Literature DB >> 21828172

Sensible use of observational clinical data.

J Marc Overhage1, Lauren M Overhage.   

Abstract

Observational data sets offer many potential advantages for medical research including their low cost, large size and generalisability. Because they are collected for clinical care and health care operations purposes, observational data sets have some limitations that must be considered in order to perform useful analyses. Sensible use of observational data sets can yield valuable insights, particularly when clinical trials are impractical.

Mesh:

Year:  2011        PMID: 21828172     DOI: 10.1177/0962280211403598

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  16 in total

Review 1.  Clinical Data Reuse or Secondary Use: Current Status and Potential Future Progress.

Authors:  S M Meystre; C Lovis; T Bürkle; G Tognola; A Budrionis; C U Lehmann
Journal:  Yearb Med Inform       Date:  2017-09-11

2.  Big data and large sample size: a cautionary note on the potential for bias.

Authors:  Robert M Kaplan; David A Chambers; Russell E Glasgow
Journal:  Clin Transl Sci       Date:  2014-07-15       Impact factor: 4.689

3.  Transgender Health Disparities: Comparing Full Cohort and Nested Matched-Pair Study Designs in a Community Health Center.

Authors:  Sari L Reisner; Jaclyn M White; Judith B Bradford; Matthew J Mimiaga
Journal:  LGBT Health       Date:  2014-09-01       Impact factor: 4.151

4.  Selecting Optimal Subset to release under Differentially Private M-estimators from Hybrid Datasets.

Authors:  Meng Wang; Zhanglong Ji; Hyeon-Eui Kim; Shuang Wang; Li Xiong; Xiaoqian Jiang
Journal:  IEEE Trans Knowl Data Eng       Date:  2017-11-14       Impact factor: 6.977

5.  Caveats for the use of operational electronic health record data in comparative effectiveness research.

Authors:  William R Hersh; Mark G Weiner; Peter J Embi; Judith R Logan; Philip R O Payne; Elmer V Bernstam; Harold P Lehmann; George Hripcsak; Timothy H Hartzog; James J Cimino; Joel H Saltz
Journal:  Med Care       Date:  2013-08       Impact factor: 2.983

6.  Linking electronic health records to better understand breast cancer patient pathways within and between two health systems.

Authors:  Caroline A Thompson; Allison W Kurian; Harold S Luft
Journal:  EGEMS (Wash DC)       Date:  2015-03-04

7.  Lung cancer: changes in histology, gender, and age over the last 30 years in Brazil.

Authors:  Maria Teresa Ruiz Tsukazan; Álvaro Vigo; Vinícius Duval da Silva; Carlos Henrique Barrios; Jayme de Oliveira Rios; José Antônio de Figueiredo Pinto
Journal:  J Bras Pneumol       Date:  2017 Sep-Oct       Impact factor: 2.624

Review 8.  Big data for bipolar disorder.

Authors:  Scott Monteith; Tasha Glenn; John Geddes; Peter C Whybrow; Michael Bauer
Journal:  Int J Bipolar Disord       Date:  2016-04-11

9.  Big data are coming to psychiatry: a general introduction.

Authors:  Scott Monteith; Tasha Glenn; John Geddes; Michael Bauer
Journal:  Int J Bipolar Disord       Date:  2015-09-29

10.  A General Framework for Considering Selection Bias in EHR-Based Studies: What Data Are Observed and Why?

Authors:  Sebastien Haneuse; Michael Daniels
Journal:  EGEMS (Wash DC)       Date:  2016-08-31
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