Using multiple data features improved the validity of osteoporosis case ascertainment from administrative databases.

No abstract is available for this paper.

• Publication year

  2008

• Venue

  Journal of Clinical Epidemiology

• Publication date

  2008-12-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1016/j.jclinepi.2008.02.002PMID 18619800
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Statistical Learning Theory

  2021cited by this paper
• Robustness of Prevalence Estimates Derived from Misclassified Data from Administrative Databases

  2007cited by this paper
• Developments of the incidence of osteoporosis in The Netherlands: a PHARMO study

  2007cited by this paper
• Accuracy of administrative databases in identifying patients with hypertension

  2007cited by this paper
• Report on the Japanese Orthopaedic Association’s 3-year project observing hip fractures at fixed-point hospitals

  2006cited by this paper
• The interaction of ethnicity and chronic disease as risk factors for osteoporotic fractures: a comparison in Canadian Aboriginals and non-Aboriginals

  2006cited by this paper
• Application of the 1994 WHO classification to populations other than postmenopausal Caucasian women: the 2005 ISCD Official Positions.

  2006cited by this paper
• Estimated prevalence of osteoporosis from a Nationwide Health Insurance database in Taiwan.

  2006cited by this paper
• Feature selection and machine learning with mass spectrometry data for distinguishing cancer and non-cancer samples

  2006cited by this paper
• Comparing the predictive value of neural network models to logistic regression models on the risk of death for small-cell lung cancer patients.

  2006cited by this paper
• A population-based study of osteoporosis testing and treatment following introduction of a new bone densitometry service

  2005cited by this paper
• Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors

  2005cited by this paper
• Artificial neural network models for prediction of acute coronary syndromes using clinical data from the time of presentation.

  2005cited by this paper
• Construction and validation of a population-based bone densitometry database.

  2005cited by this paper
• Repeated split sample validation to assess logistic regression and recursive partitioning: an application to the prediction of cognitive impairment

  2005cited by this paper
• Epidemiology and direct medical costs of osteoporotic fractures in men and women in Switzerland

  2005cited by this paper
• Using pharmacy data to identify those with chronic conditions in Emilia Romagna, Italy

  2005cited by this paper
• Osteoporosis is markedly underdiagnosed: a nationwide study from Denmark

  2005cited by this paper
• A Meta‐Analysis of Prior Corticosteroid Use and Fracture Risk

  2004cited by this paper
• Review of the performance of methods to identify diabetes cases among vital statistics, administrative, and survey data.

  2004cited by this paper
• Specificity and sensitivity of claims-based algorithms for identifying members of Medicare+Choice health plans that have chronic medical conditions.

  2004cited by this paper
• Determination of Grade and Receptor Status from the Primary Breast Lesion by Magnetic Resonance Spectroscopy

  2004cited by this paper
• Validation of diagnostic codes within medical services claims.

  2004cited by this paper
• Family physician workloads and access to care in Winnipeg: 1991 to 2001

  2004cited by this paper
• Methodology for estimating current and future burden of osteoporosis in state populations: application to Florida in 2000 through 2025.

  2003cited by this paper
• Tumour grading from magnetic resonance spectroscopy: a comparison of feature extraction with variable selection

  2003cited by this paper
• BMD at Multiple Sites and Risk of Fracture of Multiple Types: Long‐Term Results From the Study of Osteoporotic Fractures

  2003cited by this paper
• External validity of predictive models: a comparison of logistic regression, classification trees, and neural networks.

  2003cited by this paper
• Classification and regression tree analysis in public health: Methodological review and comparison with logistic regression

  2003cited by this paper
• Assessing population health care need using a claims-based ACG morbidity measure: a validation analysis in the Province of Manitoba.

  2002cited by this paper
• Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm.

  2002cited by this paper
• Conference on Prognostic Factors and Staging in Cancer Management: Contributions of Artificial Neural Networks and Other Statistical Methods

  2001cited by this paper
• Using a neural network to screen a population for asthma.

  2001cited by this paper
• Classification of Osteoporosis Based on Bone Mineral Densities

  2001cited by this paper
• Prognostic Modeling with Logistic Regression Analysis

  2001cited by this paper
• Estimation of the Prevalence of Low Bone Density in Canadian Women and Men Using a Population-Specific DXA Reference Standard: The Canadian Multicentre Osteoporosis Study (CaMos)

  2000cited by this paper
• Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets.

  2000cited by this paper
• Patterns of use of the bone mineral density test in Ontario, 1992-1998.

  2000cited by this paper
• Epidemiology of Crohn's disease and ulcerative colitis in a central Canadian province: a population-based study.

  1999cited by this paper
• Assessing ecologic proxies for household income: a comparison of household and neighbourhood level income measures in the study of population health status.

  1999cited by this paper
• Age- and Gender-Specific Rate of Fractures in Australia: A Population-Based Study

  1999cited by this paper
• A comparison of statistical learning methods on the Gusto database.

  1998cited by this paper
• Validation of Claims Diagnoses and Self‐Reported Conditions Compared with Medical Records for Selected Chronic Diseases

  1998cited by this paper
• Classification and staging of dementia of the Alzheimer type: a comparison between neural networks and linear discriminant analysis.

