Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
Este curso forma parte de Programa especializado: Biostatistics in Public Health
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Acerca de este Curso
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
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Prueba Coursera para negociosQué aprenderás
Practice simple regression methods to determine relationships between an outcome and a predictor
Recognize confounding in statistical analysis
Perform estimate adjustments
Habilidades que obtendrás
- P-Value
- Proportional Hazards Model
- Confounding
- regression
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
Simple Regression Methods
Simple Logistic Regression
Simple Cox Proportional Hazards Regression
Confounding, Adjustment, and Effect Modification
Course Project
Reseñas
- 5 stars76,71 %
- 4 stars19,40 %
- 3 stars2,38 %
- 2 stars1,19 %
- 1 star0,29 %
Principales reseñas sobre SIMPLE REGRESSION ANALYSIS IN PUBLIC HEALTH
I would consider this an intuitive introduction to linear regression as a powerful statistical tool. The use of data from real studies is also a nice touch.
Another exceptional class by Dr. John McGready. Clear and concise with many real-world research reviews that make challenging subjects such as logistic regression much more easy to understand.
Complex analyses clearly explained, with an emphasis on interpretation rather than on mechanics. Excellent examples from published literature used throughout. Highly recommended!
I would like to thank the instructor. Sir, you have explained everything so well and clearly step by step. It has been very helpful
Acerca de Programa especializado: Biostatistics in Public Health

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