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A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis

Ribba, B (author)
Holford, Nick H (author)
Magni, P (author)
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Trocóniz, I (author)
Gueorguieva, I (author)
Girard, P (author)
Sarr, C (author)
Elishmereni, M (author)
Kloft, C (author)
Friberg, Lena E (author)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap
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 (creator_code:org_t)
2014-05-07
2014
English.
In: CPT. - : Wiley. - 2163-8306. ; 3:5, s. 1-10
  • Journal article (peer-reviewed)
Abstract Subject headings
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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.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

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