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Introduction:Statistical tests and their misinterpretation have been a topic of concern for decades, with some scientific journals even banning their use in research. Despite this, statistical methods remain prevalent and it is important to improve basic teaching and understanding of these methods. In an effort to clarify the meaning of significance tests, confidence intervals, and statistical power, a recent article published in the European Journal of Epidemiology reviews 25 common

Missing data is a common problem in research. It can occur for a variety of reasons, such as incomplete surveys, dropouts from clinical trials, or errors in data entry. Missing data can make it difficult to analyze data and draw accurate conclusions. There are several methods for dealing with missing data. One common method is to simply delete the cases with missing data. However, this can lead to biased results

In the dynamic landscape of pharmaceutical research, Contract Research Organizations (CROs) are finding an invaluable ally in biostatistics. This scientific field, which applies statistical methods to biological data, is transforming the way CROs manage and interpret the vast data generated during clinical trials, leading to more streamlined and effective research processes.Biostatistics: A Game-Changer in Data ManagementBiostatistics is pivotal in the design, execution, and analysis of health science research studies. It