Instrumental Variable Estimation of Causal Risk Ratios and Causal Odds Ratios in Mendelian Randomization Analyses

Identification of causal effects on binary outcomes using structural mean models

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Crystal structure of the FTO protein reveals basis for its substrate specificity

(2010) Zhifu Han et al.   NATURE

Assumptions of IV Methods for Observational Epidemiology

(2010) Vanessa Didelez et al.   STATISTICAL SCIENCE

Mendelian randomization analysis of case-control data using structural mean models

(2010) Jack Bowden et al.   STATISTICS IN MEDICINE

Instrumental Variable Analysis for Estimation of Treatment Effects With Dichotomous Outcomes

(2008) J. A. Rassen et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses

(2008) Tom M Palmer et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Mendelian Randomisation and Causal Inference in Observational Epidemiology

(2008) Nuala A Sheehan et al.   PLOS MEDICINE

Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling

(2007) Joseph V. Terza et al.   JOURNAL OF HEALTH ECONOMICS

Use of instrumental variables in the analysis of generalized linear models in the presence of unmeasured confounding with applications to epidemiological research

(2007) K. M. Johnston et al.   STATISTICS IN MEDICINE

Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology

(2007) Debbie A. Lawlor et al.   STATISTICS IN MEDICINE