Bayesian variable selection and shrinkage strategies in a complicated modelling setting with missing data: A case study using multistate models

2020 ◽  
pp. 1471082X2092097
Author(s):  
Lauren J Beesley ◽  
Jeremy MG Taylor
Keyword(s):  
Missing Data ◽  
Variable Selection ◽  
Bayesian Variable Selection ◽  
Multistate Models ◽  
Time To Event ◽  
Shrinkage Methods ◽  
Highly Correlated ◽  
Correlated Predictors ◽  
Insight Into

Multistate modelling is a strategy for jointly modelling related time-to-event outcomes that can handle complicated outcome relationships, has appealing interpretations, can provide insight into different aspects of disease development and can be useful for making individualized predictions. A challenge with using multistate modelling in practice is the large number of parameters, and variable selection and shrinkage strategies are needed in order for these models to gain wider adoption. Application of existing selection and shrinkage strategies in the multistate modelling setting can be challenging due to complicated patterns of data missingness, inclusion of highly correlated predictors and hierarchical parameter relationships. In this article, we discuss how to modify and implement several existing Bayesian variable selection and shrinkage methods in a general multistate modelling setting. We compare the performance of these methods in terms of parameter estimation and model selection in a multistate cure model of recurrence and death in patients treated for head and neck cancer. We can view this work as a case study of variable selection and shrinkage in a complicated modelling setting with missing data.

scholarly journals An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors

2011 ◽  
Vol 55 (10) ◽  
pp. 2807-2818 ◽  
Author(s):  
Deukwoo Kwon ◽  
Maria Teresa Landi ◽  
Marina Vannucci ◽  
Haleem J. Issaq ◽  
DaRue Prieto ◽  
...  
Keyword(s):  
Variable Selection ◽  
Bayesian Variable Selection ◽  
Stochastic Search ◽  
High Dimensional ◽  
Correlated Predictors

Margins and Modernity: A Geocritical Approach to Anna Seward's Llangollen Vale

Romanticism ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 69-80
Author(s):  
Ruth Knezevich
Keyword(s):  
Analytic Approach ◽  
Romantic Era ◽  
Insight Into

The genre of annotated verse represents an under-explored form of transporting romanticism. In annotated, locodescriptive poems like those in Anna Seward's Llangollen Vale, readers are invited to read not only the spatiality of the landscapes depicted in the verse but also the landscape of the page itself. Seward's poems, with their focus on understanding geographical, political, and historical spaces both real and imaginary, provide geocritical insight into poetic productions of the early Romantic era. Likewise, geocriticism offers a fresh and useful – even necessary – analytic approach to such poems. I adopt Anna Seward as a case study in annotated verse and argue that attending to the materiality and paratextuality of her work allows us to access the complexities of her poetry and prose as well as her position within the wider framework of transporting Romanticism.

Transformative Encounters and Uncanny Intimacies: Biotechnology and Contemporary Art – A Practitioner's Approach and Perspective

Somatechnics ◽  
2012 ◽  
Vol 2 (2) ◽  
pp. 263-283 ◽  
Author(s):  
Svenja J. Kratz
Keyword(s):  
Tissue Culture ◽  
Human Skin ◽  
Contemporary Art ◽  
Skin Equivalent ◽  
Biomedical Innovation ◽  
Equivalent Models ◽  
Science Projects ◽  
Insight Into ◽  
Human Skin Equivalent

Abstract: Presented from an ArtScience practitioner's perspective, this paper provides an overview of Svenja Kratz's experience working as an artist within the area of cell and tissue culture at QUT's Institute of Health and Biomedical Innovation (IHBI). Using The Absence of Alice, a multi-medium exhibition based on the experience of culturing cells, as a case study, the paper gives insight into the artist's approach to working across art and science and how ideas, processes, and languages from each discipline can intermesh and extend the possibilities of each system. The paper also provides an overview of her most recent artwork, The Human Skin Equivalent/Experience Project, which involves the creation of personal jewellery items incorporating human skin equivalent models grown from the artist's skin and participant cells. Referencing this project, and other contemporary bioart works, the value of ArtScience is discussed, focusing in particular on the way in which cross-art-science projects enable an alternative voice to enter into scientific dialogues and have the potential to yield outcomes valuable to both disciplines.

