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survival (version 2.37-4)

Survival Analysis

Description

survival analysis: descriptive statistics, two-sample tests, parametric accelerated failure models, Cox model. Delayed entry (truncation) allowed for all models; interval censoring for parametric models. Case-cohort designs.

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Version

Install

install.packages('survival')

Monthly Downloads

116,731

Version

2.37-4

License

LGPL (>= 2)

Maintainer

Terry Therneau

Last Published

March 27th, 2013

Functions in survival (2.37-4)

Compute the baseline survival curve for a Cox model

Identify Stratification Variables

Ancillary arguments for controling coxph fits

Test the Proportional Hazards Assumption of a Cox Regression

Kidney catheter data

Proportional Hazards Regression Object

Ovarian Cancer Survival Data

untangle.specials

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

Data from the National Wilm's Tumor Study

Monoclonal gammapothy data

Compute a Survival Curve from a Cox model

summary.survexp

Summary function for a survexp object

Chronic Granulotomous Disease data

Aalen's additive regression model for censored data

residuals.coxph

Calculate Residuals for a `coxph' Fit

Acute Myelogenous Leukemia survival data

print.summary.survfit

Print Survfit Summary

Create survival curves

Chemotherapy for Stage B/C colon cancer

Mayo Clinic Primary Biliary Cirrhosis, sequential data

survreg.control

Package options for survreg and coxph

Ratetable reference in formula

Predictions for a Cox model

Create new-style "assign" attribute

Fits proportional hazards regression model to case-cohort data

Print an aareg object

print.summary.coxph

Print method for summary.coxph objects

Smoothing splines using a pspline basis

Add Lines or Points to a Survival Plot

quantile.survfit

Quantiles from a survfit object

Regression for a Parametric Survival Model

Conditional logistic regression

Print a Short Summary of a Survival Curve

Ridge regression

Census Data Sets for the Expected Survival and Person Years Functions

residuals.survreg

Compute Residuals for `survreg' Objects

Parametric Survival Model Object

Convert date objects to ratetable form

Compute Expected Survival

Mark time tranform terms

survival-internal

Internal survival functions

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

Verify a survreg distribution

Tobin's Tobit data

Distributions available in survreg.

Mayo Clinic Primary Biliary Cirrhosis Data

Test Survival Curve Differences

model.frame.coxph

Model.frame method for coxph objects

survfitcoxph.fit

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

summary.survfit

Summary of a Survival Curve

More Stanford Heart Transplant data

Stanford Heart Transplant data

Create a Survival Object

Rat treatment data from Mantel et al

Plot method for survfit objects

Bladder Cancer Recurrences

Identify clusters.

Analysis of Deviance for a Cox model.

predict.survreg

Predicted Values for a `survreg' Object

model.matrix.coxph

Model.matrix method for coxph models

NCCTG Lung Cancer Data

Plot an aareg object.

print.summary.survexp

Print Survexp Summary

Fit Proportional Hazards Regression Model

Rat data from Gail et al.

Verify that an object is of class ratetable.

Summary method for Cox models

survreg.distributions

Parametric Survival Distributions

Random effects terms

survConcordance

Compute a concordance measure.

Survival Curve Object

Compute Expected Survival

Split a survival data set at specified times

Factors for person-year calculations

survfit.formula

Compute a Survival Curve for Censored Data

Projected US Population

Graphical Test of Proportional Hazards

Veterans' Administration Lung Cancer study

Data from the 1972-78 GSS data used by Logan

Details of a Cox Model Fit

Summarize an aareg fit