An automated sampling importance resampling procedure for estimating parameter uncertainty
An automated sampling importance resampling procedure for estimating parameter uncertainty
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
Quantifying the uncertainty around endpoints used for decision-making in drug development is essential. In nonlinear mixed-effects models (NLMEM) analysis, this uncertainty is derived from the uncertainty around model parameters. Different methods to assess parameter uncertainty exist, but scrutiny towards their adequacy is low. In a previous publi...
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Full title
An automated sampling importance resampling procedure for estimating parameter uncertainty
Authors, Artists and Contributors
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Record Identifier
TN_cdi_swepub_primary_oai_DiVA_org_uu_303630
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_DiVA_org_uu_303630
Other Identifiers
ISSN
1567-567X,1573-8744
E-ISSN
1573-8744
DOI
10.1007/s10928-017-9542-0
