Literature DB >> 24068252

Discussion: An estimate of the science-wise false discovery rate and application to the top medical literature.

Martijn J Schuemie1, Patrick B Ryan, Marc A Suchard, Zach Shahn, David Madigan.   

Abstract

Mesh：

Year:  2013        PMID： 24068252      PMCID： PMC3862211          DOI： 10.1093/biostatistics/kxt037

Source DB:  PubMed          Journal:  Biostatistics        ISSN： 1465-4644            Impact factor:   5.899


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  4 in total

Review 1.  Case series analysis of adverse reactions to vaccines: a comparative evaluation.

Authors:  C P Farrington; J Nash; E Miller
Journal:  Am J Epidemiol       Date:  1996-06-01       Impact factor: 4.897

2.  Relative incidence estimation from case series for vaccine safety evaluation.

Authors:  C P Farrington
Journal:  Biometrics       Date:  1995-03       Impact factor: 2.571

3.  High-dimensional propensity score adjustment in studies of treatment effects using health care claims data.

Authors:  Sebastian Schneeweiss; Jeremy A Rassen; Robert J Glynn; Jerry Avorn; Helen Mogun; M Alan Brookhart
Journal:  Epidemiology       Date:  2009-07       Impact factor: 4.822

4.  Interpreting observational studies: why empirical calibration is needed to correct p-values.

Authors:  Martijn J Schuemie; Patrick B Ryan; William DuMouchel; Marc A Suchard; David Madigan
Journal:  Stat Med       Date:  2013-07-30       Impact factor: 2.373
  4 in total
  2 in total

1.  Systematic assessment of pharmaceutical prescriptions in association with cancer risk: a method to conduct a population-wide medication-wide longitudinal study.

Authors:  Chirag J Patel; Jianguang Ji; Jan Sundquist; John P A Ioannidis; Kristina Sundquist
Journal:  Sci Rep       Date:  2016-08-10       Impact factor: 4.379

2.  p-Curve and p-Hacking in Observational Research.

Authors:  Stephan B Bruns; John P A Ioannidis
Journal:  PLoS One       Date:  2016-02-17       Impact factor: 3.240
  2 in total

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