Percentile Intervals in Bayesian Inference are Overconfident (doi:10.18419/darus-4068)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Percentile Intervals in Bayesian Inference are Overconfident

Identification Number:

doi:10.18419/darus-4068

Distributor:

DaRUS

Date of Distribution:

2024-03-19

Version:

1

Bibliographic Citation:

Höpfl, Sebastian, 2024, "Percentile Intervals in Bayesian Inference are Overconfident", https://doi.org/10.18419/darus-4068, DaRUS, V1

Study Description

Citation

Title:

Percentile Intervals in Bayesian Inference are Overconfident

Identification Number:

doi:10.18419/darus-4068

Authoring Entity:

Höpfl, Sebastian (Universität Stuttgart)

Grant Number:

FOR 5151 - 436883643

Grant Number:

EXC 2075 - 390740016

Grant Number:

031L0304B

Grant Number:

465194077

Distributor:

DaRUS

Access Authority:

Höpfl, Sebastian

Access Authority:

Radde, Nicole

Depositor:

Höpfl, Sebastian

Date of Deposit:

2024-03-01

Holdings Information:

https://doi.org/10.18419/darus-4068

Study Scope

Keywords:

Mathematical Sciences, Medicine, Health and Life Sciences, Highest Density Interval (HDI), Highest Posterior Density (HPD), Bayesian Inference

Abstract:

<p>This dataset demonstrates the difference in calculating percentile Intervals as approximation for Highest Density Intervals (HDI) vs. Highest Posterior Density (HPD). This is demonstrated with extended partial liver resection data (ZeLeR-study, ethical vote: 2018-1246-Material).</p> The data includes Computed Tomography (CT) liver volume measurements of patients before (POD 0) and after partial hepatectomy. Liver volume was normalized per patient to the preoperative liver volume. was used to screen the liver regeneration courses. The Fujifilm Synapse3D software was used to calculate volume estimates from CT images. The data is structured in a tabular separated value file of the PEtab format.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Other Study-Related Materials

Label:

liver_resection_bayesian_inference.zip

Text:

Bayesian Inference Results of the clinical dataset using BayModTS. Results include the posterior, the PEtab problem for inference. Further the results of the HPDR vs. PI comparison are included.

Notes:

application/zip

Other Study-Related Materials

Label:

Plot_hpd_vd_hdi.py

Text:

Executable Pyhton file for the HPD vs HDI analysis. The posterior of the clinical data is calculated with the BayModTS workflow: https://github.com/Systems-Theory-in-Systems-Biology/BayModTS

Notes:

text/x-python

Other Study-Related Materials

Label:

results - broader prior validation.zip

Text:

Validation of Bayesian Inference results using a broader normal prior

Notes:

application/zip