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survival (version 3.1-11)

Survival Analysis

Description

Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.

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Install

install.packages('survival')

Monthly Downloads

116,731

Version

3.1-11

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

March 7th, 2020

Functions in survival (3.1-11)

Create a Survival Object

Cox model fitting functions

Aalen's additive regression model for censored data

Bladder Cancer Recurrences

Methods for Surv objects

Acute Myelogenous Leukemia survival data

Adjudicate near ties in a Surv object

Create new-style "assign" attribute

Alias for the survfit function

Analysis of Deviance for a Cox model.

Chronic Granulotomous Disease data

Compute the concordance

Test the Proportional Hazards Assumption of a Cox Regression

Chemotherapy for Stage B/C colon cancer

Confidence limits for the Poisson

Conditional logistic regression

Compute the concordance statistic for data or a model

Identify clusters.

Assay of serum free light chain for 7874 subjects.

Create data for a Fine-Gray model

Ddiabetic retinopathy

Ancillary arguments for controlling coxph fits

Distributions available in survreg.

Add Lines or Points to a Survival Plot

Return the states of a multi-state Surv object

Random effects terms

Fit Proportional Hazards Regression Model

Fits proportional hazards regression model to case-cohort data

Proportional Hazards Regression Object

Chronic Granulotamous Disease data

model.matrix.coxph

Model.matrix method for coxph models

Details of a Cox Model Fit

Acute myeloid leukemia

NCCTG Lung Cancer Data

print.summary.coxph

Print method for summary.coxph objects

Compute a quadratic form

Stanford Heart Transplant data

Monoclonal gammopathy data

Non-alcohol fatty liver disease

logLik method for a Cox model

print.summary.survexp

Print Survexp Summary

Data from the National Wilm's Tumor Study

Identify Stratification Variables

quantile.survfit

Quantiles from a survfit object

Rate table structure

Ovarian Cancer Survival Data

print.summary.survfit

Print Survfit Summary

Find the index of the closest value in data set 2, for each entry in data set one.

A direct interface to the `computational engine' of survfit.coxph

Convert date objects to ratetable form

Print a Short Summary of a Survival Curve

Data from the 1972-78 GSS data used by Logan

Verify that an object is of class ratetable.

Predictions for a Cox model

Plot method for survfit objects

Compute Expected Survival

residuals.coxph

Calculate Residuals for a `coxph' Fit

Summarize an aareg fit

Compute Expected Survival

residuals.survreg

Compute Residuals for `survreg' Objects

Monoclonal gammopathy data

Mayo Clinic Primary Biliary Cirrhosis Data

Kidney catheter data

Rat treatment data from Mantel et al

Plot an aareg object.

rhDNASE data set

Ridge regression

Data from a soldering experiment

Create Aalen-Johansen estimates of multi-state survival from a matrix of hazards.

model.frame.coxph

Model.frame method for coxph objects

predict.survreg

Predicted Values for a `survreg' Object

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Diabetic Retinopathy

Graphical Test of Proportional Hazards

survfit.formula

Compute a Survival Curve for Censored Data

Data from a trial of usrodeoxycholic acid

summary.survexp

Summary function for a survexp object

summary.survfit

Summary of a Survival Curve

survival-internal

Internal survival functions

Verify a survreg distribution

O'Brien's Test for Association of a Single Variable with Survival

Test Survival Curve Differences

Checks of a survival data set

survfitcoxph.fit

A direct interface to the `computational engine' of survfit.coxph

Factors for person-year calculations

Parametric Survival Model Object

untangle.specials

Help Process the `specials' Argument of the `terms' Function.

Rat data from Gail et al.

Regression for a Parametric Survival Model

Sorting order for Surv objects

Veterans' Administration Lung Cancer study

Smoothing splines using a pspline basis

Reliability data sets

Print an aareg object

Time based merge for survival data

Summary method for Cox models

Summary function for pyears objecs

Population prediction

survConcordance

Compute a concordance measure.

Draw a state space figure.

More Stanford Heart Transplant data

Method for adding new models to the yates function.

Create survival curves

Expected Survival Curve Object

Split a survival data set at specified times

Survival Curve Object

Census Data Sets for the Expected Survival and Person Years Functions

Compute a Survival Curve from a Cox model

survreg.control

Package options for survreg and coxph

survreg.distributions

Parametric Survival Distributions

Tobin's Tobit data

Convert the format of a survfit object.

Variance-covariance matrix

Projected US Population

Liver transplant waiting list