By: Aly Diana The time has come for me to delve into Bayesian inference—a topic I’ve managed to avoid for years. Although I’m far from an expert, I’ve started scratching the surface of this fascinating concept. Here’s my attempt to share what I’ve learned: basic, but hopefully useful. Bayesian inference is a powerful statistical tool
Read moreBy: Aly Diana The H-index, developed by physicist J.E. Hirsch and first published in 2005 in the Proceedings of the National Academy of Sciences, is now one of the most widely used tools for assessing academic research impact. It offers a convenient way to evaluate both the productivity and citation impact of a researcher’s work.
Read moreBy: Aly Diana In the realm of public health and development, ensuring the quality and effectiveness of interventions is paramount. Lot Quality Assurance Sampling (LQAS) is a powerful yet straightforward tool that offers a robust method for assessing quality and coverage in various programs. Originally developed in the manufacturing industry, LQAS has been adapted for
Read moreBy: Aly Diana Multiple regression analysis is a cornerstone technique in scientific research for understanding complex relationships among variables. This powerful statistical method allows us to examine the effects of multiple predictors on a single outcome while controlling for other variables. Although I have practiced multiple regression analysis repeatedly, I must admit that I sometimes
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