Results 41 to 50 of about 116,197 (306)
BMC Medical Research Methodology, 2008 Background Additional insights into patient preferences can be gained by supplementing discrete choice experiments with best-worst choice tasks. However, there are no empirical studies illustrating the relative advantages of the various methods of ...
Peters Tim J +3 more
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Dynamic Discrete Choice Structural Models: A Survey [PDF]
SSRN Electronic Journal, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Victor Aguirregabiria, Pedro mira
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Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
Molecular Oncology, EarlyView.COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source
Congestion toll pricing and commercial land-use: clients' and vendors' perspective
TeMA: Journal of Land Use, Mobility and Environment, 2021 This study outlines the effects of congestion toll pricing on commercial land-uses (CLUs) through studying the temporary and permanent impacts of client behavior on the CLUs.
Mahmoud Saffarzadeh +2 more
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Discrete Choice Modeling [PDF]
, 2009 We detail the basic theory for models of discrete choice. This encompasses methods of estimation and analysis of models with discrete dependent variables. Entry level theory is presented for the practitioner. We then describe a few of the recent, frontier developments in theory and practice.
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Semi-Supervised Learning for Discrete Choice Models [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2019 We introduce a semi-supervised discrete choice model to calibrate discrete choice models when relatively few requests have both choice sets and stated preferences but the majority only have the choice sets. Two classic semi-supervised learning algorithms, the expectation maximization algorithm and the cluster-and-label algorithm, have been adapted to ...
Jie Yang 0045 +2 more
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Molecular Oncology, EarlyView.Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Incorporating Discontinuous Preferences into the Analysis of Discrete Choice Experiments
, 2007 Discontinuous preferences, Discrete choice experiments, Multinomial error component logit model, Rural environmental landscapes, Willingness to pay,
Scarpa, R. +12 more
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Dynamic Discrete Choice Models: Methods, Matlab Code, and Exercises
, 2020 Matlab package for teaching and learning the econometrics of dynamic discrete choice models. See http://ddc.abbring.org for extensive documentation and exercises. See https://github.com/jabbring/dynamic-discrete-choice for a public Github repository.
Jaap H. Abbring, Tobias J. Klein
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A NEW APPROACH TO THE ANALYSIS OF VISITOR PERCEPTIONS TOWARDS A TOURISM DESTINATION: THE ROLE OF FOOD AND WINE EXPERIENCES [PDF]
Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development, 2013 The study aims to propose a new approach to analyse visitor perceptions and experiences in a tourism destination. The purpose is to discuss how the discrete choice models can contribute to the analysis of the tourism destination in the visitor experience
Roberta CAPITELLO +2 more
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