Volver a Multiple Regression Analysis in Public Health
Opiniones y comentarios de aprendices correspondientes a Multiple Regression Analysis in Public Health por parte de Universidad Johns Hopkins
4.7
15 calificaciones
Acerca del Curso
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, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. 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 multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.
Principales revisiones
Filtrar por:
1 - 2 de 2 revisiones para Multiple Regression Analysis in Public Health
por Shady M S
•May 25, 2019
the course spends a lot of time repeating the same concepts. i would be more convinced if they spend more time in explaining how to make the multiple regressions , how many variables i can add and what are the limitations and how to make a measure of fitness
por Anurag M
•Jan 21, 2019
Would love to learn more from Dr. McGready in statistical courses more advanced than the ones offered in this specialization
Coursera brinda acceso universal a la mejor educación del mundo, al asociarse con las mejores universidades y organizaciones, para ofrecer cursos en línea.
© 2019 Coursera Inc. Todos los derechos reservados.
