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survival (version 2.43-3)

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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install.packages('survival')

Monthly Downloads

116,731

Version

2.43-3

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

November 26th, 2018

Functions in survival (2.43-3)

Analysis of Deviance for a Cox model.

Acute Myelogenous Leukemia survival data

Aalen's additive regression model for censored data

Alias for the survfit function

Adjudicate near ties in a Surv object

Create new-style "assign" attribute

Fits proportional hazards regression model to case-cohort data

Chronic Granulotomous Disease data

Test the Proportional Hazards Assumption of a Cox Regression

Bladder Cancer Recurrences

Conditional logistic regression

Fit Proportional Hazards Regression Model

Ancillary arguments for controlling coxph fits

Chronic Granulotamous Disease data

Confidence limits for the Poisson

Proportional Hazards Regression Object

Details of a Cox Model Fit

Random effects terms

Data from the 1972-78 GSS data used by Logan

Identify clusters.

Monoclonal gammopathy data

NCCTG Lung Cancer Data

Monoclonal gammopathy data

Plot an aareg object.

Graphical Test of Proportional Hazards

Plot method for survfit objects

Create data for a Fine-Gray model

Assay of serum free light chain for 7874 subjects.

rhDNASE data set

Predictions for a Cox model

Ridge regression

Compute a quadratic form

Summary function for pyears objecs

Kidney catheter data

Stanford Heart Transplant data

summary.survexp

Summary function for a survexp object

Verify that an object is of class ratetable.

Data from the National Wilm's Tumor Study

Ovarian Cancer Survival Data

Acute myeloid leukemia

Split a survival data set at specified times

Test Survival Curve Differences

Regression for a Parametric Survival Model

predict.survreg

Predicted Values for a `survreg' Object

survreg.control

Package options for survreg and coxph

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

Variance-covariance matrix

Print an aareg object

Convert date objects to ratetable form

Return the states of a multi-state Surv object

Data from a soldering experiment

Rat treatment data from Mantel et al

model.frame.coxph

Model.frame method for coxph objects

Veterans' Administration Lung Cancer study

model.matrix.coxph

Model.matrix method for coxph models

Smoothing splines using a pspline basis

print.summary.coxph

Print method for summary.coxph objects

print.summary.survexp

Print Survexp Summary

quantile.survfit

Quantiles from a survfit object

residuals.survreg

Compute Residuals for `survreg' Objects

Create a Survival Object

Rate table structure

Diabetic Retinopathy

More Stanford Heart Transplant data

Draw a state space figure.

survfit.formula

Compute a Survival Curve for Censored Data

summary.survfit

Summary of a Survival Curve

Identify Stratification Variables

Methods for Surv objects

survConcordance

Compute a concordance measure.

Chemotherapy for Stage B/C colon cancer

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

Compute the concordance statistic for data or a model

Compute Expected Survival

Ddiabetic retinopathy

Compute Expected Survival

Expected Survival Curve Object

survreg.distributions

Parametric Survival Distributions

Distributions available in survreg.

survival-internal

Internal survival functions

Census Data Sets for the Expected Survival and Person Years Functions

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

Liver transplant waiting list

Survival Curve Object

Parametric Survival Model Object

survfitcoxph.fit

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

Add Lines or Points to a Survival Plot

Sorting order for Surv objects

Data from a trial of usrodeoxycholic acid

untangle.specials

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

Projected US Population

Population prediction

Method for adding new models to the yates function.

logLik method for a Cox model

Mayo Clinic Primary Biliary Cirrhosis Data

Print a Short Summary of a Survival Curve

print.summary.survfit

Print Survfit Summary

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Rat data from Gail et al.

residuals.coxph

Calculate Residuals for a `coxph' Fit

Summarize an aareg fit

Summary method for Cox models

Create survival curves

Compute a Survival Curve from a Cox model

Verify a survreg distribution

Factors for person-year calculations

Time based merge for survival data

Tobin's Tobit data

Cox model fitting functions