# summary.TransModel: Summary results for fitting the linear transformation model In TransModel: Fit Linear Transformation Models for Right Censored Data

## Description

A summary table contains the coefficient estimates, standard errors, test statistics and p values in the linear transformation model.

## Usage

 ```1 2``` ```## S3 method for class 'TransModel' summary(object, ...) ```

## Arguments

 `object` An object returned from the function TransModel. `...` Other auguments to be specified for the summary function.

## Value

 `coefficients` The summary table.

## Examples

 ```1 2 3 4 5 6``` ```data(veteran) fit<-TransModel(Surv(time,status)~karno+as.factor(celltype),data=veteran,r=0,subset=(prior==0)) summary(fit) fit0<-TransModel(Surv(time,status)~1,data=veteran,r=0,subset=(prior==0)) #the null model summary(fit0) ```

### Example output

```Loading required package: survival
Call:
TransModel.default(formula = Surv(time, status) ~ karno + as.factor(celltype),
data = veteran, r = 0, subset = (prior == 0))

Estimate     StdErr z.value   p.value
karno                        -0.0243348  0.0059122 -4.1160 3.854e-05 ***
as.factor(celltype)large     -0.8586592  0.3481619 -2.4663  0.013653 *
as.factor(celltype)smallcell -0.3000100  0.2886585 -1.0393  0.298654
as.factor(celltype)squamous  -1.0686480  0.3410439 -3.1335  0.001728 **
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Call:
TransModel.default(formula = Surv(time, status) ~ 1, data = veteran,
r = 0, subset = (prior == 0))

No covariates/ null model:
n =  97
n.event =  91
```

TransModel documentation built on May 2, 2019, 6:13 a.m.