Literature DB >> 9478281

Statistical approaches to experimental design and data analysis of in vivo studies.

J J Hanfelt1.   

Abstract

The objective of any experiment is to obtain an unbiased and precise estimate of a treatment effect in an efficient manner. Statistical aspects of the design, conduct, and analysis of the experiment play a major role in determining whether this goal is met. We highlight some of the more important statistical issues that pertain to in vivo studies. Particular emphasis is placed on the role of randomization, the number of animals, the utilization of repeated measures data, adjustments for missing data, and dealing with multiple causes of death or treatment failure. The discussion is not intended to be a comprehensive guide to all the statistical issues that can occur in animal experiments. Rather, the objective is to acquaint researchers with components of the experiment that will require careful statistical thought.

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Year:  1997        PMID: 9478281     DOI: 10.1023/a:1005946614343

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  9 in total

1.  Assessment of antitumor activity for tumor xenograft studies using exponential growth models.

Authors:  Jianrong Wu
Journal:  J Biopharm Stat       Date:  2011-05       Impact factor: 1.051

Review 2.  Three endpoints of in vivo tumour radiobiology and their statistical estimation.

Authors:  Eugene Demidenko
Journal:  Int J Radiat Biol       Date:  2010-02       Impact factor: 2.694

3.  An electrospun scaffold integrating nucleic acid delivery for treatment of full-thickness wounds.

Authors:  Serge Kobsa; Nina J Kristofik; Andrew J Sawyer; Alfred L M Bothwell; Themis R Kyriakides; W Mark Saltzman
Journal:  Biomaterials       Date:  2013-02-27       Impact factor: 12.479

4.  A technology platform to assess multiple cancer agents simultaneously within a patient's tumor.

Authors:  S Bahram Bahrami; Beryl A Hatton; Richard A Klinghoffer; Jason P Frazier; Alicia Moreno-Gonzalez; Andrew D Strand; William S Kerwin; Joseph R Casalini; Derek J Thirstrup; Sheng You; Shelli M Morris; Korashon L Watts; Mandana Veiseh; Marc O Grenley; Ilona Tretyak; Joyoti Dey; Michael Carleton; Emily Beirne; Kyle D Pedro; Sally H Ditzler; Emily J Girard; Thomas L Deckwerth; Jessica A Bertout; Karri A Meleo; Ellen H Filvaroff; Rajesh Chopra; Oliver W Press; James M Olson
Journal:  Sci Transl Med       Date:  2015-04-22       Impact factor: 17.956

5.  Prepubertal exposure to zearalenone or genistein reduces mammary tumorigenesis.

Authors:  L Hilakivi-Clarke; I Onojafe; M Raygada; E Cho; T Skaar; I Russo; R Clarke
Journal:  Br J Cancer       Date:  1999-08       Impact factor: 7.640

Review 6.  Growth rate analysis and efficient experimental design for tumor xenograft studies.

Authors:  Gregory Hather; Ray Liu; Syamala Bandi; Jerome Mettetal; Mark Manfredi; Wen-Chyi Shyu; Jill Donelan; Arijit Chakravarty
Journal:  Cancer Inform       Date:  2014-12-09

7.  Statistical analysis of longitudinal data on tumour growth in mice experiments.

Authors:  Ioannis Zavrakidis; Katarzyna Jóźwiak; Michael Hauptmann
Journal:  Sci Rep       Date:  2020-06-04       Impact factor: 4.379

8.  Analysing Tumour Growth Delay Data from Animal Irradiation Experiments with Deviations from the Prescribed Dose.

Authors:  Leonhard Karsch; Elke Beyreuther; Doreen Eger Passos; Jörg Pawelke; Steffen Löck
Journal:  Cancers (Basel)       Date:  2019-08-31       Impact factor: 6.639

9.  Experimental models of endocrine responsive breast cancer: strengths, limitations, and use.

Authors:  Robert Clarke; Brandon C Jones; Catherine M Sevigny; Leena A Hilakivi-Clarke; Surojeet Sengupta
Journal:  Cancer Drug Resist       Date:  2021-07-08
  9 in total

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