Literature DB >> 31637696

Response to "The Self-Controlled Case Series Design as a Viable Alternative to Studying Clinically Relevant Drug Interactions".

Katsiaryna Bykov1, Joshua J Gagne1.   

Abstract

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Year:  2019        PMID： 31637696      PMCID： PMC7015272          DOI： 10.1002/cpt.1630

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN： 0009-9236            Impact factor:   6.875


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  3 in total

1.  Tutorial in biostatistics: the self-controlled case series method.

Authors:  Heather J Whitaker; C Paddy Farrington; Bart Spiessens; Patrick Musonda
Journal:  Stat Med       Date:  2006-05-30       Impact factor: 2.373

2.  A Case-Crossover-Based Screening Approach to Identifying Clinically Relevant Drug-Drug Interactions in Electronic Healthcare Data.

Authors:  Katsiaryna Bykov; Sebastian Schneeweiss; Robert J Glynn; Murray A Mittleman; Joshua J Gagne
Journal:  Clin Pharmacol Ther       Date:  2019-03-18       Impact factor: 6.875

3.  Comparison of Self-controlled Designs for Evaluating Outcomes of Drug-Drug Interactions: Simulation Study.

Authors:  Katsiaryna Bykov; Jessica M Franklin; Hu Li; Joshua J Gagne
Journal:  Epidemiology       Date:  2019-11       Impact factor: 4.822
  3 in total
  1 in total

1.  Drug-Drug Interaction Surveillance Study: Comparing Self-Controlled Designs in Five Empirical Examples in Real-World Data.

Authors:  Katsiaryna Bykov; Hu Li; Sangmi Kim; Seanna M Vine; Vincent Lo Re; Joshua J Gagne
Journal:  Clin Pharmacol Ther       Date:  2020-12-17       Impact factor: 6.875
  1 in total

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