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Survival Analysis in R

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$12

$6

49% OFF

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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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

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

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Introduction to Regression in R

What You Will Learn

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Learn to work with time-to-event data

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

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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

Course Instructors

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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 ...

Course Reviews

Average Rating Based on 3 reviews

5.0

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Course Cover

$12

$6

49% OFF

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