Improving bias and coverage in instrumental variable analysis with weak instruments for continuous and binary outcomes
Published 2012 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Improving bias and coverage in instrumental variable analysis with weak instruments for continuous and binary outcomes
Authors
Keywords
-
Journal
STATISTICS IN MEDICINE
Volume 31, Issue 15, Pages 1582-1600
Publisher
Wiley
Online
2012-02-29
DOI
10.1002/sim.4498
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
- Bayesian methods for instrumental variable analysis with genetic instruments (‘Mendelian randomization’): example with urate transporter SLC2A9 as an instrumental variable for effect of urate levels on metabolic syndrome
- (2010) Paul M McKeigue et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Robust confidence sets in the presence of weak instruments
- (2010) Anna Mikusheva JOURNAL OF ECONOMETRICS
- 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
- Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables
- (2010) Stephen Burgess et al. STATISTICS IN MEDICINE
- Mendelian randomization analysis of case-control data using structural mean models
- (2010) Jack Bowden et al. STATISTICS IN MEDICINE
- Combining MCMC with ‘sequential’ PKPD modelling
- (2009) David Lunn et al. JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS
- Instrumental Variable Analysis for Estimation of Treatment Effects With Dichotomous Outcomes
- (2008) J. A. Rassen et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Estimating effects from randomized trials with discontinuations: the need for intent-to-treat design and G-estimation
- (2008) Sander Greenland et al. Clinical Trials
- Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses
- (2008) Tom M Palmer et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- 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’ equals instrumental variable analysis with genetic instruments
- (2008) George L. Wehby et al. STATISTICS IN 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
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started