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A review of mixed-e...
A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis
- Article/chapterEnglish2014
Publisher, publication year, extent ...
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2014-05-07
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Wiley,2014
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:uu-244851
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https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-244851URI
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https://doi.org/10.1038/psp.2014.12DOI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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Population modeling of tumor size dynamics has recently emerged as an important tool in pharmacometric research. A series of new mixed-effects models have been reported recently, and we present herein a synthetic view of models with published mathematical equations aimed at describing the dynamics of tumor size in cancer patients following anticancer drug treatment. This selection of models will constitute the basis for the Drug Disease Model Resources (DDMoRe) repository for models on oncology.
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Holford, Nick H
(author)
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Magni, P
(author)
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Trocóniz, I
(author)
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Gueorguieva, I
(author)
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Girard, P
(author)
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Sarr, C
(author)
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Elishmereni, M
(author)
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Kloft, C
(author)
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Friberg, Lena EUppsala universitet,Institutionen för farmaceutisk biovetenskap(Swepub:uu)lenasimo
(author)
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Uppsala universitetInstitutionen för farmaceutisk biovetenskap
(creator_code:org_t)
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In:CPT: Wiley3:5, s. 1-102163-8306
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- By the author/editor
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Ribba, B
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Holford, Nick H
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Magni, P
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Trocóniz, I
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Gueorguieva, I
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Girard, P
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Sarr, C
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Elishmereni, M
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Kloft, C
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Friberg, Lena E
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- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Cancer and Oncol ...
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CPT
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Uppsala University