↓ Skip to main content

PLOS

Propensity Score Estimation to Address Calendar Time-Specific Channeling in Comparative Effectiveness Research of Second Generation Antipsychotics

Overview of attention for article published in PLOS ONE, May 2013
Altmetric Badge

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
28 Mendeley
Title
Propensity Score Estimation to Address Calendar Time-Specific Channeling in Comparative Effectiveness Research of Second Generation Antipsychotics
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0063973
Pubmed ID
Authors

Stacie B. Dusetzina, Christina D. Mack, Til Stürmer

Abstract

Channeling occurs when a medication and its potential comparators are selectively prescribed based on differences in underlying patient characteristics. Drug safety advisories can provide new information regarding the relative safety or effectiveness of a drug product which might increase selective prescribing. In particular, when reported adverse effects vary among drugs within a therapeutic class, clinicians may channel patients toward or away from a drug based on the patient's underlying risk for an adverse outcome. If channeling is not identified and appropriately managed it might lead to confounding in observational comparative effectiveness studies.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 18%
Student > Doctoral Student 4 14%
Librarian 3 11%
Student > Bachelor 3 11%
Other 3 11%
Other 7 25%
Unknown 3 11%
Readers by discipline Count As %
Medicine and Dentistry 9 32%
Pharmacology, Toxicology and Pharmaceutical Science 7 25%
Nursing and Health Professions 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Decision Sciences 1 4%
Other 3 11%
Unknown 5 18%