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Title:

Assessable and interpretable sensitivity analysis in the pattern graph framework for nonignorable missingness mechanisms

Document type:
Zeitschriftenaufsatz
Author(s):
Zamanian, Alireza; Ahmidi, Narges; Drton, Mathias
Abstract:
The pattern graph framework solves a wide range of missing data problems with nonignorable mechanisms. However, it faces two challenges of assess ability and interpretability, particularly important in safety-critical problems such as clinical diagnosis: (i) How can one assess the validity of the framework's a priori assumption and make necessary adjustments to accommodate known information about the problem? (ii) How can one interpret the process of exponential tilting used for sensitivity anal...     »
Keywords:
Interpretability, nonignorable missing data, pattern graph, safety critical, sensitivity analysis
Dewey Decimal Classification:
510 Mathematik
Journal title:
Statistics in Medicine
Year:
2023
Journal volume:
42
Year / month:
2023-09
Quarter:
3. Quartal
Month:
Sep
Journal issue:
29
Pages contribution:
5419-5450
Language:
en
Fulltext / DOI:
doi:10.1002/sim.9920
WWW:
Wiley
Publisher:
Wiley
E-ISSN:
0277-67151097-0258
Submitted:
27.05.2022
Accepted:
13.09.2023
Date of publication:
27.09.2023
Semester:
SS 23
TUM Institution:
Lehrstuhl für Mathematische Statistik
Format:
Text
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