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- W3024890979 abstract "This chapter addresses data analysis issues pertinent to biomarker research in drug development. More specifically, it is intended to clarify some common misconceptions or confusion concerning which situations are appropriate for alternative choices of statistical analysis and to integrate statistical issues with nonstatistical issues that also affect one's data interpretation. The chapter discusses some basic concepts concerning statistical methods of relevance to pharmacogenomics, in addition to some of the common errors in their application. There are different formulas for computing power or sample size, depending on the experimental design and whether data are continuous or categorical. The chapter shows an illustrative calculation using a formula suited to a standard design involving comparing means of two groups. Most of the chapter is based on the classical frequentist approach to inferential statistics with which most of people are familiar." @default.
- W3024890979 created "2020-05-21" @default.
- W3024890979 creator A5072393769 @default.
- W3024890979 date "2020-03-17" @default.
- W3024890979 modified "2023-09-23" @default.
- W3024890979 title "Applying Statistics Appropriately for Your Biomarker Application" @default.
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- W3024890979 doi "https://doi.org/10.1002/9781119187547.ch10" @default.
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