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survival (version 2.37-6)

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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Install

install.packages('survival')

Monthly Downloads

89,719

Version

2.37-6

License

LGPL (>= 2)

Maintainer

Terry Therneau

Last Published

January 16th, 2014

Functions in survival (2.37-6)

Chronic Granulotomous Disease data

Aalen's additive regression model for censored data

survreg.control

Package options for survreg and coxph

Create new-style "assign" attribute

Ancillary arguments for controling coxph fits

Cox model fitting functions

print.summary.survexp

Print Survexp Summary

Identify clusters.

Plot method for survfit objects

Create a Survival Object

Assay of serum free light chain for 7874 subjects.

Details of a Cox Model Fit

Rat data from Gail et al.

Stanford Heart Transplant data

Identify Stratification Variables

Distributions available in survreg.

Fit Proportional Hazards Regression Model

Analysis of Deviance for a Cox model.

Print a Short Summary of a Survival Curve

Compute the baseline survival curve for a Cox model

Conditional logistic regression

Add Lines or Points to a Survival Plot

Data from the National Wilm's Tumor Study

Chemotherapy for Stage B/C colon cancer

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Bladder Cancer Recurrences

Census Data Sets for the Expected Survival and Person Years Functions

Test the Proportional Hazards Assumption of a Cox Regression

Data from the 1972-78 GSS data used by Logan

model.frame.coxph

Model.frame method for coxph objects

survfit.formula

Compute a Survival Curve for Censored Data

Predictions for a Cox model

Kidney catheter data

Monoclonal gammapothy data

quantile.survfit

Quantiles from a survfit object

predict.survreg

Predicted Values for a `survreg' Object

Acute Myelogenous Leukemia survival data

Fits proportional hazards regression model to case-cohort data

Random effects terms

Compute a quadratic form

survival-internal

Internal survival functions

survfitcoxph.fit

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

Compute a Survival Curve from a Cox model

Convert date objects to ratetable form

Compute Expected Survival

Plot an aareg object.

Factors for person-year calculations

Ridge regression

print.summary.coxph

Print method for summary.coxph objects

Graphical Test of Proportional Hazards

untangle.specials

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

model.matrix.coxph

Model.matrix method for coxph models

Ratetable reference in formula

summary.survfit

Summary of a Survival Curve

residuals.coxph

Calculate Residuals for a `coxph' Fit

survreg.distributions

Parametric Survival Distributions

Projected US Population

Rat treatment data from Mantel et al

survConcordance

Compute a concordance measure.

Survival Curve Object

Print an aareg object

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

Tobin's Tobit data

Split a survival data set at specified times

Verify a survreg distribution

Proportional Hazards Regression Object

Parametric Survival Model Object

NCCTG Lung Cancer Data

Test Survival Curve Differences

Verify that an object is of class ratetable.

print.summary.survfit

Print Survfit Summary

summary.survexp

Summary function for a survexp object

Veterans' Administration Lung Cancer study

Ovarian Cancer Survival Data

residuals.survreg

Compute Residuals for `survreg' Objects

Create survival curves

Summary method for Cox models

Compute Expected Survival

Regression for a Parametric Survival Model

Summarize an aareg fit

More Stanford Heart Transplant data

Smoothing splines using a pspline basis

Mayo Clinic Primary Biliary Cirrhosis Data