Group testing, through the use of pooling, has proven to be an efficient method of reducing
the time and cost associated with screening for a binary characteristic of interest, such as …

We consider nonparametric and semiparametric estimation of a conditional probability curve
in the case of group testing data, where the individuals are pooled randomly into groups and …

Group testing, through the use of pooling, has been widely implemented as a more efficient
means to screen individuals for infectious diseases. Typically, in these settings, practitioners …

Group (pooled) testing is becoming a popular strategy for screening large populations for
infectious diseases. This popularity is owed to the cost savings that can be realized through …

Group testing is a technique employed in large screening studies involving infectious
disease, where individuals in the study are grouped before being observed. Parametric and …

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 …

When screening for infectious diseases, group testing has proven to be a cost efficient
alternative to individual level testing. Cost savings are realized by testing pools of individual …

In the group testing procedure, several individual samples are grouped and the pooled
samples, instead of each individual sample, are tested for outcome status (eg, infectious …

For low prevalence disease, we consider estimation of the odds ratio for two specified
groups of individuals using group testing data. Broadly the two groups may be classified as …

Laboratory assays used to evaluate biomarkers (biological markers) are often prohibitively
expensive. As an efficient data collection mechanism to save on testing costs, pooling has …