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

scientific article published on 4 February 2015

Detecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1111/BIOM.12283
P932PMC publication ID4479980
P698PubMed publication ID25652566
P5875ResearchGate publication ID263773658
P894zbMATH Open document ID1390.62260

P50authorTrevor HastieQ7839206
Themistocles L AssimesQ37629441
Wolfgang WinkelmayerQ89531312
P2093author name stringBenjamin A Goldstein
P2860cites workLongitudinal scalar-on-functions regression with application to tractography dataQ30584750
Prediction modeling using EHR data: challenges, strategies, and a comparison of machine learning approachesQ33579006
Identifying patients at high risk of a cardiovascular event in the near future: current status and future directions: report of a national heart, lung, and blood institute working groupQ34002717
Positive predictive value of the diagnosis of acute myocardial infarction in an administrative databaseQ34750439
Role of platelets in coronary thrombosis and reperfusion of ischemic myocardiumQ35666909
Evaluating prognostic accuracy of biomarkers in nested case-control studiesQ35747080
Risk of cancer in patients exposed to gabapentin in two electronic medical record systemsQ35858974
Longitudinal Penalized Functional Regression for Cognitive Outcomes on Neuronal Tract MeasurementsQ36005796
The white blood cell count and risk for coronary heart diseaseQ36255752
From differences in means between cases and controls to risk stratification: a business plan for biomarker developmentQ36605407
Near-term prediction of sudden cardiac death in older hemodialysis patients using electronic health recordsQ37426950
More on "Biased selection of controls for case-control analyses of cohort studies".Q41351321
Relationship between baseline haemoglobin and major bleeding complications in acute coronary syndromesQ43262262
Acute myocardial infarction in patients with end-stage renal diseaseQ43829441
Analysis of case-cohort designsQ44143102
Serum albumin and risk of myocardial infarction and all-cause mortality in the Framingham Offspring Study.Q44235639
Selection of controls in case-control studies. III. Design optionsQ52861903
Biased Selection of Controls for Case-Control Analyses of Cohort StudiesQ52873601
Functional Data Analysis for Sparse Longitudinal DataQ56689322
The leukocyte count as a predictor of myocardial infarctionQ69762702
The use and misuse of serum albumin as a nutritional marker in kidney diseaseQ84824438
P4510describes a project that useselectronic health recordsQ10871684
P433issue2
P407language of work or nameEnglishQ1860
P921main subjectelectronic health recordsQ10871684
biomarkerQ864574
P6104maintained by WikiProjectWikiProject MathematicsQ8487137
P304page(s)478-486
P577publication date2015-02-04
P1433published inBiometricsQ2025724
P1476titleDetecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records
P478volume71

Reverse relations

cites work (P2860)
Q36578208Classifying individuals based on a densely captured sequence of vital signs: An example using repeated blood pressure measurements during hemodialysis treatment
Q92902172Development, Implementation, and Evaluation of an In-Hospital Optimized Early Warning Score for Patient Deterioration
Q28394785Trajectories of Metabolic Risk Factors and Biochemical Markers prior to the Onset of Cardiovascular Disease - The Doetinchem Cohort Study
Q33920095Trajectories of metabolic risk factors and biochemical markers prior to the onset of type 2 diabetes: the population-based longitudinal Doetinchem study