---
license: mit
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- clinical-biomarkers
---

# kdmage

Klemera-Doubal biological age, trained sex-specifically on NHANES III adults aged 30-75 who were not pregnant, using the BioAge package defaults. Biomarker parameters were fit on SI-unit variants so they are natively in pyaging's unit convention, and C-reactive protein is supplied raw in mg/dL and log1p-transformed inside the clock. Sex is coded female = 1 and male = 0; a dataset with no female column scores every sample with the male parameters.

| | |
|---|---|
| **Predicts** | biological age |
| **Species** | Homo sapiens |
| **Tissue** | blood |
| **Data type** | clinical biomarkers |
| **Model type** | Klemera–Doubal composite |
| **Year** | 2021 |

## Use with pyaging

```python
import pyaging as pya

pya.pred.predict_age(adata, ["kdmage"])
```

Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io).

## Citation

Kwon, Dayoon, and Daniel W. Belsky. "A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge." GeroScience 43.6 (2021): 2795-2808.

https://doi.org/10.1007/s11357-021-00480-5