Literature DB >> 26390833

Digoxin and mortality: lessons for observational studies.

Anthonius de Boer1, Adam F Cohen2.   

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Year:  2015        PMID： 26390833      PMCID： PMC4693562          DOI： 10.1111/bcp.12791

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN： 0306-5251            Impact factor:   4.335


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  7 in total

1.  Why do the results of randomised and observational studies differ?

Authors:  Jan P Vandenbroucke
Journal:  BMJ       Date:  2011-11-07

2.  Digoxin and mortality: lessons for observational studies.

Authors:  Anthonius de Boer; Adam F Cohen
Journal:  Br J Clin Pharmacol       Date:  2015-11-20       Impact factor: 4.335

3.  Analysis of individual drug use as a time-varying determinant of exposure in prospective population-based cohort studies.

Authors:  B H Ch Stricker; T Stijnen
Journal:  Eur J Epidemiol       Date:  2010-04-01       Impact factor: 8.082

4.  Flexible modeling of the cumulative effects of time-dependent exposures on the hazard.

Authors:  Marie-Pierre Sylvestre; Michal Abrahamowicz
Journal:  Stat Med       Date:  2009-11-30       Impact factor: 2.373

Review 5.  Learning versus confirming in clinical drug development.

Authors:  L B Sheiner
Journal:  Clin Pharmacol Ther       Date:  1997-03       Impact factor: 6.875

6.  Trials are best, ignore the rest: safety and efficacy of digoxin.

Authors:  Graham D Cole; Darrel P Francis
Journal:  BMJ       Date:  2015-08-30

Review 7.  Safety and efficacy of digoxin: systematic review and meta-analysis of observational and controlled trial data.

Authors:  Oliver J Ziff; Deirdre A Lane; Monica Samra; Michael Griffith; Paulus Kirchhof; Gregory Y H Lip; Richard P Steeds; Jonathan Townend; Dipak Kotecha
Journal:  BMJ       Date:  2015-08-30
  7 in total
  1 in total

1.  Digoxin and mortality: lessons for observational studies.

Authors:  Anthonius de Boer; Adam F Cohen
Journal:  Br J Clin Pharmacol       Date:  2015-11-20       Impact factor: 4.335
  1 in total

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