Human biomonitoring involves monitoring human health by measuring the accumulation of
harmful chemicals, typically in specimens like blood samples. The high cost of chemical …

We develop parametric estimators of a conditional prevalence in the group testing context.
Group testing is applied when a binary outcome variable, often a disease indicator, is …

Human biomonitoring involves measuring the accumulation of contaminants in biological
specimens (such as blood or urine) to assess individuals' exposure to environmental …

Background: Kernel-based methods have gained popularity as employed model residual's
distribution might not be defined by any classical parametric distribution. Kernel-based …

Estimating the prevalence of an infectious disease in a big population typically requires
testing a specimen (eg blood, urine or swab) for the disease. When the disease spreads …

We propose local polynomial estimators for the conditional mean of a continuous response
when only pooled response data are collected under different pooling designs. Asymptotic …

In epidemiological applications, individual specimens (eg, blood, urine, etc.) are often
pooled together to detect the presence of disease or to measure the concentration level of a …

The error-in-covariates problem has received great attention among researchers who study
semiparametric and nonparametric inference for regression models over the past two …