Results 81 to 90 of about 6,120,728 (295)
Analysis of Mixed Outcomes: Misclassified Binary Responses and Measurement Error in Covariates [PDF]
The focus of this paper is on regression models for mixed binary and continuous outcomes, when the true predictor is measured with error and the binary responses are subject to classification errors.
Banerjee, Tathagata, Roy Surupa
core
Dynamic time series binary choice [PDF]
This paper considers dynamic time series binary choice models. It proves near epoch dependence and strong mixing for the dynamic binary choice model with correlated errors.
Robert M. de Jong, Tiemen Woutersen
core +2 more sources
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Alternative versions of the RESET test for binary response index models: a comparative study [PDF]
Binary response index models may be affected by several forms of misspecification, which range from pure functional form problems (e.g. incorrect specification of the link function, neglected heterogeneity, heteroskedasticity) to various types of ...
Joaquim Ramalho, Esmeralda A. Ramalho
core
Binary logistic regression analysis
Psychiatry and Behavioral Sciences, 2015 In statistics, binary logistic regression analysis is a regression model where the dependent variable is a dichotomous categorical variable. The binary logistic model is used to estimate the probability of a binary response based on one or more ...
Selim Kılıc
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay +13 more
wiley +1 more source
ENTROPY-BASED ESTIMATION AND INFERENCE IN BINARY RESPONSE MODELS UNDER ENDOGENEITY [PDF]
This paper considers estimation and inference for the binary response model in the case where endogenous variables are included as arguments of the unknown link function.
Miller, Douglas J. +2 more
core
Sentimentality in the Suburban Ensemble Dramedy: A Response to Berlant’s Optimism-Realism Binary
Forum, 2015 Lauren Berlant has famously problematised the sense of communal belonging wrought by sentimental humanism, yet in so doing has presumed a binary between optimism and realism, and tendered new strictures on acceptable affect.
Wyatt Moss-Wellington
doaj +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro +14 more
wiley +1 more source
Testing an autoregressive structure in binary time series models [PDF]
This paper introduces a Lagrange Multiplier (LM) test for testing an autoregressive structure in a binary time series model proposed by Kauppi and Saikkonen (2008). Simulation results indicate that the two versions of the proposed LM test have reasonable
Henri Nyberg
core