Nonparametric Percentile Curve Estimation for Prostate-Specific Antigen
Principal Investigator
Name
Oke Gerke
Degrees
MSc, PhD
Institution
Odense University Hospital
Position Title
Professor in Clinical Biostatistics in Diagnostic Research
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1754
Initial CDAS Request Approval
Dec 4, 2024
Title
Nonparametric Percentile Curve Estimation for Prostate-Specific Antigen
Summary
Earlier research of our group considered the derivation of nonparametric percentile curve estimation for a nonnegative marker with excessive zeros, exemplified with the Agatston score for coronary calcification (see https://pubmed.ncbi.nlm.nih.gov/35782723/ ; https://pubmed.ncbi.nlm.nih.gov/34179988/). In preparation of my DMSc thesis defense on December 12, 2024, I would like to present pecentile curves for prostate-specific antigen in the same way as I derived these earlier for the Agatston score. The reason for doing so is to exemplify the technique with another marker (meaning prostate-specific antigen) that follows quite a different distribution than the Agatston score. In screening populations, the Agatston score is often highly right-skewed with an overexpression of zeros.
Aims
- Derive nonparametric percentile curves for all percentiles 1,2,3,...,99 for prostate-specific antigen in a male screening population
- Visualize 25%, 50%, 75%, 90% percentile curves as shown in Figure 3 of https://pubmed.ncbi.nlm.nih.gov/35782723
Collaborators
None.