Scalable estimation for high velocity survival data able to accommodate addition of covariates

Cites Work

Empirical likelihood and general estimating equations
Coordinate descent algorithms
A split-and-conquer approach for analysis of
α-Investing: a Procedure for Sequential Control of Expected False Discoveries
On the relative efficiency of using summary statistics versus individual-level data in meta-analysis
Miscellanea. Combining parametric and empirical likelihoods
Using empirical likelihood methods to obtain range restricted weights in regression estimators for surveys
Empirical likelihood estimation for finite populations and the effective usage of auxiliary information
Estimating equations, empirical likelihood and constraints on parameters
Online updating method with new variables for big data streams
Online Updating of Survival Analysis
Renewable Estimation and Incremental Inference in Generalized Linear Models with Streaming Data Sets
Generalized integration model for improved statistical inference by leveraging external summary data
An online updating approach for testing the proportional hazards assumption with streams of survival data
Empirical Likelihood Estimation Using Auxiliary Summary Information with Different Covariate Distributions
Communication-Efficient Distributed Statistical Inference
Using covariate-specific disease prevalence information to increase the power of case-control studies
Multivariate Meta-Analysis of Heterogeneous Studies Using Only Summary Statistics: Efficiency and Robustness
Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators
Generalized meta-analysis for multiple regression models across studies with disparate covariate information

This page was built for publication: Scalable estimation for high velocity survival data able to accommodate addition of covariates