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survival (version 2.44-1)

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

80,697

Version

2.44-1

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

March 30th, 2019

Functions in survival (2.44-1)

Cox model fitting functions

Compute the concordance statistic for data or a model

Adjudicate near ties in a Surv object

Compute the concordance

Test the Proportional Hazards Assumption of a Cox Regression

Alias for the survfit function

Bladder Cancer Recurrences

Conditional logistic regression

Identify clusters.

Details of a Cox Model Fit

Kidney catheter data

Proportional Hazards Regression Object

Stanford Heart Transplant data

Return the states of a multi-state Surv object

Distributions available in survreg.

Create data for a Fine-Gray model

Add Lines or Points to a Survival Plot

Verify that an object is of class ratetable.

model.frame.coxph

Model.frame method for coxph objects

model.matrix.coxph

Model.matrix method for coxph models

Acute myeloid leukemia

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

logLik method for a Cox model

print.summary.coxph

Print method for summary.coxph objects

Smoothing splines using a pspline basis

print.summary.survexp

Print Survexp Summary

quantile.survfit

Quantiles from a survfit object

Diabetic Retinopathy

Convert date objects to ratetable form

Rat treatment data from Mantel et al

Ridge regression

rhDNASE data set

Identify Stratification Variables

Summarize an aareg fit

Compute Expected Survival

Expected Survival Curve Object

Data from a soldering experiment

Rate table structure

summary.survexp

Summary function for a survexp object

Projected US Population

survfitcoxph.fit

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

Variance-covariance matrix

summary.survfit

Summary of a Survival Curve

survConcordance

Compute a concordance measure.

Split a survival data set at specified times

survival-internal

Internal survival functions

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

Survival Curve Object

Tobin's Tobit data

Liver transplant waiting list

Data from a trial of usrodeoxycholic acid

untangle.specials

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

Population prediction

Method for adding new models to the yates function.

Fits proportional hazards regression model to case-cohort data

Analysis of Deviance for a Cox model.

Chronic Granulotamous Disease data

Assay of serum free light chain for 7874 subjects.

Create new-style "assign" attribute

Random effects terms

Monoclonal gammopathy data

Monoclonal gammopathy data

Create a Survival Object

Mayo Clinic Primary Biliary Cirrhosis Data

Chronic Granulotomous Disease data

Confidence limits for the Poisson

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Fit Proportional Hazards Regression Model

Ancillary arguments for controlling coxph fits

predict.survreg

Predicted Values for a `survreg' Object

Plot an aareg object.

Graphical Test of Proportional Hazards

Print an aareg object

print.summary.survfit

Print Survfit Summary

residuals.coxph

Calculate Residuals for a `coxph' Fit

residuals.survreg

Compute Residuals for `survreg' Objects

Methods for Surv objects

Summary method for Cox models

Print a Short Summary of a Survival Curve

Summary function for pyears objecs

Compute a quadratic form

Ddiabetic retinopathy

Rat data from Gail et al.

Reliability data sets

Data from the 1972-78 GSS data used by Logan

Census Data Sets for the Expected Survival and Person Years Functions

More Stanford Heart Transplant data

Create survival curves

Draw a state space figure.

NCCTG Lung Cancer Data

Compute a Survival Curve from a Cox model

Data from the National Wilm's Tumor Study

Ovarian Cancer Survival Data

Plot method for survfit objects

Predictions for a Cox model

Test Survival Curve Differences

survfit.formula

Compute a Survival Curve for Censored Data

Compute Expected Survival

Parametric Survival Model Object

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

Regression for a Parametric Survival Model

Veterans' Administration Lung Cancer study

Sorting order for Surv objects

Verify a survreg distribution

survreg.control

Package options for survreg and coxph

survreg.distributions

Parametric Survival Distributions

Factors for person-year calculations

Time based merge for survival data

Acute Myelogenous Leukemia survival data

Aalen's additive regression model for censored data

Chemotherapy for Stage B/C colon cancer