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Clinical trial simulation to evaluate power to compare the antiviral effectiveness of two hepatitis C protease inhibitors using nonlinear mixed effect models: a viral kinetic approach

Overview of attention for article published in BMC Medical Research Methodology, April 2013
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Title
Clinical trial simulation to evaluate power to compare the antiviral effectiveness of two hepatitis C protease inhibitors using nonlinear mixed effect models: a viral kinetic approach
Published in
BMC Medical Research Methodology, April 2013
DOI 10.1186/1471-2288-13-60
Pubmed ID
Authors

Cédric Laouénan, Jeremie Guedj, France Mentré

Abstract

Models of hepatitis C virus (HCV) kinetics are increasingly used to estimate and to compare in vivo drug's antiviral effectiveness of new potent anti-HCV agents. Viral kinetic parameters can be estimated using non-linear mixed effect models (NLMEM). Here we aimed to evaluate the performance of this approach to precisely estimate the parameters and to evaluate the type I errors and the power of the Wald test to compare the antiviral effectiveness between two treatment groups when data are sparse and/or a large proportion of viral load (VL) are below the limit of detection (BLD).

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 55%
Researcher 2 18%
Student > Bachelor 1 9%
Student > Master 1 9%
Unspecified 1 9%
Other 0 0%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Unspecified 2 18%
Agricultural and Biological Sciences 2 18%
Business, Management and Accounting 1 9%
Decision Sciences 1 9%
Other 2 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 April 2013.
All research outputs
#2,899,669
of 3,635,018 outputs
Outputs from BMC Medical Research Methodology
#408
of 487 outputs
Outputs of similar age
#65,549
of 84,645 outputs
Outputs of similar age from BMC Medical Research Methodology
#29
of 31 outputs
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