Practical statistical considerations for investigating anti-tumor treatments in mice

Autor:	Kim E. Zerba, David V. Gold, Lixin Lang
Rok vydání:	2018
Předmět:	Statistics and Probability Risk analysis Antitumor activity Risk analysis (engineering) business.industry Treatment outcome Inference Medicine Statistics Probability and Uncertainty business
Zdroj:	Journal of Applied Statistics. 46:272-285
ISSN:	1360-0532 0266-4763
DOI:	10.1080/02664763.2018.1477925
Popis:	Anti-tumor treatment outcomes in mouse experiments can be challenging to interpret and communicate accurately. In reporting these experiments, rigorous statistical considerations are commonly absent, although statistical applications have been proposed. We investigated the practicality and utility of different statistical strategies for the analysis of anti-tumor responses in a longitudinal mouse case study. Each analysis that we performed had different endpoints, investigated different questions, and was based on different assumptions. We found rudimentary visual and risk analysis insufficient without additional considerations, and upon further investigation we found improvements in key anti-tumor parameter estimates associated with a drug combination in our case study. We offer practical statistical considerations for investigating anti-cancer treatments in mice, applying a multi-tier statistical approach.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::745508ac7d9f6ec6cc2e67e6a1d8ecca https://doi.org/10.1080/02664763.2018.1477925 Zobrazit plný text záznamu