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survival (version 3.2-10)

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

73,883

Version

3.2-10

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

March 16th, 2021

Functions in survival (3.2-10)

Methods for Surv objects

Acute Myelogenous Leukemia survival data

Create a Survival Object

Cox model fitting functions

Aalen's additive regression model for censored data

Adjudicate near ties in a Surv object

aggregate.survfit

Average survival curves

Analysis of Deviance for a Cox model.

Create a survival object

Convert data from timecourse to (time1,time2) style

Bladder Cancer Recurrences

Create new-style "assign" attribute

Fits proportional hazards regression model to case-cohort data

Chronic Granulotamous Disease data

Identify clusters.

Conditional logistic regression

Proportional Hazards Regression Object

Details of a Cox Model Fit

Fit Proportional Hazards Regression Model

Ancillary arguments for controlling coxph fits

Assay of serum free light chain for 7874 subjects.

Create data for a Fine-Gray model

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

Alias for the survfit function

Compute a quadratic form

Random effects terms

Chronic Granulotomous Disease data

Bounded link functions

logLik method for a Cox model

Compute the concordance statistic for data or a model

Add Lines or Points to a Survival Plot

Chemotherapy for Stage B/C colon cancer

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

Monoclonal gammopathy data

Monoclonal gammopathy data

Distributions available in survreg.

Ddiabetic retinopathy

Stanford Heart Transplant data

Return the states of a multi-state Surv object

Confidence limits for the Poisson

Compute the concordance

Kidney catheter data

model.frame.coxph

Model.frame method for coxph objects

Test the Proportional Hazards Assumption of a Cox Regression

model.matrix.coxph

Model.matrix method for coxph models

Plot an aareg object.

Verify that an object is of class ratetable.

Data from the 1972-78 GSS data used by Logan

NCCTG Lung Cancer Data

print.summary.survfit

Print Survfit Summary

Data from the National Wilm's Tumor Study

Non-alcohol fatty liver disease

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Acute myeloid leukemia

Mayo Clinic Primary Biliary Cholangitis Data

Plot method for survfit objects

print.summary.coxph

Print method for summary.coxph objects

Graphical Test of Proportional Hazards

print.summary.survexp

Print Survexp Summary

Predictions for a Cox model

Ovarian Cancer Survival Data

residuals.coxph

Calculate Residuals for a `coxph' Fit

predict.survreg

Predicted Values for a `survreg' Object

Print a Short Summary of a Survival Curve

Reliability data sets

Rat treatment data from Mantel et al

Data from a soldering experiment

Print an aareg object

Rat data from Gail et al.

quantile.survfit

Quantiles from a survfit object

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

Expected Survival Curve Object

Census Data Sets for the Expected Survival and Person Years Functions

More Stanford Heart Transplant data

Summary method for Cox models

Compute Expected Survival

Compute Expected Survival

Summarize an aareg fit

Convert date objects to ratetable form

Rate table structure

residuals.survfit

IJ residuals from a survfit object.

Draw a state space figure.

residuals.survreg

Compute Residuals for `survreg' Objects

Identify Stratification Variables

Compute Royston's D for a Cox model

Compute redistribute-to-the-right weights

Natural splines with knot heights as the basis.

summary.survfit

Summary of a Survival Curve

Survival Curve Object

Convert the format of a survfit object.

Split a survival data set at specified times

Pseudo values for survival.

survfit.formula

Compute a Survival Curve for Censored Data

Create survival curves

Summary function for pyears objecs

Smoothing splines using a pspline basis

survfitcoxph.fit

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

summary.survexp

Summary function for a survexp object

Time based merge for survival data

Tobin's Tobit data

Diabetic Retinopathy

Factors for person-year calculations

Compute a Survival Curve from a Cox model

Projected US Population

untangle.specials

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

survival-deprecated

Deprecated functions in package survival

rhDNASE data set

Regression for a Parametric Survival Model

Verify a survreg distribution

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

Ridge regression

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

Test Survival Curve Differences

survival-internal

Internal survival functions

survreg.control

Package options for survreg and coxph

Checks of a survival data set

Liver transplant waiting list

Parametric Survival Model Object

survreg.distributions

Parametric Survival Distributions

Method for adding new models to the yates function.

Variance-covariance matrix

Veterans' Administration Lung Cancer study

Data from a trial of usrodeoxycholic acid

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

Sorting order for Surv objects

Population prediction