Five analytic challenges in working with electronic health records data to support clinical trials with some solutions

DIFFERENCES IN ACHIEVING A1C GOALS AMONG PATIENTS SEEN BY ENDOCRINOLOGISTS AND PRIMARY CARE PROVIDERS

(2019) Tracy L Setji et al.   Endocrine Practice

A review of the impact of utilising electronic medical records for clinical research recruitment

(2019) Yan See Lai et al.   Clinical Trials

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

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A plea to stop using the case‐control design in retrospective database studies

(2019) Martijn J. Schuemie et al.   STATISTICS IN MEDICINE

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

Inflation of type I error rates due to differential misclassification in EHR-derived outcomes: Empirical illustration using breast cancer recurrence

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

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

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Using Electronic Health Records for Population Health Research: A Review of Methods and Applications

(2016) Joan A. Casey et al.   Annual Review of Public Health

Biased and unbiased estimation in longitudinal studies with informative visit processes

(2016) Charles E. McCulloch et al.   BIOMETRICS

Common data elements for secondary use of electronic health record data for clinical trial execution and serious adverse event reporting

(2016) Philipp Bruland et al.   BMC Medical Research Methodology

Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review

(2016) Benjamin A Goldstein et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

The use of repeated blood pressure measures for cardiovascular risk prediction: a comparison of statistical models in the ARIC study

(2016) Michael J. Sweeting et al.   STATISTICS IN MEDICINE

Quantifying the impact of different approaches for handling continuous predictors on the performance of a prognostic model

(2016) Gary S. Collins et al.   STATISTICS IN MEDICINE

The ADAPTABLE Trial and Aspirin Dosing in Secondary Prevention for Patients with Coronary Artery Disease

(2016) Abigail Johnston et al.   Current Cardiology Reports

Detecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records

(2015) Benjamin A. Goldstein et al.   BIOMETRICS

Problem list completeness in electronic health records: A multi-site study and assessment of success factors

(2015) Adam Wright et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Optimizing Clinical Research Participant Selection with Informatics

(2015) Chunhua Weng   TRENDS IN PHARMACOLOGICAL SCIENCES

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

Evaluation of data completeness in the electronic health record for the purpose of patient recruitment into clinical trials: a retrospective analysis of element presence

(2013) Felix Köpcke et al.   BMC Medical Informatics and Decision Making

A comparison of phenotype definitions for diabetes mellitus

(2013) Rachel L Richesson et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Randomized trial of automated, electronic monitoring to facilitate early detection of sepsis in the intensive care unit*

(2012) Michael H. Hooper et al.   CRITICAL CARE MEDICINE

A pragmatic–explanatory continuum indicator summary (PRECIS): a tool to help trial designers

(2009) Kevin E. Thorpe et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY