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survival (version 3.1-12)

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

3.1-12

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

April 10th, 2020

Functions in survival (3.1-12)

Alias for the survfit function

Compute the concordance

Conditional logistic regression

Fits proportional hazards regression model to case-cohort data

Chronic Granulotomous Disease data

Identify clusters.

Add Lines or Points to a Survival Plot

Fit Proportional Hazards Regression Model

Confidence limits for the Poisson

Ddiabetic retinopathy

Compute a quadratic form

Chronic Granulotamous Disease data

Test the Proportional Hazards Assumption of a Cox Regression

Monoclonal gammopathy data

Ancillary arguments for controlling coxph fits

Create new-style "assign" attribute

Distributions available in survreg.

Acute Myelogenous Leukemia survival data

Return the states of a multi-state Surv object

NCCTG Lung Cancer Data

Non-alcohol fatty liver disease

print.summary.survexp

Print Survexp Summary

Compute Expected Survival

Stanford Heart Transplant data

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

Mayo Clinic Primary Biliary Cirrhosis Data

More Stanford Heart Transplant data

Assay of serum free light chain for 7874 subjects.

Create data for a Fine-Gray model

Proportional Hazards Regression Object

Chemotherapy for Stage B/C colon cancer

Plot method for survfit objects

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

logLik method for a Cox model

Random effects terms

Convert date objects to ratetable form

Summary method for Cox models

Identify Stratification Variables

Data from the National Wilm's Tumor Study

Rat treatment data from Mantel et al

print.summary.coxph

Print method for summary.coxph objects

Data from the 1972-78 GSS data used by Logan

Predictions for a Cox model

Ovarian Cancer Survival Data

Monoclonal gammopathy data

Diabetic Retinopathy

print.summary.survfit

Print Survfit Summary

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Checks of a survival data set

Data from a trial of usrodeoxycholic acid

summary.survfit

Summary of a Survival Curve

Compute the concordance statistic for data or a model

Convert the format of a survfit object.

model.frame.coxph

Model.frame method for coxph objects

survfitcoxph.fit

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

quantile.survfit

Quantiles from a survfit object

Plot an aareg object.

Summarize an aareg fit

Reliability data sets

survival-internal

Internal survival functions

Projected US Population

Print a Short Summary of a Survival Curve

Ridge regression

Rate table structure

Smoothing splines using a pspline basis

Tobin's Tobit data

Test Survival Curve Differences

Verify that an object is of class ratetable.

Details of a Cox Model Fit

Regression for a Parametric Survival Model

Liver transplant waiting list

Expected Survival Curve Object

Summary function for pyears objecs

residuals.survreg

Compute Residuals for `survreg' Objects

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

Draw a state space figure.

Variance-covariance matrix

predict.survreg

Predicted Values for a `survreg' Object

Kidney catheter data

residuals.coxph

Calculate Residuals for a `coxph' Fit

model.matrix.coxph

Model.matrix method for coxph models

Compute Expected Survival

Acute myeloid leukemia

Graphical Test of Proportional Hazards

Rat data from Gail et al.

Veterans' Administration Lung Cancer study

survConcordance

Compute a concordance measure.

Survival Curve Object

survreg.distributions

Parametric Survival Distributions

summary.survexp

Summary function for a survexp object

Factors for person-year calculations

Split a survival data set at specified times

rhDNASE data set

Compute a Survival Curve from a Cox model

Create survival curves

Sorting order for Surv objects

Data from a soldering experiment

Time based merge for survival data

Census Data Sets for the Expected Survival and Person Years Functions

Print an aareg object

Parametric Survival Model Object

Verify a survreg distribution

survfit.formula

Compute a Survival Curve for Censored Data

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

survreg.control

Package options for survreg and coxph

Population prediction

Method for adding new models to the yates function.

untangle.specials

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

Create a Survival Object

Adjudicate near ties in a Surv object

Bladder Cancer Recurrences

Cox model fitting functions

Aalen's additive regression model for censored data

Analysis of Deviance for a Cox model.

Methods for Surv objects