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survival (version 2.38-3)

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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Version

Install

install.packages('survival')

Monthly Downloads

132,377

Version

2.38-3

License

LGPL (>= 2)

Maintainer

Last Published

July 2nd, 2015

Functions in survival (2.38-3)

Convert date objects to ratetable form

print.summary.survexp

Print Survexp Summary

Print an aareg object

Test the Proportional Hazards Assumption of a Cox Regression

Stanford Heart Transplant data

Ratetable reference in formula

Rat treatment data from Mantel et al

Create new-style "assign" attribute

Bladder Cancer Recurrences

Identify Stratification Variables

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

Compute a quadratic form

untangle.specials

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

Conditional logistic regression

Fits proportional hazards regression model to case-cohort data

logLik method for a Cox model

Assay of serum free light chain for 7874 subjects.

Data from the 1972-78 GSS data used by Logan

Print a Short Summary of a Survival Curve

Chronic Granulotomous Disease data

Kidney catheter data

summary.survexp

Summary function for a survexp object

Ancillary arguments for controling coxph fits

survfit.formula

Compute a Survival Curve for Censored Data

Add Lines or Points to a Survival Plot

Graphical Test of Proportional Hazards

survfitcoxph.fit

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

Create survival curves

residuals.survreg

Compute Residuals for `survreg' Objects

Tobin's Tobit data

predict.survreg

Predicted Values for a `survreg' Object

model.frame.coxph

Model.frame method for coxph objects

Verify that an object is of class ratetable.

Census Data Sets for the Expected Survival and Person Years Functions

Summary method for Cox models

Survival Curve Object

Veterans' Administration Lung Cancer study

Ridge regression

Acute Myelogenous Leukemia survival data

Fit Proportional Hazards Regression Model

Projected US Population

Mayo Clinic Primary Biliary Cirrhosis Data

Liver transplant waiting list

More Stanford Heart Transplant data

Proportional Hazards Regression Object

residuals.coxph

Calculate Residuals for a `coxph' Fit

NCCTG Lung Cancer Data

Regression for a Parametric Survival Model

survreg.control

Package options for survreg and coxph

Parametric Survival Model Object

survreg.distributions

Parametric Survival Distributions

survConcordance

Compute a concordance measure.

Create a Survival Object

Aalen's additive regression model for censored data

Data from the National Wilm's Tumor Study

Smoothing splines using a pspline basis

Plot method for survfit objects

Alias for the survfit function

Factors for person-year calculations

Test Survival Curve Differences

Analysis of Deviance for a Cox model.

Split a survival data set at specified times

Distributions available in survreg.

model.matrix.coxph

Model.matrix method for coxph models

Chronic Granulotomous Disease data

Cox model fitting functions

Plot an aareg object.

Monoclonal gammapothy data

print.summary.survfit

Print Survfit Summary

survival-internal

Internal survival functions

summary.survfit

Summary of a Survival Curve

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

Time based merge for survival data

Predictions for a Cox model

Monoclonal gammapothy data

Rat data from Gail et al.

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Compute Expected Survival

Compute Expected Survival

Compute a Survival Curve from a Cox model

Verify a survreg distribution

Chemotherapy for Stage B/C colon cancer

Identify clusters.

Details of a Cox Model Fit

Random effects terms

print.summary.coxph

Print method for summary.coxph objects

quantile.survfit

Quantiles from a survfit object

Ovarian Cancer Survival Data

Summarize an aareg fit