Results 231 to 240 of about 172,160 (270)

Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies

Ca-A Cancer Journal for Clinicians, 2022
Paolo Tarantino, Roberto Carmagnani Pestana, Shanu Modi   +2 more
exaly  

A review of estimators for the fixed-effects ordered logit model [PDF]

, 2011
It is well-known that the dummy variable estimator for the fixed-effects ordered logit model is inconsistent when T, the dimension of the panel, is fixed. This talk will review a range of alternative fixed-effects ordered logit estimators that are based on Chamberlain's fixed-effects estimator for the binary logit model.
Arne Risa Hole, Andy Dickerson, Luke Munford   +2 more
openaire  

Severity analysis for large truck rollover crashes using a random parameter ordered logit model.

Accident Analysis and Prevention, 2019
Ghazaleh Azimi, Alireza Rahimi, H. Asgari, Xia Jin   +3 more
semanticscholar   +1 more source

Driver drowsiness detection using mixed-effect ordered logit model considering time cumulative effect

, 2020
Xuxin Zhang, Xuesong Wang, Xiaohan Yang, Chuan Xu, Xiaohui Zhu, Jiaohua Wei   +5 more
semanticscholar   +1 more source

Factor assessment of hazardous cargo ship berthing accidents using an ordered logit regression model

Ocean Engineering, 2023
R. Khan, Jingbo Yin, Faluk Shair Mustafa, Wenming Shi   +3 more
semanticscholar   +1 more source

Analysis of pedestrian-two-wheeler conflicts at green light digital countdown signals: A random parameter ordered logit model approach.

Accident Analysis and Prevention
Jianrong Liu, Xinyu Chen
semanticscholar   +1 more source

An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy, Donna R Rivera, Jennifer L Lund, Msph   +2 more
exaly  

Ordered Multi-Category Logits Model Under Dirichlet Distribution

The Korean Data Analysis Society, 2021
openaire   +1 more source

Interpreting and using heterogeneous choice and generalized ordered logit models [PDF]

, 2006
The assumptions of the ordered logit/probit models estimated by ologit and oprobit are often violated. When an ordinal regression model incorrectly assumes that error variances are the same for all cases, the standard errors are wrong and (unlike OLS regression) the parameter estimates are biased.
openaire  

Ordered LOGIT Model approach for the determination of financial distress.

Bulletin de la Societe des sciences medicales du Grand-Duche de Luxembourg, 2010
Nowadays, as a result of the global competition encountered, numerous companies come up against financial distresses. To predict and take proactive approaches for those problems is quite important. Thus, the prediction of crisis and financial distress is essential in terms of revealing the financial condition of companies.
openaire   +1 more source