Hands On Training

Survival Analysis in R

Name: Survival Analysis in R
Brand: Careervira
Price: 150 USD
Availability: InStock
Rating: 1 (1 reviews)

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Course Report

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Is it more likely that patients who are treated with the new drug will survive? How long does it take to find a job? What can I do to ensure my friends stay on the dance floor during my party? These questions can be answered best by analysing time-to-event data. To do this, we use certain statistical methods. This course introduces you to the basics of time-to–'event data analysis (also called survival analysis). This course will teach you how to use time-to-event data and how to interpret survivor curves.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Introduction to Regression in R

What You Will Learn

Learn how to deal with time-to-event data and how to compute, visualize and interpret survivor curves as well as Weibull and Cox models

Learn to work with time-to-event data

This course introduces basic concepts of time-to-event data analysis, also called survival analysis

Course Content

Expand all sections

Module 1: What is Survival Analysis?

Module 2: Estimation of survival curves

Module 3: The Weibull model

Module 4: The Cox Model

Course Instructors

Heidi Seibold

Statistician at LMU Munich

Heidi is a statistics postdoc at LMU Munich. Her research focus is on statistical methods for personalized medicine with the aim of improving treatment of patients. Heidi has collaborated on several ...