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survival (version 3.2-13)

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

98,782

Version

3.2-13

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

August 24th, 2021

Functions in survival (3.2-13)

Convert data from timecourse to (time1,time2) style

Acute Myelogenous Leukemia survival data

Create a Survival Object

Aalen's additive regression model for censored data

Create a survival object

Cox model fitting functions

Adjudicate near ties in a Surv object

aggregate.survfit

Average survival curves

Analysis of Deviance for a Cox model.

Methods for Surv objects

Alias for the survfit function

Create new-style "assign" attribute

Chronic Granulotomous Disease data

Conditional logistic regression

Identify clusters.

Ancillary arguments for controlling coxph fits

Chronic Granulotamous Disease data

Compute the concordance

Test the Proportional Hazards Assumption of a Cox Regression

Fits proportional hazards regression model to case-cohort data

Fit Proportional Hazards Regression Model

Ddiabetic retinopathy

Confidence limits for the Poisson

Kidney catheter data

Distributions available in survreg.

Proportional Hazards Regression Object

Data from the 1972-78 GSS data used by Logan

Details of a Cox Model Fit

Bladder Cancer Recurrences

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

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

model.frame.coxph

Model.frame method for coxph objects

Random effects terms

Compute a quadratic form

Add Lines or Points to a Survival Plot

Return the states of a multi-state Surv object

Non-alcohol fatty liver disease

logLik method for a Cox model

model.matrix.coxph

Model.matrix method for coxph models

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

Bounded link functions

Chemotherapy for Stage B/C colon cancer

Graphical Test of Proportional Hazards

Plot method for survfit objects

Create data for a Fine-Gray model

Assay of serum free light chain for 7874 subjects.

Compute the concordance statistic for data or a model

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Print a Short Summary of a Survival Curve

Mayo Clinic Primary Biliary Cholangitis Data

Monoclonal gammopathy data

Verify that an object is of class ratetable.

Acute myeloid leukemia

Plot an aareg object.

Stanford Heart Transplant data

NCCTG Lung Cancer Data

Survival times of patients with multiple myeloma

print.summary.survexp

Print Survexp Summary

Monoclonal gammopathy data

predict.survreg

Predicted Values for a `survreg' Object

quantile.survfit

Quantiles from a survfit object

Predictions for a Cox model

Smoothing splines using a pspline basis

rhDNASE data set

Rate table structure

Compute Expected Survival

Ridge regression

Rat data from Gail et al.

Reliability data sets

Compute Royston's D for a Cox model

Pseudo values for survival.

Summary method for Cox models

Ovarian Cancer Survival Data

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

Summarize an aareg fit

Diabetic Retinopathy

Summary function for pyears objecs

residuals.survreg

Compute Residuals for `survreg' Objects

Identify Stratification Variables

Convert the format of a survfit object.

Expected Survival Curve Object

Draw a state space figure.

Create survival curves

survival-deprecated

Deprecated functions in package survival

Census Data Sets for the Expected Survival and Person Years Functions

Population prediction

More Stanford Heart Transplant data

Regression for a Parametric Survival Model

Natural splines with knot heights as the basis.

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

Data from a soldering experiment

survfitcoxph.fit

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

survreg.control

Package options for survreg and coxph

residuals.survfit

IJ residuals from a survfit object.

Data from the National Wilm's Tumor Study

print.summary.survfit

Print Survfit Summary

residuals.coxph

Calculate Residuals for a `coxph' Fit

survreg.distributions

Parametric Survival Distributions

Test Survival Curve Differences

Compute Expected Survival

survival-internal

Internal survival functions

untangle.specials

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

Data from a trial of usrodeoxycholic acid

Parametric Survival Model Object

Split a survival data set at specified times

Factors for person-year calculations

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

Checks of a survival data set

Verify a survreg distribution

Time based merge for survival data

Method for adding new models to the yates function.

Projected US Population

Variance-covariance matrix

Survival Curve Object

print.summary.coxph

Print method for summary.coxph objects

Convert date objects to ratetable form

Rat treatment data from Mantel et al

Print an aareg object

Compute redistribute-to-the-right weights

Compute a Survival Curve from a Cox model

survfit.formula

Compute a Survival Curve for Censored Data

summary.survexp

Summary function for a survexp object

Liver transplant waiting list

summary.survfit

Summary of a Survival Curve

Veterans' Administration Lung Cancer study

Tobin's Tobit data

Sorting order for Surv objects