How and when informative visit processes can bias inference when using electronic health records data for clinical research

Analysis of longitudinal data from outcome-dependent visit processes: Failure of proposed methods in realistic settings and potential improvements

(2018) John M. Neuhaus et al.   STATISTICS IN MEDICINE

A comparison of risk prediction methods using repeated observations: an application to electronic health records for hemodialysis

(2017) Benjamin A. Goldstein et al.   STATISTICS IN MEDICINE

Controlling for Informed Presence Bias Due to the Number of Health Encounters in an Electronic Health Record

(2016) Benjamin A. Goldstein et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Biased and unbiased estimation in longitudinal studies with informative visit processes

(2016) Charles E. McCulloch et al.   BIOMETRICS

A Distribution-based Method for Assessing The Differences between Clinical Trial Target Populations and Patient Populations in Electronic Health Records

(2014) P. Ryan et al.   Applied Clinical Informatics

Geographic Health Information Systems: A Platform To Support The ‘Triple Aim’

(2013) Marie Lynn Miranda et al.   HEALTH AFFAIRS

Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research

(2013) William R. Hersh et al.   MEDICAL CARE

Prevention of diabetes and cardiovascular disease in patients with impaired glucose tolerance: Rationale and design of the Nateglinide And Valsartan in Impaired Glucose Tolerance Outcomes Research (NAVIGATOR) Trial

(2008) Robert M. Califf et al.   AMERICAN HEART JOURNAL

Observation plans in longitudinal studies with time-varying treatments

(2008) Miguel A Hernán et al.   STATISTICAL METHODS IN MEDICAL RESEARCH