Instrumental Variable Estimators for Binary Outcomes

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

(2011) T. M. Palmer et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

On Instrumental Variables Estimation of Causal Odds Ratios

(2011) Stijn Vansteelandt et al.   STATISTICAL SCIENCE

Identification of causal effects on binary outcomes using structural mean models

(2010) P. S. Clarke et al.   BIOSTATISTICS

Instrumental Variable Models for Discrete Outcomes

(2010)   ECONOMETRICA

Marginal and Nested Structural Models Using Instrumental Variables

(2010) Zhiqiang Tan   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

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

Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity

(2009)   ECONOMETRICA

Instrumental Variable Analysis for Estimation of Treatment Effects With Dichotomous Outcomes

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

For objective causal inference, design trumps analysis

(2008) Donald B. Rubin   Annals of Applied Statistics

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

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

Regression discontinuity designs: A guide to practice

(2007) Guido W. Imbens et al.   JOURNAL OF ECONOMETRICS

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