Results 41 to 50 of about 133,199 (350)

Testing Mixed Logit and Probit Models by Simulation

Transportation Research Record: Journal of the Transportation Research Board, 2005
Discrete choice models with error structures that are not independent and identically distributed have received enormous attention in the recent literature. A detailed synthetic study tests this type of model in a controlled case. With mixed logit and probit models as the study objects, calibration was implemented with the use of software available on
Munizaga, MA, Alvarez-Daziano, R
openaire   +3 more sources

Where and why do firms choose to move? Empirical evidence from Norway

Journal of Transport and Land Use, 2020
A key goal for many public policies is to increase the competitiveness of local industries and make areas more attractive for firm location and development.
Oyvind Lervik Nilsen, Trude Tørset, María Díez Gutiérrez, Elisabetta Cherchi, Stig Nyland Andersen   +4 more
doaj   +1 more source

Physician Referral Patterns to Physical Therapists for Managing Knee Osteoarthritis: A Retrospective Analysis of Electronic Health Records From an Integrated Health System

Arthritis Care &Research, EarlyView.
Objective This study aims to describe the frequency and timing of physician referrals to physical therapists (PTs) and other treatments prescribed over 12 months in patients with recent onset of knee osteoarthritis (KOA). The study also aims to identify determinants of early PT referrals.
Samannaaz S. Khoja, Joel M. Stevans, Gustavo J. Almeida, Clair Smith, Janet K. Freburger   +4 more
wiley   +1 more source

Policy sensitive mode choice analysis of Port-Said City, Egypt

Alexandria Engineering Journal, 2014
This paper aimed at developing advanced Logit discrete choice models with several individual and mode attributes affecting the prediction of individual choice.
Marwa El-Sayed El-Bany, Mohamed Maher Shahin, Ibrahim Hassan Hashim, Mohamed Sadek Serag   +3 more
doaj   +1 more source

The Mixed Logit model: The state of practice

Transportation, 2003
The mixed logit model is considered to be the most promising state of the art discrete choice model currently available. Increasingly researchers and practitioners are estimating mixed logit models of various degrees of sophistication with mixtures of revealed preference and stated choice data.
Hensher, David A., Greene, William H.
openaire   +2 more sources

Preferences for post‐traumatic osteoarthritis prevention strategies in individuals with anterior cruciate ligament injury

Arthritis Care &Research, Accepted Article.
Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy, Lily Waddell, Adam Easterbrook, Jeffrey N. Katz, Cale Jacobs, Morgan Jones, Faith Selzer, Elena Losina, Liana Fraenkel, Nick Bansback   +9 more
wiley   +1 more source

Investigating the Differences of Single-Vehicle and Multivehicle Accident Probability Using Mixed Logit Model

Journal of Advanced Transportation, 2018
Road traffic accidents are believed to be associated with not only road geometric feature and traffic characteristic, but also weather condition. To address these safety issues, it is of paramount importance to understand how these factors affect the ...
Bowen Dong, Xiaoxiang Ma, Feng Chen, Suren Chen   +3 more
doaj   +1 more source

New Onset of Fibromyalgia After Exposure to a Combat Environment: A Longitudinal Cohort Study

Arthritis Care &Research, Accepted Article.
Objective Traumatic life events are hypothesized to be triggers for the onset of fibromyalgia. Posttraumatic stress disorder (PTSD) is a common comorbidity of fibromyalgia. However, limited prospective data are available on the development of fibromyalgia after exposure to high magnitude stress.
Jay B. Higgs, Willie J. Hale, Casey L. Straud, Jim Mintz, Stacey Young‐McCaughan, Kimberly D. Gomes, Chelsea J. Sterne, Katrina M. Lawrence‐Wolff, Alan J. Bartholomew, Kevin M. Kelly, Douglas M. Maurer, Catherine Vriend, Brett T. Litz, Douglas E. Williamson, Alan L. Peterson, for the STRONG STAR Consortium   +15 more
wiley   +1 more source

Mixed Multinomial Probit Model Accommodating Flexible Covariance Structure and Random Taste Variation: An Application to Commute Mode Choice Behavior

Journal of Advanced Transportation, 2022
This paper developed a mixed multinomial probit (MMNP) model with alternative error specification and random coefficients (for both generic variables and personal attributes) to accommodate flexible covariance structure and taste variation.
Ke Wang, Xin Ye, Hongcheng Gan
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source