G-computation, propensity score-based methods, and targeted maximum likelihood estimator for causal inference with different covariates sets: a comparative simulation study

Using simulation studies to evaluate statistical methods

(2019) Tim P. Morris et al.   STATISTICS IN MEDICINE

Use of Propensity Score Methodology in Contemporary High-Impact Surgical Literature

(2019) Elysia Grose et al.   JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS

Variable selection - A review and recommendations for the practicing statistician

(2018) Georg Heinze et al.   BIOMETRICAL JOURNAL

Stacked generalization: an introduction to super learning

(2018) Ashley I. Naimi et al.   EUROPEAN JOURNAL OF EPIDEMIOLOGY

Targeted maximum likelihood estimation for a binary treatment: A tutorial

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

Covariate selection strategies for causal inference: Classification and comparison

(2018) Janine Witte et al.   BIOMETRICAL JOURNAL

Inverse probability weighting to control confounding in an illness-death model for interval-censored data

(2017) Florence Gillaizeau et al.   STATISTICS IN MEDICINE

Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies

(2016) Megan S. Schuler et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

On the use of propensity scores in case of rare exposure

(2016) David Hajage et al.   BMC Medical Research Methodology

Variable Selection for Confounder Control, Flexible Modeling and Collaborative Targeted Minimum Loss-Based Estimation in Causal Inference

(2016) Mireille E. Schnitzer et al.  

Comparative efficacy of fingolimod vs natalizumab

(2016) Laetitia Barbin et al.   NEUROLOGY

The Balance Super Learner: A robust adaptation of the Super Learner to improve estimation of the average treatment effect in the treated based on propensity score matching

(2016) Romain Pirracchio et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Variable Selection for Confounder Control, Flexible Modeling and Collaborative Targeted Minimum Loss-Based Estimation in Causal Inference

(2016) Mireille E. Schnitzer et al.   International Journal of Biostatistics

Optimizing matching and analysis combinations for estimating causal effects

(2016) K. Ellicott Colson et al.   Scientific Reports

Switch to natalizumab versus fingolimod in active relapsing-remitting multiple sclerosis

(2015) Tomas Kalincik et al.   ANNALS OF NEUROLOGY

The Propensity Score

(2015) Jason S. Haukoos et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review

(2015) M. Sanni Ali et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Does Cox analysis of a randomized survival study yield a causal treatment effect?

(2015) Odd O. Aalen et al.   LIFETIME DATA ANALYSIS

Estimating the effect of treatment on binary outcomes using full matching on the propensity score

(2015) Peter C Austin et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the effect of treatment on survival outcomes

(2015) Peter C Austin et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Comparisons of the performance of different statistical tests for time-to-event analysis with confounding factors: practical illustrations in kidney transplantation

(2015) Florent Le Borgne et al.   STATISTICS IN MEDICINE

MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

(2015) Daniel E. Ho et al.   Journal of Statistical Software

Targeted maximum likelihood estimation in safety analysis

(2013) Samuel D. Lendle et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Variance reduction in randomised trials by inverse probability weighting using the propensity score

(2013) Elizabeth J. Williamson et al.   STATISTICS IN MEDICINE

The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments

(2013) Peter C. Austin   STATISTICS IN MEDICINE

Barbiturates Use and Its Effects in Patients with Severe Traumatic Brain Injury in Five European Countries

(2012) Marek Majdan et al.   JOURNAL OF NEUROTRAUMA

Propensity score applied to survival data analysis through proportional hazards models: a Monte Carlo study

(2012) Etienne Gayat et al.   PHARMACEUTICAL STATISTICS

Causal inference in epidemiological studies with strong confounding

(2012) Kelly L. Moore et al.   STATISTICS IN MEDICINE

Invited Commentary: G-Computation-Lost in Translation?

(2011) S. Vansteelandt et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

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

A New Criterion for Confounder Selection

(2011) Tyler J. VanderWeele et al.   BIOMETRICS

Covariate selection for the nonparametric estimation of an average treatment effect

(2011) X. De Luna et al.   BIOMETRIKA

The Relative Performance of Targeted Maximum Likelihood Estimators

(2011) Kristin E. Porter et al.  

An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

(2011) Peter C. Austin   MULTIVARIATE BEHAVIORAL RESEARCH

Propensity scores: From naïve enthusiasm to intuitive understanding

(2011) Elizabeth Williamson et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

A note on overadjustment in inverse probability weighted estimation

(2010) A. Rotnitzky et al.   BIOMETRIKA

Propensity scores in intensive care and anaesthesiology literature: a systematic review

(2010) Etienne Gayat et al.   INTENSIVE CARE MEDICINE

The performance of different propensity-score methods for estimating differences in proportions (risk differences or absolute risk reductions) in observational studies

(2010) Peter C. Austin   STATISTICS IN MEDICINE

Overadjustment Bias and Unnecessary Adjustment in Epidemiologic Studies

(2009) Enrique F. Schisterman et al.   EPIDEMIOLOGY

What kind of randomized trials do we need?

(2009) Merrick Zwarenstein et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Use of Stabilized Inverse Propensity Scores as Weights to Directly Estimate Relative Risk and Its Confidence Intervals

(2009) Stanley Xu et al.   VALUE IN HEALTH

Impact of mis‐specification of the treatment model on estimates from a marginal structural model

(2008) Geneviève Lefebvre et al.   STATISTICS IN MEDICINE