Missing Data Methods in Mendelian Randomization Studies With Multiple Instruments

Avoiding bias from weak instruments in Mendelian randomization studies

(2011) Stephen Burgess et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

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

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

Mendelian randomization: use of genetics to enable causal inference in observational studies

(2010) M. Verduijn et al.   NEPHROLOGY DIALYSIS TRANSPLANTATION

Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables

(2010) Stephen Burgess et al.   STATISTICS IN MEDICINE

Missing call bias in high-throughput genotyping

(2009) Wenqing Fu et al.   BMC GENOMICS

Combining MCMC with ‘sequential’ PKPD modelling

(2009) David Lunn et al.   JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS

Collaborative pooled analysis of data on C-reactive protein gene variants and coronary disease: judging causality by Mendelian randomisation

(2008)   EUROPEAN 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

Genetically Elevated C-Reactive Protein and Ischemic Vascular Disease

(2008) Jeppe Zacho et al.   NEW ENGLAND JOURNAL OF MEDICINE

The Association of C-Reactive Protein and CRP Genotype with Coronary Heart Disease: Findings from Five Studies with 4,610 Cases amongst 18,637 Participants

(2008) Debbie A. Lawlor et al.   PLoS One

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

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