Results 321 to 330 of about 133,199 (350)
Some of the next articles are maybe not open access.
2004
Le modèle logit à coefficients aléatoires est le modèle le plus prometteur parmi les modèles de choix discrets. Il généralise le modèle logit multinomial standard et utilise des méthodes de simulation pour l'estimation du modèle. De plus, il permet d'estimer la distribution des propensions marginales à payer.
openaire +1 more source
Le modèle logit à coefficients aléatoires est le modèle le plus prometteur parmi les modèles de choix discrets. Il généralise le modèle logit multinomial standard et utilise des méthodes de simulation pour l'estimation du modèle. De plus, il permet d'estimer la distribution des propensions marginales à payer.
openaire +1 more source
Mixed logit modeling in Stata--an overview [PDF]
, 2013 The "workhorse" model for analysing discrete choice data, the conditional logit model, can be implemented in Stata using the official clogit and asclogit commands. While widely used, this model has several well-known limitations that have led researchers in various disciplines to consider more flexible alternatives.
openaire
Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
exaly
An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
exaly
Mixed logit models: accuracy and software choice
Journal of Applied Econometrics, 2010Jae Bong Chang, Jayson L. Lusk
openaire +1 more source
Self-management: Enabling and empowering patients living with cancer as a chronic illness
Ca-A Cancer Journal for Clinicians, 2011Ruth McCorkle +2 more
exaly