2.9. Covariate Distribution of True and False Positive Cases

AR Alexander D. Rowe
SS Stephanie D. Stoway
Henrik Åhlman
VA Vaneet Arora
MC Michele Caggana
AF Anna Fornari
AH Arthur Hagar
PH Patricia L. Hall
GM Gregg C. Marquardt
BM Bobby J. Miller
CN Christopher Nixon
AN Andrew P. Norgan
JO Joseph J. Orsini
RP Rolf D. Pettersen
AP Amy L. Piazza
NS Neil R. Schubauer
AS Amy C. Smith
HT Hao Tang
NT Norma P. Tavakoli
SW Sainan Wei
RZ Rolf H. Zetterström
RC Robert J. Currier
LM Lars Mørkrid
PR Piero Rinaldo
ask Ask a question
Favorite

Figure 3 shows a density plot of age at collection and birth weight of the true and false positive cases in the Validation set listed in Table 4. It clearly shows the disproportionate aggregation of false positive cases when the age at collection in newborns close to 1 h, 1 week, or <2500 g of birth weight.

Covariate distribution of the Validation set. Legend: Covariate density plot of false positive (N = 10,556) and true positive (N = 915) cases from the Validation set. (Panel A): False positives; (Panel B): True positives. Kernel density estimation (KDE) function [31] was used to calculate probability density function of each class, and it was displayed using a contour plot. The unit values are the same as the input unit values. The scale is log10 on the Y axis and linear on the X axis of the plot. Color gradients are relative to case count.

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

post Post a Question
0 Q&A