University of Iceland
Preface
About the book
Software
Setup in RStudio
Some Probability Distributions
Discrete Distributions
Continuous
1
Introduction to Survival Analysis
1.1
Inngangur
1.2
Skerðing (censoring)
1.3
Kaplan Meier metillinn
1.3.1
Kaplan Meier gröf
1.3.2
Kaplan Meier gröf eftir hópum
1.4
Miðgildi lifunar og logrank próf
1.5
Víti að varast og breyting á tímaskala
2
Some Non-Parametric Procedures
2.1
2.1.2
2.2
2.1.3 Nelson - Aalen
2.3
2.2
2.4
2.2 Estimating the hazard function
2.5
An Application to Cat Adoptions
2.5.1
Data
2.5.2
Kaplan-Meier
2.5.3
Nelson-Aalen
2.5.4
Compare
3
The Cox Regression Model
3.1
Inngangur
3.2
Modeling the hazard function
3.2.1
A model for comparison of two groups
3.2.2
The general proportional hazards model
3.3
Fitting the Cox regression model
4
Model Checking in the Cox Regression Model
4.1
Einfalt Kaplan Meier
4.2
Veldislifunarfallið
4.3
Leifar í Cox
4.4
Survminer
4.4.1
Deviance residuals
4.4.2
dfbeta
5
Parametric Proportional Hazards Models
5.1
Introduction
5.2
Exponential survival function for the survival time
5.3
The Weibull survival function
5.3.1
Proportional hazards representation - PH
5.3.2
The accelerated failure time representation - AFT
5.4
Estimating the hazard function and survival
5.4.1
Exponential with flexsurv
5.4.2
Weibull PH with flexsurv
5.5
Covariates and Hazard ratios
5.6
Test of interaction using flexurvreg
5.7
Comparison with a Cox model
5.8
Estimating risk
6
Time-Dependent Variables and Covariates
7
Competing Risks
Published with bookdown
Survival Analysis (LÝÐ079F)
Chapter 6
Time-Dependent Variables and Covariates
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