**Cox
model regression (Survival analysis)**

This module applies Cox proportional hazard
model to test for associations between risk factors and survival time.

The risk factors and outcomes can be
continuous or categorical variables.

Given a set of **outcomes**, **risk factors**
and **covariates**, this module runs
regressions for each outcome and exposure(s).

You can specify 3 different sets of
adjustment covariates, which helps to get more insight into how the
relationship of risk factor(s) and outcome will be affected by different
adjustments.

Stratified variables could be added
to direct the module to do the regressions for each group as well as for the
whole study population.

This module provides flexibility for
designing the output table format (rows and columns). You can specify the
columns by stratified subgroups, or outcomes, or exposures or models; you can
order the rows by stratified subgroups, outcomes, exposures or models.

**What
it’s used for**

This module is used to model the survival time and risk factors.

**A
screen shot of sample design:**

**Inputs:**

1. Outcome Variables

2. Risk Factors

3. Adjusting Variables (up to 3 sets)

4. Stratified Variable

**A
sample output table:**