  1997cited by this paper
• Artificial neural networks improve the accuracy of cancer survival prediction

  1997cited by this paper
• Estimating the burden of disease. Comparing administrative data and self-reports.

  1997cited by this paper
• Incidence and Prevalence of Diabetes in Manitoba, 1986–1991

  1996cited by this paper
• Costs and health effects of osteoporotic fractures.

  1994cited by this paper
• Assessing predictive accuracy: how to compare Brier scores.

  1991cited by this paper
• Probabilistic prediction in patient management and clinical trials.

  1986cited by this paper
• A new look at the statistical model identification

  1974cited by this paper

• Building and validating trend-based multiple sclerosis case definitions: a population-based cohort study for Manitoba, Canada

  2024cites this paper
• Ascertaining the Francophone population in Ontario: validating the language variable in health data

  2024cites this paper
• Estimating the completeness of physician billing claims for diabetes case ascertainment: a multiprovince investigation.

  2023cites this paper
• Fracture definitions in observational osteoporosis drug effects studies that leverage healthcare administrative (claims) data: a scoping review

  2022cites this paper
• Postdischarge prophylactic antibiotics following mastectomy with and without breast reconstruction

  2021cites this paper
• Increased chronic disease prevalence among the younger generation: Findings from a population-based data linkage study to inform chronic disease ascertainment among reproductive-aged Australian women

  2021cites this paper
• A population‐based study to develop juvenile arthritis case definitions for administrative health data using model‐based dynamic classification

  2021cites this paper
• Prevalence, incidence and risk factors of diabetes in Australian adults aged ≥45 years: A cohort study using linked routinely-collected data

  2020cites this paper
• Charles Darwin University Prevalence, incidence and risk factors of diabetes in Australian adults aged 45 years

  2020cites this paper
• Osteoporosis in colorectal cancer survivors: analysis of the linkage between SWOG trial enrollees and Medicare claims

  2019cites this paper
• Hip Fractures in Older Adults in Ontario, Canada—Monthly Variation, Insights, and Implications

  2019cites this paper
• Fractures in Kidney Transplant Recipients: A Comparative Study Between England and New York State.

  2017cites this paper
• Under-coding of secondary conditions in coded hospital health data: impact of co-existing conditions, death status and number of codes in a record

  2017cites this paper
• Comparative Safety and Effectiveness of Denosumab Versus Zoledronic Acid in Patients With Osteoporosis: A Cohort Study

  2017cites this paper
• Utilization of bone mineral density testing among breast cancer survivors in British Columbia, Canada

  2017cites this paper
• Model-based methods for case definitions from administrative health data: application to rheumatoid arthritis

  2017cites this paper
• Prediction and Utility of a clinical fracture risk score in administrative claims

  2017influential citation
• Fracture Incidence and Characteristics in Young Adults Aged 18 to 49 Years: A Population‐Based Study

  2017cites this paper
• Health and social predictors of applications to public housing: a population-based analysis

  2016cites this paper
• Correlates of partner and family violence among older Canadians: a life-course approach.

  2016cites this paper
• Estimation de l'exhaustivité des données de facturation des médecins pour la détermination des cas de diabète au moyen des données sur les médicaments d'ordonnance

  2016cites this paper
• Estimating the completeness of physician billing claims for diabetes case ascertainment using population-based prescription drug data.

  2016cites this paper
• Validation Odyssey: From big data to local intelligence : Validity of case-finding algorithms and of measures of quality of care for chronic diseases in Italian Administrative Databases

  2016cites this paper
• Modification of claims-based measures improves identification of comorbidities in non-elderly women undergoing mastectomy for breast cancer: a retrospective cohort study

  2016cites this paper
• Subarachnoid hemorrhage admissions retrospectively identified using a prediction model

  2016cites this paper
• On-site programmatic attendance to cardiac rehabilitation and the healthy-adherer effect

  2015cites this paper
• The evolving use of administrative health data for quantifying burden of illness

  2015influential citation
• Hospitalisations, admission costs and re‐fracture risk related to osteoporosis in Western Australia are substantial: a 10‐year review

  2015cites this paper
• Validation of Diagnostic Groups Based on Health Care Utilization Data Should Adjust for Sampling Strategy

  2015cites this paper
• Fracture incidence in a large cohort of men age 30 years and older with osteoporosis

  2015cites this paper
• A Study of Clinical Coding Accuracy in Surgery: Implications for the Use of Administrative Big Data for Outcomes Management.

