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- W1633175207 abstract "Abstract To more closely emulate clinical research methodology and improve clinical relevance, researchers are increasingly utilizing more clinically-similar group randomization and distribution methods for Inflammation studies in animals. A common pre-clinical approach is paradoxically the least clinically-relevant; a random number generator in a spreadsheet, which is subject to manual and transcription errors and provides no easy way to exclude animals from distribution based on other parameters. Pre-clinical trial software is available which automates the most recommended randomization and distribution methods based on tumor volume or other parameters: deterministic and pair-matched distribution, pure randomization, stratified sampling randomization and randomization across multiple numeric parameters. Subjects may be excluded initially based on recorded clinical observations and comments and then by acceptable value ranges for any numeric parameter. Animals can be randomized iteratively in a rolling or staggered way and can be re-randomized into new groups as required on drug-resistance studies. Proposed randomization results by ANOVA can be displayed instantly to ensure that the group means are acceptably similar. Standardizing and automating methods of randomization and distribution which are similar to this used clinically can potentially improve the ease, clinical relevance, quality and outcome of pre-clinical Inflammation studies relative to spreadsheet-based methods." @default.
- W1633175207 created "2016-06-24" @default.
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- W1633175207 date "2014-05-01" @default.
- W1633175207 modified "2023-09-25" @default.
- W1633175207 title "Pre-clinical studies of inflammation: automating the most common methods of animal randomization and distribution (EDU1P.254)" @default.
- W1633175207 doi "https://doi.org/10.4049/jimmunol.192.supp.49.8" @default.
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