The frontline combination of zanidatamab-hrii (Ziihera) and chemotherapy with or without tislelizumab (Tevimbra) was ...
We read with interest the article by Santacroce about personalised medicine in eosinophilic oesophagitis (EoE) and the ...
The presence of extreme values, often referred to as outliers, can significantly distort our understanding of data distribution. When analyzing data, it's crucial to understand how different measures ...
Abstract: Due to the influence of the natural environment, measuring instruments and other factors, the anomalous measurement data will lead the dispatchers to make wrong decisions, threatening the ...
Objectives: The aim of the study was to analyze glucocorticoid (GC) dosing protocols in dogs with hypoadrenocorticism (HA), and to identify predictors for optimal clinical outcomes during both the ...
#we can see that in original data we had 150 and 250 as outliers.In cleaned data we've no #outliers.
Tasks in which learners are asked to compare two data sets using box plots and decide which distribution contains more observations above a given threshold have already been investigated in research.
As our economy, society and daily life become increasingly dependent on data, new college graduates entering the workforce need to have the skills to analyze data effectively and from multiple angles.
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