A note on monotonicity in repeated attempt selection models

Park, Seunghwan; Daniels, Michael J.

doi:10.1016/j.spl.2019.108585

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A note on monotonicity in repeated attempt selection models

Park, Seunghwan;
Daniels, Michael J.

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초록

Study designs where follow-up samples are collected through multiple attempts have been called repeated attempts designs. In this note we explore the monotonicity thought to underlie the models fit for these designs and show it does not always hold. (C) 2019 Elsevier B.V. All rights reserved.

키워드

Missing data; Pattern mixture model; Repeated attempt design

제목: A note on monotonicity in repeated attempt selection models

저자: Park, Seunghwan; Daniels, Michael J.

DOI: 10.1016/j.spl.2019.108585

발행일: 2020-01

유형: Article

저널명: Statistics and Probability Letters

권: 156