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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ofrecido por
Programa especializado: Biostatistics in Public Health Universidad Johns HopkinsAcerca de este Curso
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Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 4 en
Nivel principiante
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Aprox. 14 horas para completar
Inglés (English)
Subtítulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
Qué 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
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 4 en
Nivel principiante
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Aprox. 14 horas para completar
Inglés (English)
Subtítulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
Universidad Johns Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Programa - Qué aprenderás en este curso
3 horas para completar
Simple Regression Methods
Module one covers simple regression, the four different types of regression, commonalities between them, and simple linear aggression. Before completing the graded quiz, you can test your knowledge with the practice quiz.
3 horas para completar
8 videos (Total 148 minutos), 2 lecturas, 2 cuestionarios
3 horas para completar
Simple Logistic Regression
Within module two, we will look at logistic regression, create confidence intervals, and estimate p-values. You will have the opportunity to test your knowledge in both a practice quiz and a graded quiz.
3 horas para completar
7 videos (Total 114 minutos), 2 lecturas, 2 cuestionarios
3 horas para completar
Simple Cox Proportional Hazards Regression
Module three focuses on Cox regression with different predictors. You will have the opportunity to test your knowledge first with the practice quiz and, then, with the graded quiz.
3 horas para completar
7 videos (Total 101 minutos), 2 lecturas, 2 cuestionarios
3 horas para completar
Confounding, Adjustment, and Effect Modification
Within module four, you will look at confounding and adjustment, and unadjusted and adjusted association estimates. Additionally, you will learn about effect modification. Similar to previous modules, you will first take a practice quiz before completing the graded quiz.
3 horas para completar
10 videos (Total 117 minutos), 1 lectura, 2 cuestionarios
2 horas para completar
Course Project
During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about self-administration of injectable contraception and one about medical appointment scheduling in Brazil. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies. If you've already taken other courses in this specialization, then this scenario will be familiar.
2 horas para completar
1 lectura
Reseñas
- 5 stars77,49 %
- 4 stars19,29 %
- 3 stars2,25 %
- 2 stars0,64 %
- 1 star0,32 %
Principales reseñas sobre SIMPLE REGRESSION ANALYSIS IN PUBLIC HEALTH
por MA1 de abr. de 2021
Very exciting course, comparing to the previous courses it is completely new to me. Thanks to Ph.D. MS John McCready and to Johns Hopkins University
por EL8 de may. de 2021
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.
por PV5 de sep. de 2020
Such complex concepts explained with ease. The section on confounding requires more than one reading. Really enjoyed it.
por BV23 de abr. de 2020
This course covers all types of Simple Regressions. Instructor explained the complex topics in simple language. Relevant examples from clinical field and thorough explanation by the Instructor.
Acerca de Programa especializado: Biostatistics in Public Health
This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.
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