Details

Autor(en) / Beteiligte

• Nadeem, Hira
• Ejaz Ahmed, S.
• Volodin, Andrei

Titel

Confidence intervals for the cross product ratio under the special case of direct-inverse sampling scheme and its applications

Ist Teil von

• Journal of statistical computation and simulation, 2023-11, Vol.93 (17), p.3203-3216

Ort / Verlag

Abingdon: Taylor & Francis

Erscheinungsjahr

2023

Quelle

Taylor & Francis Journals Auto-Holdings Collection

Beschreibungen/Notizen

• This article focuses on the estimation of the cross-product ratio under so-called special case of the direct-inverse sampling scheme, where the number of successes in the direct sampling scheme is used in the second sampling scheme of the inverse binomial scheme. Asymptotic confidence intervals are constructed. Our goal is to investigate the cases when the normal approximations for estimators of the cross-product ratio are reliable for the construction of confidence intervals. We use the closeness of the confidence coefficient to the nominal confidence level as our main evaluation criterion, and use the Monte-Carlo method to investigate the key probability characteristics of intervals. We present estimations of the coverage probability and interval width in tables. In the last section, Cytochrome Psychotropic Genotyping Under Investigation for Decision Support case study is discussed where the standard and genetically guided therapy is compared and estimates for the cross-product ratio are presented and interpreted when the participants are enrolled according to the special case of the direct-inverse sampling scheme.