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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Programa Especializado - Biostatistics in Public Health Universidad Johns HopkinsAcerca de este Curso
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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
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
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: Inglés (English)
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-ValueProportional Hazards ModelConfoundingregression
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
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
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: Inglés (English)
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
8 videos
Simple Regression: An Overview17m
Simple Linear Regression with a Binary (or Nominal Categorical) Predictor14m
Simple Linear Regression with a Categorical Predictor22m
Simple Linear Regression with a Continuous Predictor25m
Simple Linear Regression Model: Estimating the Regression Equation—Accounting for Uncertainty in the Estimates25m
Measuring the Strength of a Linear Association22m
Additional Examples17m
2 lecturas
Solutions to Linear Regression Practice Quiz10m
Quiz 1 Solution10m
2 ejercicios de práctica
Practice Quiz: Simple Linear Regression
Simple Linear Regression30m
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
7 videos
Simple Logistic Regression: An Overview9m
Simple Logistic Regression with a Binary (or Categorical) Predictor22m
Simple Logistic Regression with a Continuous Predictor25m
Simple Logistic Regression: Accounting for Uncertainty in the Estimates15m
Estimating Risk and Functions of Risk from Logistic Regression Results16m
Additional Examples21m
2 lecturas
Solutions to Practice Quiz on Simple Logistic Regression10m
Quiz 2 Solutions10m
2 ejercicios de práctica
Practice Quiz: Simple Logistic Regression
Logistic Regression30m
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
7 videos
Simple Cox Regression: An Overview17m
Simple Cox Regression with a Binary (or Categorical) Predictor17m
Simple Cox Regression with a Continuous Predictor23m
Simple Cox Regression: Accounting for Uncertainty in the Estimates14m
Estimating Survival Curves from Cox Regression Results11m
Additional Examples14m
2 lecturas
Solutions for Practice Quiz on Simple Cox Regression10m
Solutions to Summative Quiz 310m
2 ejercicios de práctica
Practice Quiz: Simple Cox Proportional Hazards Regression
Simple Cox Regression30m
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
10 videos
Introduction57s
Confounding: A Formal Definition and Some Examples15m
Adjusted Estimates: Presentation, Interpretation, and Utility for Assessing Confounding11m
Adjusted Estimates: The General Idea Behind the Computations8m
Additional Examples7m
Effect modification: Introduction with an analytic example17m
Effect modification: Tree damage and elevation example15m
Effect modification: Examples from the literature16m
Confounding versus effect modification: A review7m
Additional examples15m
1 lectura
Solutions to Summative Quiz 410m
2 ejercicios de práctica
Practice Quiz: Confounding and Effect Modification30m
Confounding and Effect Modification30m
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
1 lectura
Biostatistical Consulting Project10m
1 ejercicio de práctica
Course Project Quiz2h
Reseñas
Principales reseñas sobre SIMPLE REGRESSION ANALYSIS IN PUBLIC HEALTH
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.
por MA13 de ene. de 2020
Really great course. Thank you for creating this. I'm an epidemiologist but haven't practiced biostatistics in years. This course series not only refreshed but also taught me new things.
por ZA4 de jun. de 2020
Thank you so much for a beautiful explanation and presentation of topics that a lot of physicians tend struggle with, by making it understandable and logical
por ST27 de ago. de 2019
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
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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