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survival (version 3.2-9)

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.packages('survival')

Monthly Downloads

116,731

Version

3.2-9

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

March 14th, 2021

Functions in survival (3.2-9)

aggregate.survfit

Average survival curves

Acute Myelogenous Leukemia survival data

Create a Survival Object

Analysis of Deviance for a Cox model.

Fits proportional hazards regression model to case-cohort data

Chronic Granulotamous Disease data

Cox model fitting functions

Bounded link functions

Create a survival object

Bladder Cancer Recurrences

Conditional logistic regression

Test the Proportional Hazards Assumption of a Cox Regression

Compute the concordance

Stanford Heart Transplant data

Identify clusters.

Verify that an object is of class ratetable.

Chronic Granulotomous Disease data

Monoclonal gammopathy data

Ddiabetic retinopathy

Acute myeloid leukemia

Distributions available in survreg.

Confidence limits for the Poisson

Compute a quadratic form

Non-alcohol fatty liver disease

Plot method for survfit objects

Predictions for a Cox model

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

Random effects terms

Monoclonal gammopathy data

Print an aareg object

rhDNASE data set

Diabetic Retinopathy

predict.survreg

Predicted Values for a `survreg' Object

Proportional Hazards Regression Object

Details of a Cox Model Fit

Print a Short Summary of a Survival Curve

residuals.survfit

IJ residuals from a survfit object.

print.summary.survfit

Print Survfit Summary

Alias for the survfit function

Convert data from timecourse to (time1,time2) style

Methods for Surv objects

residuals.survreg

Compute Residuals for `survreg' Objects

Create new-style "assign" attribute

Chemotherapy for Stage B/C colon cancer

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

Kidney catheter data

Adjudicate near ties in a Surv object

Aalen's additive regression model for censored data

Return the states of a multi-state Surv object

Compute the concordance statistic for data or a model

Draw a state space figure.

summary.survexp

Summary function for a survexp object

Create data for a Fine-Gray model

Summary function for pyears objecs

Identify Stratification Variables

survreg.distributions

Parametric Survival Distributions

Parametric Survival Model Object

Assay of serum free light chain for 7874 subjects.

logLik method for a Cox model

Add Lines or Points to a Survival Plot

survival-internal

Internal survival functions

Plot an aareg object.

model.frame.coxph

Model.frame method for coxph objects

model.matrix.coxph

Model.matrix method for coxph models

Mayo Clinic Primary Biliary Cirrhosis, sequential data

print.summary.coxph

Print method for summary.coxph objects

Mayo Clinic Primary Biliary Cholangitis Data

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

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

Pseudo values for survival.

Ridge regression

Natural splines with knot heights as the basis.

quantile.survfit

Quantiles from a survfit object

Graphical Test of Proportional Hazards

print.summary.survexp

Print Survexp Summary

Regression for a Parametric Survival Model

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

survreg.control

Package options for survreg and coxph

NCCTG Lung Cancer Data

Data from the National Wilm's Tumor Study

Ancillary arguments for controlling coxph fits

Data from the 1972-78 GSS data used by Logan

Fit Proportional Hazards Regression Model

Rate table structure

Smoothing splines using a pspline basis

Convert date objects to ratetable form

Ovarian Cancer Survival Data

Compute Expected Survival

survfitcoxph.fit

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

Compute Expected Survival

Reliability data sets

Sorting order for Surv objects

Population prediction

survival-deprecated

Deprecated functions in package survival

Checks of a survival data set

Compute Royston's D for a Cox model

Compute redistribute-to-the-right weights

Test Survival Curve Differences

Survival Curve Object

Rat treatment data from Mantel et al

Verify a survreg distribution

residuals.coxph

Calculate Residuals for a `coxph' Fit

Summarize an aareg fit

Projected US Population

untangle.specials

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

Rat data from Gail et al.

Factors for person-year calculations

summary.survfit

Summary of a Survival Curve

Summary method for Cox models

Convert the format of a survfit object.

Expected Survival Curve Object

Data from a soldering experiment

More Stanford Heart Transplant data

Census Data Sets for the Expected Survival and Person Years Functions

Create survival curves

Compute a Survival Curve from a Cox model

Split a survival data set at specified times

Liver transplant waiting list

Data from a trial of usrodeoxycholic acid

Method for adding new models to the yates function.

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

survfit.formula

Compute a Survival Curve for Censored Data

Time based merge for survival data

Variance-covariance matrix

Veterans' Administration Lung Cancer study

Tobin's Tobit data