## A data file

BEANZ accepts two types of data: Subject level raw data or Summary treatment effect data. The data should be in delimited text files.

Data files can be uploaded to BEANZ at the Upload Data page.

In Subject level raw data, each row should represent a subject with covariates that define the subgroup the subject belongs to, treatment indicator and outcome. The outcome can be binary, continuous, or time to event.

In Summary treatment effect data, each row should represent a subgroup with covariates that define the subgroup, estimated treatment effect in the subgroup and variance for the estimation.

The covariates need to be categorical.

Example of a Subject level raw data:

Age | Gender | Treatment | Responses
--- | --- | --- | ---
<60 | Female | 0 | 10.5
<60 | Male | 0 | 8.0
>60 | Female | 0 | 6.3
>60 | Male | 0 | 1.5
<60 | Female | 1 | 7.4
<60 | Male | 1 | 2.7
>60 | Female | 1 | 5.9
>60 | Male | 1 | 3.2

Example of a Summary treatment effect dataset:

Age | Gender | EffectEstimation | EffectVariance
--- | --- | --- | ---
<60 | Female | 0.45 | 0.30
<60 | Male | 0.62 | 0.17
>60 | Female | 0.25 | 0.11
>60 | Male | 0.19 | 0.12

## Specify covariate

Once the data file is uploded, identify the columns of covariates on the Subgroup Specification page.

## Select models for analysis

Choose the statistical models for the HTE analysis on the Configuration page. If you are not familiar with the models, BEANZ will run all the models on the data by default.