A note on monotonicity in repeated attempt selection models

Seunghwan Park and Michael J. Daniels

Statistics & Probability Letters, 2020, vol. 156, issue C

Abstract: 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.

Keywords: Missing data; Pattern mixture model; Repeated attempt design (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715219302317
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:156:y:2020:i:c:s0167715219302317

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2019.108585

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().