Acerca 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.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio

We advise that you first take the previous courses in the series, particularly Introduction to Statistics, though this is not essential.

Aprox. 11 horas para completar
Inglés (English)

Qué aprenderás

  • Run Kaplan-Meier plots and Cox regression in R and interpret the output

  • Describe a data set from scratch, using descriptive statistics and simple graphical methods as a necessary first step for more advanced analysis

  • Describe and compare some common ways to choose a multiple regression model

Habilidades que obtendrás

Understand common ways to choose what predictors go into a regression modelRun and interpret Kaplan-Meier curves in RConstruct a Cox regression model in R
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio

We advise that you first take the previous courses in the series, particularly Introduction to Statistics, though this is not essential.

Aprox. 11 horas para completar
Inglés (English)

Instructor

ofrecido por

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Imperial College London

Comienza a trabajar para obtener tu maestría

This curso is part of the 100% online Global Master of Public Health from Imperial College London. If you are admitted to the full program, your courses count towards your degree learning.

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

4 horas para completar

The Kaplan-Meier Plot

4 horas para completar
4 videos (Total 16 minutos), 11 lecturas, 3 cuestionarios
4 videos
What is Survival Analysis?4m
The KM plot and Log-rank test4m
What is Heart Failure and How to run a KM plot in R4m
11 lecturas
About Imperial College & the team10m
How to be successful in this course10m
Grading policy10m
Data set and glossary10m
Additional Readings10m
Life tables20m
Feedback: Life Tables10m
The Course Data Set20m
Feedback: Running a KM plot and log-rank test3m
Practice in R: Run another KM Plot and log-rank test10m
Feedback: Running another KM plot and log-rank test10m
3 ejercicios de práctica
Survival Analysis Variables30m
Life tables30m
Practice in R: Running a KM plot and log-rank test20m
Semana
2

Semana 2

2 horas para completar

The Cox Model

2 horas para completar
3 videos (Total 18 minutos), 4 lecturas, 2 cuestionarios
3 videos
How to run Simple Cox model in R7m
Introduction to Missing Data5m
4 lecturas
Hazard Function and Risk Set20m
Practice in R: Simple Cox Model30m
Feedback: Simple Cox Model10m
Further Reading20m
2 ejercicios de práctica
Hazard function and Ratio5m
Simple Cox Model15m
Semana
3

Semana 3

2 horas para completar

The Multiple Cox Model

2 horas para completar
1 video (Total 6 minutos), 7 lecturas, 1 cuestionario
7 lecturas
Introduction to Running Descriptives10m
Practice in R: Getting to know your data30m
Feedback: Getting to know your data10m
How to run multiple Cox model in R20m
Introduction to Non-convergence10m
Practice: Fixing the problem of non-convergence10m
Feedback on fixing a non-converging model15m
1 ejercicio de práctica
Multiple Cox Model10m
Semana
4

Semana 4

3 horas para completar

The Proportionality Assumption

3 horas para completar
3 videos (Total 11 minutos), 7 lecturas, 3 cuestionarios
3 videos
Cox proportional hazards assumption4m
Summary of Course2m
7 lecturas
Checking the proportionality assumption10m
Feedback on Practice Quiz10m
What to do if the proportionality assumption is not met20m
How to choose predictors for a regression model20m
Practice in R: Running a Multiple Cox Model
Results of the exercise on model selection and backwards elimination10m
Final Code10m
3 ejercicios de práctica
Assessing the proportionality assumption in practice5m
Testing the proportionality assumption with another variable15m
End-of-Module Assessment20m

Reseñas

Principales reseñas sobre SURVIVAL ANALYSIS IN R FOR PUBLIC HEALTH

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Acerca de Programa especializado: Análisis estadístico con R para el área de la salud pública

Análisis estadístico con R para el área de la salud pública

Preguntas Frecuentes

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