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Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Stichworte:
Interpretability, nonignorable missing data, pattern graph, safety critical, sensitivity analysis
Dewey Dezimalklassifikation:
510 Mathematik
Zeitschriftentitel:
Statistics in Medicine
Jahr:
2023
Band / Volume:
42
Jahr / Monat:
2023-09
Quartal:
3. Quartal
Monat:
Sep
Heft / Issue:
29
Seitenangaben Beitrag:
5419-5450
Sprache:
en
Volltext / DOI:
doi:10.1002/sim.9920
WWW:
Wiley
Verlag / Institution:
Wiley
E-ISSN:
0277-67151097-0258
Eingereicht (bei Zeitschrift):
27.05.2022
Angenommen (von Zeitschrift):
13.09.2023
Publikationsdatum:
27.09.2023
Semester:
SS 23
TUM Einrichtung:
Lehrstuhl für Mathematische Statistik
Format:
Text
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