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survival (version 3.5-5)

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

132,377

Version

3.5-5

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

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Last Published

March 12th, 2023

Functions in survival (3.5-5)

Cox model fitting functions

Convert data from timecourse to (time1,time2) style

Acute Myelogenous Leukemia survival data

Analysis of Deviance for a Cox model.

Bladder Cancer Recurrences

Create a Survival Object

Methods for Surv objects

Fits proportional hazards regression model to case-cohort data

Create new-style "assign" attribute

Chronic Granulotamous Disease data

Verify that an object is of class ratetable.

Kidney catheter data

Chemotherapy for Stage B/C colon cancer

Compute the concordance statistic for data or a model

Create a survival object

Bounded link functions

Compute the concordance

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

Ddiabetic retinopathy

Alias for the survfit function

Fit Proportional Hazards Regression Model

Test the Proportional Hazards Assumption of a Cox Regression

Breast cancer data sets used in Royston and Altman (2013)

Stanford Heart Transplant data

Aalen's additive regression model for censored data

Conditional logistic regression

Ancillary arguments for controlling coxph fits

model.matrix.coxph

Model.matrix method for coxph models

Identify clusters.

Data from the National Wilm's Tumor Study

Acute myeloid leukemia

Assay of serum free light chain for 7874 subjects.

Random effects terms

Monoclonal gammopathy data

Compute a quadratic form

Multi-state Proportional Hazards Regression Object

Ovarian Cancer Survival Data

Return the states of a multi-state Surv object

Adjudicate near ties in a Surv object

Chronic Granulotomous Disease data

NCCTG Lung Cancer Data

Compute a Survival Curve from a Cox model

Add Lines or Points to a Survival Plot

Rat treatment data from Mantel et al

print.summary.coxph

Print method for summary.coxph objects

Mayo Clinic Primary Biliary Cholangitis Data

Rat data from Gail et al.

Mayo Clinic Primary Biliary Cirrhosis, sequential data

print.summary.survexp

Print Survexp Summary

Monoclonal gammopathy data

survfit.formula

Compute a Survival Curve for Censored Data

model.frame.coxph

Model.frame method for coxph objects

Confidence limits for the Poisson

Test Survival Curve Differences

Predictions for a Cox model

More Stanford Heart Transplant data

Plot method for survfit objects

Data from a soldering experiment

Print a Short Summary of a Survival Curve

print.summary.survfit

Print Survfit Summary

Factors for person-year calculations

Time based merge for survival data

residuals.survfit

IJ residuals from a survfit object.

Diabetic Retinopathy

residuals.survreg

Compute Residuals for `survreg' Objects

Tobin's Tobit data

Liver transplant waiting list

Compute Expected Survival

Convert the format of a survfit object.

rhDNASE data set

survival-internal

Internal survival functions

summary.survexp

Summary function for a survexp object

Survival Curve Object

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

residuals.coxph

Calculate Residuals for a `coxph' Fit

Summary function for pyears objecs

Natural splines with knot heights as the basis.

survival-deprecated

Deprecated functions in package survival

survfitcoxph.fit

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

Reliability data sets

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

Draw a state space figure.

Identify Stratification Variables

Details of a Cox Model Fit

Proportional Hazards Regression Object

Plot an aareg object.

Checks of a survival data set

Create survival curves

Shorten a (time1, time2) survival dataset

Regression for a Parametric Survival Model

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

Census Data Sets for the Expected Survival and Person Years Functions

Method for adding new models to the yates function.

Population prediction

Graphical Test of Proportional Hazards

Data from a trial of usrodeoxycholic acid

survreg.distributions

Parametric Survival Distributions

survreg.control

Package options for survreg and coxph

untangle.specials

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

Distributions available in survreg.

Create data for a Fine-Gray model

logLik method for a Cox model

Data from the 1972-78 GSS data used by Logan

predict.survreg

Predicted Values for a `survreg' Object

Allow ratetable() terms in a model

Print an aareg object

Survival times of patients with multiple myeloma

Compute Royston's D for a Cox model

Convert date objects to ratetable form

Non-alcohol fatty liver disease

Compute redistribute-to-the-right weights

Variance-covariance matrix

summary.survfit

Summary of a Survival Curve

Projected US Population

Split a survival data set at specified times

Smoothing splines using a pspline basis

Pseudo values for survival.

Summarize an aareg fit

Summary method for Cox models

Ridge regression

Compute Expected Survival

quantile.survfit

Quantiles from a survfit object

Breast cancer data set used in Royston and Altman (2013)

Expected Survival Curve Object

Verify a survreg distribution

Parametric Survival Model Object

Sorting order for Surv objects

Veterans' Administration Lung Cancer study

aggregate.survfit

Average survival curves