Results 151 to 160 of about 13,855,951 (296)

Impact of model misspecification on model-based tests in PK studies with parallel design: real case and simulation studies. [PDF]

J Pharmacokinet Pharmacodyn, 2022
Guhl M, Mercier F, Hofmann C, Sharan S, Donnelly M, Feng K, Sun W, Sun G, Grosser S, Zhao L, Fang L, Mentré F, Comets E, Bertrand J.   +13 more
europepmc   +1 more source

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

Food Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob, Azman Abdullah, Gunesh Kumar, Samreen Memon, Naila Afghan   +4 more
wiley   +1 more source

Sensitivity of Fit Indices to Model Complexity and Misspecification in Exploratory Structural Equation Modeling

Psychology International
Exploratory structural equation modeling (ESEM) allows items to cross-load on nontarget factors and provides flexibility in modeling multidimensional survey data.
Xinya Liang, Chunhua Cao, Ji Li, Ejike J. Edeh, Jiaying Chen, Wen-Juo Lo   +5 more
doaj   +1 more source

Bayesian graph selection consistency under model misspecification. [PDF]

Bernoulli (Andover), 2021
Niu Y, Pati D, Mallick BK.
europepmc   +1 more source

Spatial Econometrics Revisited: A Case Study of Land Values in Roanoke County [PDF]

Omitting spatial characteristics such as proximity to amenities from hedonic land value models may lead to spatial autocorrelation and biased and inefficient estimators.
McGuirk, Anya M., Bosch, Darrell J., Kaltsas, Ioannis K.   +2 more
core  

Misspecification of the market model: the implications for event studies

Event studies are increasingly found in the applied finance literature. They are employed to analyse the market reaction to events and thus to investigate market efficiency.
Jennifer Roberts, Terence Mills, J. Andrew Coutts   +2 more
core   +1 more source

Nonparametric Regression for Cost‐Effectiveness Analyses With Observational Data—A Tutorial

Health Economics, EarlyView.
ABSTRACT Healthcare decision‐making often requires selecting among multiple treatment options under budget constraints, particularly when one option is more effective but also more costly. Cost‐effectiveness analysis (CEA) provides a framework for evaluating whether the health benefits of a treatment justify its additional costs.
Jonas Esser, Mateus Maia, Judith E. Bosmans, Johanna Maria van Dongen   +3 more
wiley   +1 more source

Evaluating temporal aggregation effects on Ramsey’s RESET test in cryptocurrency modeling

Cogent Economics & Finance
The paper examines the statistical efficiency of Ramsey’s RESET test for detecting nonlinearity in cryptocurrency return series with varying levels of temporal aggregation, persistence settings, and sample sizes.
Christos Christodoulou-Volos, Elena Polydorou   +1 more
doaj   +1 more source

Use of the Lagrange Multiplier Test for Assessing Measurement Invariance Under Model Misspecification. [PDF]

Educ Psychol Meas, 2022
Guastadisegni L, Cagnone S, Moustaki I, Vasdekis V.   +3 more
europepmc   +1 more source

The Structure of Informal Learning in the Workplace—An Experience Sampling Approach

Human Resource Development Quarterly, EarlyView.
ABSTRACT This paper complements retrospective approaches to researching informal learning in the workplace with experience sampling. Since (conscious) informal learning is becoming increasingly important for successfully keeping pace with rapid changes in working environments, a clear understanding of the construct and its precise measurement are ...
Katja Häußermann, Tina Seufert
wiley   +1 more source