Survival Analysis

Vignettes

- Adjusted Survival Curves
- Approximating a Cox Model
- Concordance
- Discrimination and Calibration
- Multi-state models and competing risks
- Multi-state survival curves
- Other vignettes
- Population contrasts
- Roundoff error and tied times
- Splines, plots, and interactions
- The survival package
- Using Time Dependent Covariates
- Validation

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**aareg:**Aalen's additive regression model for censored data**aeqSurv:**Adjudicate near ties in a Surv object**aggregate.survfit:**Average survival curves**agreg.fit:**Cox model fitting functions**aml:**Acute Myelogenous Leukemia survival data**anova.coxph:**Analysis of Deviance for a Cox model.**attrassign:**Create new-style "assign" attribute**basehaz:**Alias for the survfit function**bladder:**Bladder Cancer Recurrences**blogit:**Bounded link functions**cch:**Fits proportional hazards regression model to case-cohort...**cgd:**Chronic Granulotamous Disease data**cgd0:**Chronic Granulotomous Disease data**cipoisson:**Confidence limits for the Poisson**clogit:**Conditional logistic regression**cluster:**Identify clusters.**colon:**Chemotherapy for Stage B/C colon cancer**concordance:**Compute the concordance statistic for data or a model**concordancefit:**Compute the concordance**coxph:**Fit Proportional Hazards Regression Model**coxph.control:**Ancillary arguments for controlling coxph fits**coxph.detail:**Details of a Cox Model Fit**coxph.object:**Proportional Hazards Regression Object**coxph.wtest:**Compute a quadratic form**coxsurv.fit:**A direct interface to the 'computational engine' of...**cox.zph:**Test the Proportional Hazards Assumption of a Cox Regression**diabetic:**Ddiabetic retinopathy**dsurvreg:**Distributions available in survreg.**finegray:**Create data for a Fine-Gray model**flchain:**Assay of serum free light chain for 7874 subjects.**frailty:**Random effects terms**gbsg:**Breast cancer data sets used in Royston and Altman (2013)**heart:**Stanford Heart Transplant data**is.ratetable:**Verify that an object is of class ratetable.**kidney:**Kidney catheter data**levels.Surv:**Return the states of a multi-state Surv object**lines.survfit:**Add Lines or Points to a Survival Plot**logan:**Data from the 1972-78 GSS data used by Logan**logLik.coxph:**logLik method for a Cox model**lung:**NCCTG Lung Cancer Data**mgus:**Monoclonal gammopathy data**mgus2:**Monoclonal gammopathy data**model.frame.coxph:**Model.frame method for coxph objects**model.matrix.coxph:**Model.matrix method for coxph models**myeloid:**Acute myeloid leukemia**myeloma:**Survival times of patients with multiple myeloma**nafld:**Non-alcohol fatty liver disease**neardate:**Find the index of the closest value in data set 2, for each...**nsk:**Natural splines with knot heights as the basis.**nwtco:**Data from the National Wilm's Tumor Study**Browse all...**

Description Usage Format Source Examples

Economists fit a parametric censored data model called the ‘tobit’. These data are from Tobin's original paper.

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A data frame with 20 observations on the following 3 variables.

- durable
Durable goods purchase

- age
Age in years

- quant
Liquidity ratio (x 1000)

J Tobin (1958),
Estimation of relationships for limited dependent variables.
*Econometrica* **26**, 24–36.

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