Improving Practices for Selecting a Subset of Important Predictors in Psychology: An Application to Predicting Pain

2019 ◽  
Author(s):  
Sierra Bainter ◽  
Thomas Granville McCauley ◽  
Tor D Wager ◽  
Elizabeth Reynolds Losin
Keyword(s):  
Variable Selection ◽  
Bayesian Variable Selection ◽  
Limited Information ◽  
Online Application ◽  
Stochastic Search Variable Selection ◽  
Selection Approach ◽  
Pain Ratings ◽  
Research Questions ◽  
Standard Techniques ◽  
Search Variable

In this paper we address the problem of selecting important predictors from some larger set of candidate predictors. Standard techniques are limited by lack of power and high false positive rates. A Bayesian variable selection approach used widely in biostatistics, stochastic search variable selection, can be used instead to combat these issues by accounting for uncertainty in the other predictors of the model. In this paper we present Bayesian variable selection to aid researchers facing this common scenario, along with an online application (https://ssvsforpsych.shinyapps.io/ssvsforpsych/) to perform the analysis and visualize the results. Using an application to predict pain ratings, we demonstrate how this approach quickly identifies reliable predictors, even when the set of possible predictors is larger than the sample size. This technique is widely applicable to research questions that may be relatively data-rich, but with limited information or theory to guide variable selection.

A Novel Integrated Reliability Test System for BEOL TDDB Study

2012 ◽  
Author(s):  
Jifeng Chen ◽  
Peilin Song ◽  
Thomas M. Shaw ◽  
Franco Stellari ◽  
Lynne Gignac ◽  
...  
Keyword(s):  
Preliminary Analysis ◽  
Dielectric Breakdown ◽  
Test System ◽  
Accurate Information ◽  
Reliability Test ◽  
Electrical Measurements ◽  
Time Dependent Dielectric Breakdown ◽  
Microscopy Images ◽  
Insight Into

Abstract In this paper, we propose a new methodology and test system to enable the early detection and precise localization of Time-Dependent-Dielectric-Breakdown (TDDB) occurrence in Back-End-of-Line (BEOL) interconnection. The methodology is implemented as a novel Integrated Reliability Test System (IRTS). In particular, through our methodology and test system, we can easily synchronize electrical measurements and emission microscopy images to gather more accurate information and thereby gain insight into the nature of the defects and their relationship to chip manufacturing steps and materials, so that we can ultimately better engineer these steps for higher reliable systems. The details of our IRTS will be presented along with a case study and preliminary analysis results.

Radical Subject Acceleration for Gifted Students: One School's Response

2019 ◽  
pp. 29-46
Author(s):  
Kaye Chalwell ◽  
Therese Cumming
Keyword(s):  
Gifted And Talented ◽  
Gifted Students ◽  
Subject Area ◽  
Lessons Learned ◽  
Gifted Student ◽  
Learning Needs ◽  
Mathematically Gifted ◽  
Support Students ◽  
Insight Into

Radical subject acceleration, or moving students through a subject area faster than is typical, including skipping grades, is a widely accepted approach to support students who are gifted and talented. This is done in order to match the student’s cognitive level and learning needs. This case study explored radical subject acceleration for gifted students by focusing on one school’s response to the learning needs of a ten year old mathematically gifted student. It provides insight into the challenges, accommodations and approach to radical subject acceleration in an Australian school. It explored the processes and decisions made to ensure that a gifted student’s learning needs were met and identified salient issues for radical subject acceleration. Lessons learned from this case study may be helpful for schools considering radical acceleration.

Ethnic Enterprises, Class Resources and Market Conditions: Indian owned SMEs in Malaysia

2018 ◽  
Vol 35 (2) ◽  
pp. 5-29
Author(s):  
JESRINA ANN XAVIER ◽  
EDMUND TERENCE GOMEZ
Keyword(s):  
Food Industry ◽  
Case Study Method ◽  
Market Conditions ◽  
New Generation ◽  
Insight Into

This article investigates changes in the conduct of ethnic enterprises followingthe emergence of a new generation of owners with varying class resources andas market conditions transform. The case study method is used to examinethe impact of changing class resources and market conditions on ethnicallybasedenterprises, exploring the effects of generational transitions among smallIndian owned companies in the food industry in Malaysia. The results providean insight into key changes in the evolution of Indian owned enterprises. Theyindicate that changes in class resources and market conditions have enabledIndian owned food-based companies to alter their products to fit a largermarket, while responding to the demands of a rapidly modernizing society.

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