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survival (version 3.2-3)

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

install.packages('survival')

Monthly Downloads

98,782

Version

3.2-3

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

June 13th, 2020

Functions in survival (3.2-3)

Create a survival object

Create new-style "assign" attribute

Acute Myelogenous Leukemia survival data

Methods for Surv objects

Aalen's additive regression model for censored data

Analysis of Deviance for a Cox model.

Create a Survival Object

Alias for the survfit function

Adjudicate near ties in a Surv object

Convert data from timecourse to (time1,time2) style

Cox model fitting functions

Conditional logistic regression

Bladder Cancer Recurrences

Compute the concordance statistic for data or a model

Compute the concordance

Chemotherapy for Stage B/C colon cancer

Fit Proportional Hazards Regression Model

Random effects terms

Ancillary arguments for controlling coxph fits

Stanford Heart Transplant data

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

Fits proportional hazards regression model to case-cohort data

Compute a quadratic form

Test the Proportional Hazards Assumption of a Cox Regression

Confidence limits for the Poisson

Acute myeloid leukemia

Identify clusters.

Non-alcohol fatty liver disease

print.summary.coxph

Print method for summary.coxph objects

Chronic Granulotomous Disease data

print.summary.survexp

Print Survexp Summary

model.matrix.coxph

Model.matrix method for coxph models

Proportional Hazards Regression Object

Chronic Granulotamous Disease data

Details of a Cox Model Fit

Verify that an object is of class ratetable.

Assay of serum free light chain for 7874 subjects.

Return the states of a multi-state Surv object

Create data for a Fine-Gray model

NCCTG Lung Cancer Data

Smoothing splines using a pspline basis

Distributions available in survreg.

Ddiabetic retinopathy

Add Lines or Points to a Survival Plot

logLik method for a Cox model

Plot an aareg object.

Monoclonal gammopathy data

Graphical Test of Proportional Hazards

Monoclonal gammopathy data

print.summary.survfit

Print Survfit Summary

model.frame.coxph

Model.frame method for coxph objects

Data from the 1972-78 GSS data used by Logan

Rat data from Gail et al.

Kidney catheter data

Print a Short Summary of a Survival Curve

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

Predictions for a Cox model

survConcordance

Compute a concordance measure.

Reliability data sets

More Stanford Heart Transplant data

Summarize an aareg fit

Draw a state space figure.

Plot method for survfit objects

Identify Stratification Variables

residuals.survreg

Compute Residuals for `survreg' Objects

residuals.coxph

Calculate Residuals for a `coxph' Fit

Summary method for Cox models

summary.survexp

Summary function for a survexp object

Data from the National Wilm's Tumor Study

Summary function for pyears objecs

Survival Curve Object

Create survival curves

Convert the format of a survfit object.

Mayo Clinic Primary Biliary Cirrhosis Data

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Compute a Survival Curve from a Cox model

Ovarian Cancer Survival Data

quantile.survfit

Quantiles from a survfit object

Regression for a Parametric Survival Model

predict.survreg

Predicted Values for a `survreg' Object

Rate table structure

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

Ridge regression

Split a survival data set at specified times

survfitcoxph.fit

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

Data from a soldering experiment

Checks of a survival data set

summary.survfit

Summary of a Survival Curve

Factors for person-year calculations

Print an aareg object

Test Survival Curve Differences

survival-internal

Internal survival functions

Convert date objects to ratetable form

Tobin's Tobit data

Liver transplant waiting list

Time based merge for survival data

Population prediction

Method for adding new models to the yates function.

Data from a trial of usrodeoxycholic acid

survfit.formula

Compute a Survival Curve for Censored Data

untangle.specials

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

Compute Expected Survival

rhDNASE data set

Projected US Population

Diabetic Retinopathy

survreg.distributions

Parametric Survival Distributions

Parametric Survival Model Object

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

survreg.control

Package options for survreg and coxph

Rat treatment data from Mantel et al

Verify a survreg distribution

Variance-covariance matrix

Compute Expected Survival

Expected Survival Curve Object

Census Data Sets for the Expected Survival and Person Years Functions

Sorting order for Surv objects

Veterans' Administration Lung Cancer study