A1 Refereed original research article in a scientific journal

Improved Statistical Modeling of Tumor Growth and Treatment Effect in Preclinical Animal Studies with Highly Heterogeneous Responses In Vivo



Authors: Laajala TD, Corander J, Saarinen NM, Makela K, Savolainen S, Suominen MI, Alhoniemi E, Makela S, Poutanen M, Aittokallio T

Publisher: AMER ASSOC CANCER RESEARCH

Publication year: 2012

Journal: Clinical Cancer Research

Journal name in source: CLINICAL CANCER RESEARCH

Journal acronym: CLIN CANCER RES

Number in series: 16

Volume: 18

Issue: 16

First page : 4385

Last page: 4396

Number of pages: 12

ISSN: 1078-0432

DOI: https://doi.org/10.1158/1078-0432.CCR-11-3215(external)


Abstract

Conclusions: In general, the modeling framework enables identification of such biologically significant differences in tumor growth profiles that would have gone undetected or had required considerably higher number of animals when using traditional statistical methods. Clin Cancer Res; 18(16); 4385-96. (C) 2012 AACR.



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Last updated on 2024-26-11 at 11:59