<--- Back to Details
First PageDocument Content
Regression analysis / Econometrics / Statistical methods / Statistical models / Senescence / Survival analysis / Covariate / Least squares / Errors and residuals / Proportional hazards model / Propensity score matching
Date: 2016-08-17 18:18:26
Regression analysis
Econometrics
Statistical methods
Statistical models
Senescence
Survival analysis
Covariate
Least squares
Errors and residuals
Proportional hazards model
Propensity score matching

RISK EVALUATION AFTER HEART VALVE REPLACEMENT BY SAS PROC PHREG Chao L. Chen and Lynn Wang Deborah Heart and Lung Center, Browns Mills, NJSUMMARY Identification of long-term risk factors after heart valve replacem

Add to Reading List

Source URL: www.ats.ucla.edu

Download Document from Source Website

File Size: 55,72 KB

Share Document on Facebook

Similar Documents

Neurocomputing, vol.80, pp, Importance-Weighted Least-Squares Probabilistic Classifier for Covariate Shift Adaptation with

Neurocomputing, vol.80, pp, Importance-Weighted Least-Squares Probabilistic Classifier for Covariate Shift Adaptation with

DocID: 1vnb3 - View Document

Flexible Covariate Adjustments in Randomized Experiments Christoph Rothe Abstract: Linear regression adjustments for pre-treatment covariates are widely used in economics to lower the variance of treatment effect estimat

Flexible Covariate Adjustments in Randomized Experiments Christoph Rothe Abstract: Linear regression adjustments for pre-treatment covariates are widely used in economics to lower the variance of treatment effect estimat

DocID: 1uYMC - View Document

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Google Inc.,   Christian Szegedy

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Google Inc., Christian Szegedy

DocID: 1uzBx - View Document

Robust Confidence Intervals for Average Treatment Effects under Limited Overlap Christoph Rothe∗ Abstract Limited overlap between the covariate distributions of groups with different treatment assignments does not only

Robust Confidence Intervals for Average Treatment Effects under Limited Overlap Christoph Rothe∗ Abstract Limited overlap between the covariate distributions of groups with different treatment assignments does not only

DocID: 1upXl - View Document

Simulation-Based Density Estimation for Time Series using Covariate Data∗ Yin Liaoa and John Stachurskib a School  of Economics and Finance, Queensland University of Technology

Simulation-Based Density Estimation for Time Series using Covariate Data∗ Yin Liaoa and John Stachurskib a School of Economics and Finance, Queensland University of Technology

DocID: 1qUbu - View Document