Latent class instrumental variables: a clinical and biostatistical perspective
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Latent class instrumental variables: a clinical and biostatistical perspective
Authors
Keywords
-
Journal
STATISTICS IN MEDICINE
Volume 35, Issue 1, Pages 147-160
Publisher
Wiley
Online
2015-08-04
DOI
10.1002/sim.6612
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Potential Bias of Instrumental Variable Analyses for Observational Comparative Effectiveness Research
- (2014) Laura Faden Garabedian et al. ANNALS OF INTERNAL MEDICINE
- Instrumental Variable Analyses for Observational Comparative Effectiveness Research: The Paired Availability Design
- (2014) Stuart G. Baker et al. ANNALS OF INTERNAL MEDICINE
- Anesthesia Technique, Mortality, and Length of Stay After Hip Fracture Surgery
- (2014) Mark D. Neuman et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- The Randomized Registry Trial
- (2014) Stuart G. Baker et al. NEW ENGLAND JOURNAL OF MEDICINE
- Think Globally, Act Globally: An Epidemiologist’s Perspective on Instrumental Variable Estimation
- (2014) Sonja A. Swanson et al. STATISTICAL SCIENCE
- Instrumental Variables: An Econometrician’s Perspective
- (2014) Guido W. Imbens STATISTICAL SCIENCE
- Instrumental variable methods for causal inference
- (2014) Michael Baiocchi et al. STATISTICS IN MEDICINE
- Beyond intention to treat: What is the right question?
- (2013) Ian Shrier et al. Clinical Trials
- Causal inference, probability theory, and graphical insights
- (2013) Stuart G. Baker STATISTICS IN MEDICINE
- A Bayesian Approach to Improved Estimation of Causal Effect Predictiveness for a Principal Surrogate Endpoint
- (2012) Corwin M. Zigler et al. BIOMETRICS
- The risky reliance on small surrogate end point studies when planning a large prevention trial
- (2012) Stuart G. Baker et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
- Predicting Treatment Effect from Surrogate Endpoints and Historical Trials: An Extrapolation Involving Probabilities of a Binary Outcome or Survival to a Specific Time
- (2011) Stuart G. Baker et al. BIOMETRICS
- Inference for the Effect of Treatment on Survival Probability in Randomized Trials with Noncompliance and Administrative Censoring
- (2011) Hui Nie et al. BIOMETRICS
- Clarifying the Role of Principal Stratification in the Paired Availability Design
- (2011) Stuart G Baker et al.
- Estimation and Inference for the Causal Effect of Receiving Treatment on a Multinomial Outcome: An Alternative Approach
- (2010) Stuart G. Baker BIOMETRICS
- A Bayesian Approach to Surrogacy Assessment Using Principal Stratification in Clinical Trials
- (2009) Yun Li et al. BIOMETRICS
- Improving the Biomarker Pipeline to Develop and Evaluate Cancer Screening Tests
- (2009) Stuart G. Baker JNCI-Journal of the National Cancer Institute
- Estimation and Inference for the Causal Effect of Receiving Treatment on a Multinomial Outcome
- (2008) Jing Cheng BIOMETRICS
- Evaluating Candidate Principal Surrogate Endpoints
- (2008) Peter B. Gilbert et al. BIOMETRICS
- Principal Stratification for Causal Inference With Extended Partial Compliance
- (2008) Hui Jin et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started