Results 131 to 140 of about 30,695 (301)

A Cautionary Tale of Model Misspecification and Identifiability

open access: yesBulletin of Mathematical Biology
Mathematical models are routinely applied to interpret biological data, with common goals that include both prediction and parameter estimation. A challenge in mathematical biology, in particular, is that models are often complex and non-identifiable, while data are limited.
Alexander P. Browning   +2 more
openaire   +3 more sources

Panel AR(1) estimators under misspecification

open access: yes
This short note derives the probability limits of several estimators for panel AR(1) models under misspecification using sequential asymptotics. The results show that GMM estimators based on the forward orthogonal deviation transformation converge to the
Okui, Ryo
core  

Tramadol Co‐Administration with Oxycodone or Hydrocodone Increases Opioid Burden without Improving Postoperative Pain Control

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
Tramadol is frequently co‐prescribed with oxycodone or hydrocodone after surgery under the assumption that its dual mechanism of action provides an opioid‐sparing benefit. However, evidence supporting this practice is limited and inconsistent. We conducted a secondary analysis of the multicenter IGNITE ADOPT‐PGx pragmatic trial of patients undergoing ...
Noor A. Nahid   +302 more
wiley   +1 more source

Acknowledgement Misspecification in Macroeconomic Theory [PDF]

open access: yes
We explore methods for confronting model misspecification in macroeconomics. We construct dynamic equilibria in which private agents and policy makers recognize that models are approximations.
Sargent, Thomas-J, Hansen, Lars-Peter
core  

Pharmacokinetics of Rifapentine and Desacetyl Rifapentine in Maternal Plasma and Breast Milk & Infant Cord Blood and Plasma: A Model‐Based Analysis of Mother–Infant Pairs for Tuberculosis Prevention

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
IMPAACT 2001 (NCT02651259) evaluated the safety and pharmacokinetics (PK) of once‐weekly isoniazid and rifapentine in pregnant and postpartum women for tuberculosis prevention. Rifapentine (RPT) and desacetyl rifapentine (desRPT) PK data were collected in maternal plasma, breast milk, infant cord blood, and infant plasma.
Priya Jayachandran   +18 more
wiley   +1 more source

Investigating item complexity as a source of cross-national DIF in TIMSS math and science

open access: yesLarge-scale Assessments in Education
Background Large scale international assessments depend on invariance of measurement across countries. An important consideration when observing cross-national differential item functioning (DIF) is whether the DIF actually reflects a source of bias, or ...
Qi Huang, Daniel M. Bolt, Weicong Lyu
doaj   +1 more source

Considerations for the Integration of Clinical Trials and Real‐World Data

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
As clinical decision‐making increasingly moves toward individualized and context‐specific treatment recommendations, reliance on any single evidence source, randomized or observational, may be insufficient. Principled integration of randomized controlled trials and real‐world data, grounded in explicit causal frameworks, offers a path toward evidence ...
Sky Qiu   +19 more
wiley   +1 more source

DSGE Estimation Using Generalized Empirical Likelihood and Generalized Minimum Contrast

open access: yesEntropy
We investigate the performance of estimators of the generalized empirical likelihood and minimum contrast families in the estimation of dynamic stochastic general equilibrium models, with particular attention to the robustness properties under ...
Gilberto Boaretto   +1 more
doaj   +1 more source

Minimizing Sensitivity to Model Misspecification

open access: yes
We propose a framework for estimation and inference when the model may be misspecified. We rely on a local asymptotic approach where the degree of misspecification is indexed by the sample size. We construct estimators whose mean squared error is minimax
Stéphane Bonhomme, Martin Weidner
core  

Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley   +1 more source

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