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Literature DB >> 22195178

Design and validation of a data simulation model for longitudinal healthcare data.

Richard E Murray¹, Patrick B Ryan, Stephanie J Reisinger.

Abstract

Evaluating performance characteristics of analytic methods developed to identify treatment effects in longitudinal healthcare data has been hindered by lack of an objective benchmark to measure performance. Relationships between drugs and subsequent treatment effects are not precisely quantified in real-world data, and simulated data offer potential to augment method development by providing data with known, measurable characteristics. However, the use of simulated data has been limited due to its inability to adequately reflect the complexities inherent in real-world databases that are necessary for effective method development. The goal of this study was to develop and evaluate a model for simulating longitudinal healthcare data that adequately captures these complexities. An empiric design was chosen that utilizes the characteristics of a real healthcare database as simulation input. This model demonstrates the potential for simulated data with known characteristics to adequately reflect complex relationships among diseases and treatments as recorded in healthcare databases.

Mesh：

Year: 2011 PMID： 22195178 PMCID： PMC3243118

Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN： 1559-4076

6 in total

1. Advancing the science for active surveillance: rationale and design for the Observational Medical Outcomes Partnership.

Authors: Paul E Stang; Patrick B Ryan; Judith A Racoosin; J Marc Overhage; Abraham G Hartzema; Christian Reich; Emily Welebob; Thomas Scarnecchia; Janet Woodcock
Journal: Ann Intern Med Date: 2010-11-02 Impact factor: 25.391

2. Using simulation to assess the sensitivity and specificity of a signal detection tool for multidimensional public health surveillance data.

Authors: Henry Rolka; Dwayne Bracy; Channing Russell; David Fram; Robert Ball
Journal: Stat Med Date: 2005-02-28 Impact factor: 2.373

3. Comparison of epidemiologic methods for active surveillance of vaccine safety.

Authors: David L McClure; Jason M Glanz; Stanley Xu; Simon J Hambidge; John P Mullooly; James Baggs
Journal: Vaccine Date: 2008-05-06 Impact factor: 3.641

4. Estimating the unknown parameters of the natural history of metachronous colorectal cancer using discrete-event simulation.

Authors: Fatih Safa Erenay; Oguzhan Alagoz; Ritesh Banerjee; Robert R Cima
Journal: Med Decis Making Date: 2011-01-06 Impact factor: 2.583

5. FluTE, a publicly available stochastic influenza epidemic simulation model.

Authors: Dennis L Chao; M Elizabeth Halloran; Valerie J Obenchain; Ira M Longini
Journal: PLoS Comput Biol Date: 2010-01-29 Impact factor: 4.475

6. A simulation model for diarrhoea and other common recurrent infections: a tool for exploring epidemiological methods.

Authors: W-P Schmidt; B Genser; Z Chalabi
Journal: Epidemiol Infect Date: 2008-10-08 Impact factor: 2.451

6 in total

9 in total

Design and validation of a data simulation model for longitudinal healthcare data.

1. Advancing the science for active surveillance: rationale and design for the Observational Medical Outcomes Partnership.

2. Using simulation to assess the sensitivity and specificity of a signal detection tool for multidimensional public health surveillance data.

3. Comparison of epidemiologic methods for active surveillance of vaccine safety.

4. Estimating the unknown parameters of the natural history of metachronous colorectal cancer using discrete-event simulation.

5. FluTE, a publicly available stochastic influenza epidemic simulation model.

6. A simulation model for diarrhoea and other common recurrent infections: a tool for exploring epidemiological methods.

1. Evaluating performance of risk identification methods through a large-scale simulation of observational data.

2. Authors' reply to Hennessy and Leonard's comment on "Desideratum for evidence-based epidemiology".

3. Evaluation of the Case-Crossover (CCO) Study Design for Adverse Drug Event Detection.

4. Using Simulated Data to Assess Case-Crossover Designs for Studying Less Transient Effects of Drugs.

5. Replicability, Reproducibility, and Agent-based Simulation of Interventions.

6. A Pragmatic Approach for Reproducible Research With Sensitive Data.

7. Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases.

8. Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction.

9. Signal detection and monitoring based on longitudinal healthcare data.