Nonparametric Estimation from Incomplete Observations. Kaplan-Meier Survival Curve Estimation Copyright @Statistical.Solutions Features One of the most cited statistical papers of all time As of today, 66638 citations listed on Google…
True or False❓ A 95% CI contains the true value of the population parameter with a 95% probability. The width of the CI provides a measure of the precision of…
Statistics does not tell us whether we are right. It tells us the chances of being wrong.Krzywinski, M., Altman, N. Importance of being uncertain. Nat Methods 10, 809–810 (2013). https://doi.org/10.1038/nmeth.2613 Understanding Replication…
This workshop offers an introduction to the fundamental principles and concepts in statistics. The first part covers classical and more recent exploratory data analysis (EDA) techniques to describe data with numerical and graphical tools. The various uses of these methods such as outlier detection is discussed. The second part addresses, with the help of real-life examples, the principles underlying statistical testing and decision-making in the presence of uncertainty. It covers risks involved, effect size, p-values as well as statistical significance and practical relevance. The use and interpretation of confidence intervals is also discussed. An excellent introductory module and a solid basis for all other courses.