Counting Processes And Survival Analysis , 2016 .
[31] M. Kosorok. Introduction to Empirical Processes and Semiparametric Inference , 2008 .
[32] R. Gill,et al. A simple test of the proportional hazards assumption , 1987 .
[33] David Madigan,et al. High-dimensional, massive sample-size Cox proportional hazards regression for survival analysis. , 2014, Biostatistics.
[34] Jianqing Fan,et al. DISTRIBUTED TESTING AND ESTIMATION UNDER SPARSE HIGH DIMENSIONAL MODELS. , 2018, Annals of statistics.
[35] Ing Rj Ser. Approximation Theorems of Mathematical Statistics , 1980 .