micheledpierri.com: statistics, data analysis and coding
Nexus of Statistics, Data analysis, Coding, Art and Medicine
Definition Sensitivity analysis is a collection of techniques that determine how input parameters affect model results. Specifically, it measures how much variation in the results stems from different types of uncertainty. For a model: examines how Y changes when each X is modified. Sensitivity analysis can be applied across several key areas: predictive models, simulation,…
Why do we need random number generation in statistics and data science? Data scientists and statisticians rely on random number generation for several important purposes. They can be used to create data samples, which serves as a foundation for advanced statistical techniques. This includes Bootstrapping methods that involve resampling from existing data to create new…
Character encoding is the process of assigning a unique number to each character, enabling computers to exchange data in a standardized and unambiguous manner. Various encoding systems have developed over time and across different regions. These systems often lack compatibility, have space limitations (and consequently character limitations), and may use the same encoding for different…
The concept of “moment” has various interpretations depending on context, but generally refers to a unit of time, a specific occasion, or a particular state. In mechanics, a “moment” is the tendency of a force to rotate a body around a point or axis. In other contexts, it can refer to a precise instant in…
When setting up a repeated measures ANOVA test in SPSS, the dialog box for the model has “Type 3 sum of squares” selected by default. By exploring the window further, you’ll find that you can also choose Type 1, Type 2, or Type 4 sum of squares. How many types of Sums of Squares are…
In Python data management, SQL databases become essential when dealing with large data volumes. These databases efficiently handle extensive structured data, offering robust features for complex querying, maintaining data integrity, and managing storage effectively. As datasets grow in size and complexity, SQL databases provide the necessary scalability, performance optimization, and data consistency mechanisms crucial for…
Introduction Python has become an increasingly vital tool for analyzing healthcare data. It is a widely used programming language. According to the PYPL (Popularity of Programming Language) index, it ranks as the world’s most popular programming language, commanding a 30.7% market share. By comparison, Java holds 14.89% and JavaScript 7.78% of the market. Python’s success…
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