Tags
Analysis of Data
Demystifying Pearson’s r: A handy guide
Pearson’s correlation coefficient is a highly popular and valuable tool. It helps researchers understand the relationship between continuous variables and draw meaningful insights from their data.
Jun 6, 2024
Understanding Correlation Coefficients: A Comprehensive Guide for Researchers
Correlation coefficients are useful for researchers seeking to understand relationships between variables. By comprehending the nuances of positive and negative correlations, employing appropriate measures such as Pearson’s r or Spearman’s rho, and exercising caution in interpretation, researchers can harness the power of correlation analysis effectively in their studies.
Jun 4, 2024
INFOGRAPHIC : Powerful ways to tackle missing data
What some the statistician-approved ways of handling missing data? Biostatisticians have developed various useful techniques to deal with these holes in your dataset. The infographic below outlines 5 powerful and effective ways of handling missing data in your study so that your inferences are robust and reliable.
May 14, 2024
Hidden Markov Models: A handy tool for pattern recognition
Hidden Markov Models (HMMs) are extensively used in biomedical research for analyzing various types of sequential data, including DNA sequences, protein sequences, and biological pathways. Here are some common applications.
May 2, 2024
