Safety surveillance of longitudinal databases: Results on real-world data

Pharmacoepidemiology and Drug Safety

Volumn 21, Issue 6, 2012, Pages 673-675

  Norén, G Niklas ^a,b   Hopstadius, Johan ^a   Bate, Andrew ^c,d,e   Edwards, I Ralph ^a  

^a UPPSALA MONITORING CENTRE   (Sweden)

^b STOCKHOLM UNIVERSITY   (Sweden)

^c PFIZER INC   (United States)

^d BRUNEL UNIVERSITY   (United Kingdom)

^e NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PRESCRIPTION DRUG;

DATA BASE; DRUG SAFETY; DRUG SURVEILLANCE PROGRAM; HUMAN; LETTER; LONGITUDINAL STUDY; PHARMACOEPIDEMIOLOGY; PRESCRIPTION; PRIORITY JOURNAL; UNITED STATES; UNSPECIFIED SIDE EFFECT;

EID: 84862215375     PISSN: 10538569     EISSN: 10991557     Source Type: Journal    
DOI: 10.1002/pds.3258     Document Type: Letter

References (10)

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2. Norén GN, Bate A, Hopstadius J, Star K, Edwards IR. Temporal pattern discovery for trends and transient effects: its application to patient records. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; August 24-27, 2008; Las Vegas, Nevada, USA. 259: KDD '08. ACM; 2008. p. 963-71.
3. Norén GN, Hopstadius J, Bate A, Star K, Edwards IR. Temporal pattern discovery in longitudinal electronic patient records. Data Mining and Knowledge Discovery 2010; 20(3): 361-387.
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7. Stang PE, Ryan PB, Racoosin JA, Overhage JM, Hartzema AG, Reich C, et al. Advancing the science for active surveillance: rationale and design for the Observational Medical Outcomes Partnership. Ann Intern Med 2010; 153(9): 600-6.
8. Murray RE, Ryan PB, Reisinger SJ. Design and validation of a data simulation model for longitudinal healthcare data. AMIA Annu Symp Proc. 2011: 1176-85.
9. OSIM2. Observational Medical Outcomes Partnership. 2011 [2012-01-11]; Available from:
10. Norén GN, Hopstadius J, Bate A. Shrinkage observed-to-expected ratios for robust and transparent large-scale pattern discovery. Stat Methods Med Res. [Published on-line]. 2011.