A comparison of confounder selection and adjustment methods for estimating causal effects using large healthcare databases

Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods

(2019) Cheng Ju et al.   JOURNAL OF APPLIED STATISTICS

Using Super Learner Prediction Modeling to Improve High-dimensional Propensity Score Estimation

(2018) Richard Wyss et al.   EPIDEMIOLOGY

Targeted maximum likelihood estimation for a binary treatment: A tutorial

(2018) Miguel Angel Luque-Fernandez et al.   STATISTICS IN MEDICINE

Automated data-adaptive analytics for electronic healthcare data to study causal treatment effects

(2018) Sebastian Schneeweiss   Clinical Epidemiology

Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm?

(2017) Mohammad Ehsanul Karim et al.   EPIDEMIOLOGY

Scalable collaborative targeted learning for high-dimensional data

(2017) Cheng Ju et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Performance of the high-dimensional propensity score in adjusting for unmeasured confounders

(2016) Jason R Guertin et al.   EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY

Regularized Regression Versus the High-Dimensional Propensity Score for Confounding Adjustment in Secondary Database Analyses

(2015) Jessica M. Franklin et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Accounting for uncertainty in confounder and effect modifier selection when estimating average causal effects in generalized linear models

(2015) Chi Wang et al.   BIOMETRICS

Use of administrative data in healthcare research

(2015) Cristina Mazzali et al.   Internal and Emergency Medicine

On the role of marginal confounder prevalence - implications for the high-dimensional propensity score algorithm

(2015) Tibor Schuster et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

Use of administrative medical databases in population-based research: Table 1

(2013) Natalie Gavrielov-Yusim et al.   JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH

Estimation and Accuracy After Model Selection

(2013) Bradley Efron   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

High-dimensional versus conventional propensity scores in a comparative effectiveness study of coxibs and reduced upper gastrointestinal complications

(2012) E. Garbe et al.   EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY

Implementation of G-Computation on a Simulated Data Set: Demonstration of a Causal Inference Technique

(2011) Jonathan M. Snowden et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Effects of Adjusting for Instrumental Variables on Bias and Precision of Effect Estimates

(2011) Jessica A. Myers et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Invited Commentary: Understanding Bias Amplification

(2011) J. Pearl   AMERICAN JOURNAL OF EPIDEMIOLOGY

Covariate selection for the nonparametric estimation of an average treatment effect

(2011) X. De Luna et al.   BIOMETRIKA

The implications of propensity score variable selection strategies in pharmacoepidemiology: an empirical illustration

(2011) Amanda R. Patrick et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

Analysis of large databases in vascular surgery

(2010) Louis L. Nguyen et al.   JOURNAL OF VASCULAR SURGERY

Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies

(2010) Peter C. Austin   PHARMACEUTICAL STATISTICS

High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data

(2009) Sebastian Schneeweiss et al.   EPIDEMIOLOGY