Didactics-Statistic Epidemiology Fundamentals 3

Video Transcription

Video Summary

In this video, Dr. Tatiana Palacios, a gynecology oncologist, discusses the fundamentals of statistical epidemiology. She explains the concept of probability sampling and population, normal distribution, measures of central location and variability, hypothesis, and statistical tests. She emphasizes the importance of selecting a representative sample from a population when conducting a study. Dr. Palacios also discusses different types of probability sampling methods, including random sampling, systematic sampling, stratified sampling, and cluster sampling, as well as non-probability sampling methods like convenience sampling and snowball sampling. She explains the difference between quantitative and qualitative variables and highlights the need to analyze their distributions. She also explores measures of central location, such as mean, median, and mode, and measures of variability, including range, median deviation, standard deviation, and coefficient of variation. Dr. Palacios introduces measures of position, such as quartiles and percentiles, to analyze data independently of its distribution. She discusses the significance of hypothesis testing and explores type I and type II errors. She also explains the concept of p-value and confidence intervals. Finally, Dr. Palacios briefly mentions parametric and non-parametric tests and their application in statistical analysis.

Asset Subtitle

Ana Tatiana Palacios Torres

Keywords

statistical epidemiology

probability sampling

measures of central location

measures of variability

hypothesis testing

p-value