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MATLAB®-based fitting method to evaluate survival fractions after multimodal treatment.
Marzec, Jolanta; Marzec, Lukasz; Martus, Peter; Zips, Daniel; Müller, Arndt-Christian.
Afiliação
  • Marzec J; Department of Radiation Oncology, Eberhard Karls University, Hoppe-Seyler-Strasse 3, 76072 Tübingen, Germany.
  • Marzec L; Zentrum für Datenverarbeitung, Eberhard Karls University, Wächterstraße 76, 72074 Tübingen, Germany.
  • Martus P; Institute for Clinical Epidemiology and Applied Biometry, Eberhard Karls University, Silcherstraße 5, 72076 Tübingen, Germany.
  • Zips D; Department of Radiation Oncology, Eberhard Karls University, Hoppe-Seyler-Strasse 3, 76072 Tübingen, Germany.
  • Müller AC; Department of Radiation Oncology, Eberhard Karls University, Hoppe-Seyler-Strasse 3, 76072 Tübingen, Germany.
Clin Transl Radiat Oncol ; 10: 36-41, 2018 Mar.
Article em En | MEDLINE | ID: mdl-29928704
To easily analyse and visualize cell kill dynamics measured by survival fraction after single or combined treatments a MATLAB®-based application was developed. A statistical analysis with different options of visualisation of single and combined treatment effects can be performed in a few steps not requiring advanced knowledge of statistical programs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Clin Transl Radiat Oncol Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Clin Transl Radiat Oncol Ano de publicação: 2018 Tipo de documento: Article