Identifying the odds ratio estimated by a two-stage instrumental variable analysis with a logistic regression model

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

(2012) Roger M. Harbord et al.   STATISTICS IN MEDICINE

Use of Mendelian randomisation to assess potential benefit of clinical intervention

(2012) S. Burgess et al.   BMJ-British Medical Journal

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

Two-stage instrumental variable methods for estimating the causal odds ratio: Analysis of bias

(2011) Bing Cai et al.   STATISTICS IN MEDICINE

Use of genetic markers and gene-diet interactions for interrogating population-level causal influences of diet on health

(2010) George Davey Smith   Genes and Nutrition

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

Estimators and confidence intervals for the marginal odds ratio using logistic regression and propensity score stratification

(2010) Susanne Stampf et al.   STATISTICS IN MEDICINE

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

(2010) Jack Bowden et al.   STATISTICS IN MEDICINE

Usefulness of Mendelian Randomization in Observational Epidemiology

(2010) Murielle Bochud et al.   International Journal of Environmental Research and Public Health

Mendelian Randomization: How It Can--and Cannot--Help Confirm Causal Relations between Nutrition and Cancer

(2009) A. Schatzkin et al.   Cancer Prevention Research

C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis

(2009)   LANCET

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

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

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

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

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