Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome

Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators

(2013) B. L. Pierce et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Use of allele scores as instrumental variables for Mendelian randomization

(2013) Stephen Burgess et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

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

(2013) Stephen Burgess et al.   STATISTICS IN MEDICINE

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

Missing Data Methods in Mendelian Randomization Studies With Multiple Instruments

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

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

Avoiding bias from weak instruments in Mendelian randomization studies

(2011) Stephen Burgess et al.   INTERNATIONAL 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

Bias in causal estimates from Mendelian randomization studies with weak instruments

(2011) Stephen Burgess et al.   STATISTICS IN MEDICINE

Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants

(2010) Brandon L Pierce et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Assumptions of IV Methods for Observational Epidemiology

(2010) Vanessa Didelez et al.   STATISTICAL SCIENCE

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

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

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

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

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

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