  2015cites this paper
• Requirements and Sources of Data to Complete an HTA

  2015cites this paper
• Predicting Individual-Level Probabilities of Dementia and Diabetes using Health Services Administrative Data

  2015cites this paper
• Refining Hypertension Surveillance to Account for Potentially Misclassified Cases

  2015cites this paper
• Administrative Record Linkage as a Tool for Public Health Research

  2014cites this paper
• Capture of Osteoporosis and Fracture Information in an Electronic Medical Record Database from Primary Care

  2014cites this paper
• Mining rich health data from Canadian physician claims: features and face validity

  2014cites this paper
• Validity of the RAI-MDS for ascertaining diabetes and comorbid conditions in long-term care facility residents

  2014cites this paper
• A Validation Study of Administrative Data Algorithms to Identify Patients with Parkinsonism with Prevalence and Incidence Trends

  2014cites this paper
• Trends in Fracture Incidence: A Population‐Based Study Over 20 Years

  2014cites this paper
• Use of administrative data for national surveillance of osteoporosis and related fractures in Canada: results from a feasibility study

  2013cites this paper
• Billing code algorithms to identify cases of peripheral artery disease from administrative data

  2013cites this paper
• Bone Mineral Density Screening Among Women with a History of Breast Cancer Treated with Aromatase Inhibitors

  2013cites this paper
• Sensitivity and specificity of traumatic brain injury diagnosis codes in United States Department of Veterans Affairs administrative data

  2013cites this paper
• The validity of administrative data to identify hip fractures is high--a systematic review.

  2013cites this paper
• Ascertainment of chronic diseases using population health data: a comparison of health administrative data and patient self-report

  2013cites this paper
• Risk Prediction of Femoral Neck Osteoporosis Using Machine Learning and Conventional Methods

  2013cites this paper
• Osteoporosis Risk Prediction for Bone Mineral Density Assessment of Postmenopausal Women Using Machine Learning

  2013cites this paper
• Advances in Computational Intelligence

  2013influential citation
• The association between serious upper gastrointestinal bleeding and incident bisphosphonate use: a population-based nested cohort study

  2013cites this paper
• Design and methods of a postmarketing pharmacoepidemiology study assessing long-term safety of Prolia® (denosumab) for the treatment of postmenopausal osteoporosis‡

  2013cites this paper
• MULTIPLE IMPUTATION TO CORRECT FOR MEASUREMENT ERROR: Application to Chronic Disease Case Ascertainment in Administrative Health Databases

  2012cites this paper
• Ankle fractures do not predict osteoporotic fractures in women with or without diabetes

  2012cites this paper
• Algorithms can be used to identify fragility fracture cases in physician-claims databases

  2012cites this paper
• Institutionalization following incident non-traumatic fractures in community-dwelling men and women

  2012cites this paper
• Osteoporosis-related fracture case definitions for population-based administrative data

  2012cites this paper
• Patient, physician, encounter, and billing characteristics predict the accuracy of syndromic surveillance case definitions

  2012cites this paper
• Identifying patients with osteoporosis or at risk for osteoporotic fractures.

  2012cites this paper
• MULTIPLE IMPUTATION TO CORRECT FOR MEASUREMENT ERROR

  2012cites this paper
• Improving automated case finding for ectopic pregnancy using a classification algorithm.

  2011cites this paper
• Surveillance of systemic autoimmune rheumatic diseases using administrative data

  2011cites this paper
• Administrative record linkage as a tool for public health research.

  2011cites this paper
• Estimating and comparing incidence and prevalence of chronic diseases by combining GP registry data: the role of uncertainty

  2011cites this paper
• Mortality rates after incident non-traumatic fractures in older men and women

  2011cites this paper
• The validity of using ICD-9 codes and pharmacy records to identify patients with chronic obstructive pulmonary disease

  2011cites this paper
• A Score Regression Approach to Assess Calibration of Continuous Probabilistic Predictions

  2010cites this paper
• Use of Brier score to assess binary predictions.

  2010cites this paper
• The usefulness of administrative databases for identifying disease cohorts is increased with a multivariate model.

  2010cites this paper
• Investigating concordance in diabetes diagnosis between primary care charts (electronic medical records) and health administrative data: a retrospective cohort study

  2010cites this paper
• Brier score summarizes model calibration and discrimination - Reply

  2010cites this paper
• Osteoporosis quality indicators using healthcare utilization data

  2010cites this paper
• Comparing administrative and survey data for ascertaining cases of irritable bowel syndrome: a population-based investigation

  2010cites this paper
• Importance of accurately identifying disease in studies using electronic health records

  2010cites this paper
• Validation of a case definition for osteoporosis disease surveillance

  2010cites this paper
• Good research practices for comparative effectiveness research: approaches to mitigate bias and confounding in the design of nonrandomized studies of treatment effects using secondary data sources: the International Society for Pharmacoeconomics and Outcomes Research Good Research Practices for Retr

  2009cites this paper
• Validity of autism diagnoses using administrative health data.

  2009cites this paper
• On guidelines for comparative effectiveness research using nonrandomized studies in secondary data sources.

  2009cites this paper
• Validité des diagnostics d’autisme recensés à l’aide de données administratives sur la santé

  2009cites this paper
• Socioeconomic variations in the prevalence and incidence of Parkinson's disease: a population-based analysis

  2009cites this paper
• PRACTICES FOR DESIGNING NON-RANDOMIZED STUDIES OF TREATMENT EFFECTS USING SECONDARY DATABASES : Report of the ISPOR Retrospective Database Analysis Task Force – Part II

  2009cites this paper
• A second order L0 stable algorithm for evaluating European options

  2006cites this paper