The `standsurv`

command estimates standardized survival curves and related measures. It also allows various contrasts between the standardized functions. It is a post-estimation command and can be used after fitting a wide range of survival models. These include `streg`

models (except generalized gamma), `stpm2`

models and `strcs`

models.

Note I previously developed `stpm2_standsurv`

, which only works with `stpm2`

models, but `standsurv`

superceeds that. You can do the same things with `standsurv`

and much, much more.

So some of the examples are the same as `stpm2_standsurv`

. I will add more examples soon showing some of the additional things `standsurv`

can do.

You can download a pre-release version of `standsurv`

within Stata using

```
. net from https://www.pclambert.net/downloads/standsurv
```

## Using `standsurv`

### Standard Survival Models

- Standardized survival functions and contrasts.
- Centiles of the standardized survival function.
- Restricted mean survival using standardized survival functions.
- The hazard function of the standardized survival curve.
- Estimating attributable fractions in cohort studies
- Some comments on why I am not so keen on
`stteffects`

- Why just not use
`margins`

?

### Competing Risk Models

- Standardized cause-specific cumulative incidence functions.
- Other useful standardized measures in competing risks

### Relative Survival Models

- Standardized Relative Survival.
- Loss in Expectation of Life