Ignorability for general longitudinal data

Biometrika

Discussion on 'Causal inference by using invariant prediction: identification and confidence intervals' by Peters, Bühlmann, Meinshausen

Journal of the Royal Statistical Society: Series B (Statistical Methodology)

Inequalities on partial correlations in Gaussian graphical models containing star shapes

Communications in Statistics - Theory and Methods

Commentary: Should the analysis of observational data always be preceded by specifying a target experimental trial?

International journal of epidemiology

Causal reasoning for events in continuous time: a decision-theoretic approach

Proceedings of the UAI 2015 Conference on Advances in Causal Inference-Volume 1504

Recovering from selection bias using marginal structure in discrete models

Proceedings of the 31st Annual Conference on Uncertainty in Artificial Intelligence - Workshop on Advances in Causal Inference

Editorial

Statistics in Biosciences

Lack of identification in semiparametric instrumental variable models with binary outcomes

American journal of epidemiology

Comparison of statistical methods for finding network motifs

Statistical applications in genetics and molecular biology

Basic Concepts of Causal Mediation Analysis and Some Extensions

Talk at Symposium on Causal Mediation Analysis, Ghent

Discussion of 'Experimental Designs for Identifying Causal Mechanisms' by Imai, Tingley, Yamamoto

Severity of bias of a simple estimator of the causal odds ratio in Mendelian randomization studies

Statistics in medicine

Assessing Dynamic Treatment Strategies

Causality

Re: "credible mendelian randomization studies: approaches for evaluating the instrumental variable assumptions"

American journal of epidemiology

"Imagine a can opener"--the magic of principal stratum analysis

The international journal of biostatistics

Simulating from marginal structural models with time-dependent confounding

Statistics in medicine

Causal reasoning in graphical time series models

UAI 2007, Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence, Vancouver, BC, Canada, July 19-22, 2007

On the choice of parameterisation and priors for the Bayesian analyses of Mendelian randomisation studies

Statistics in medicine

G-estimation for Accelerated Failure Time Models

Modern Methods for Epidemiology

Nonparametric bounds for the causal effect in a binary instrumental-variable model

The Stata Journal

Mendelian randomisation: a tool for assessing causality in observational epidemiology

Methods in molecular biology (Clifton, N.J.)

Nonparametric bounds for the causal effect in a binary instrumental-variable model

Stata Journal

Commentary: Can 'many weak' instruments ever be 'strong'?

International journal of epidemiology

Instrumental variable estimation of causal risk ratios and causal odds ratios in Mendelian randomization analyses

American journal of epidemiology

Assumptions of IV Methods for Observational Epidemiology

Statistical Science