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Statistics Silica 12(2002), 273-296 RATIONAL STATISTICAL DESIGN OF ANTIGENS OLIGONUCLEOTIDES FOR HIGH THROUGHPUT FUNCTIONAL GENOMICS AND DRUG TARGET VALIDATION Ye Ding New York State Department of
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Rational statistical design is a framework used to develop a systematic and efficient methodology for conducting statistical studies.
There is no specific requirement for filing rational statistical design as it is a methodology used by statisticians and researchers during the planning phase of a statistical study.
Rational statistical design is not something that is filled out. It is a process that involves making informed decisions about study objectives, sample size determination, data collection methods, and statistical analysis.
The purpose of rational statistical design is to ensure that the statistical study is well-planned, rigorous, and capable of generating accurate and reliable results.
Rational statistical design does not require a specific set of information to be reported. It involves making decisions about various aspects of the study design, such as determining the research question, selecting the target population, deciding on sampling methods, and identifying possible sources of bias.
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