Results 61 to 70 of about 13,398 (256)

Assessing misspecification of individual homogeneity assumption in multi-state models based on asymptotic theory

open access: yesJournal of Biostatistics and Epidemiology, 2015
Background & Aim: Multi-state models can help better understand the process of chronic diseases such as cancers.  These models  are influenced  by assumptions  like individual  homogeneity.
Ali Zare   +5 more
doaj  

An Alternative Sensitivity Approach for Longitudinal Analysis with Dropout

open access: yesJournal of Probability and Statistics, 2019
In any longitudinal study, a dropout before the final timepoint can rarely be avoided. The chosen dropout model is commonly one of these types: Missing Completely at Random (MCAR), Missing at Random (MAR), Missing Not at Random (MNAR), and Shared ...
Amal Almohisen   +2 more
doaj   +1 more source

Allele frequency misspecification: effect on power and Type I error of model-dependent linkage analysis of quantitative traits under random ascertainment

open access: yesBMC Genetics, 2006
Background Studies of model-based linkage analysis show that trait or marker model misspecification leads to decreasing power or increasing Type I error rate.
Wilson Alexander F   +4 more
doaj   +1 more source

Target Firm's ESG Engagement and Post–M&A Performance: The Mediating Role of Acquirer's CSR Strategy

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The paper examines whether the environmental, social and governance (ESG) performance of target firms influences both accounting‐based and market‐based corporate financial performance (CFP) within the merger and acquisition (M&A) context and whether this relationship is mediated by the acquirer's corporate social responsibility (CSR) strategy.
Francesco Gangi   +4 more
wiley   +1 more source

Can quartet analyses combining maximum likelihood estimation and Hennigian logic overcome long branch attraction in phylogenomic sequence data? [PDF]

open access: yesPLoS ONE, 2017
Systematic biases such as long branch attraction can mislead commonly relied upon model-based (i.e. maximum likelihood and Bayesian) phylogenetic methods when, as is usually the case with empirical data, there is model misspecification.
Patrick Kück   +4 more
doaj   +1 more source

Ambiguity aversion and model misspecification: an economic perspective

open access: yes, 2016
We discuss a paper published in Statistical Science by focusing on model ...
Hansen, Lars Peter, MARINACCI, MASSIMO
core   +1 more source

Strategic Shift: The Power of Green Strategy on Sustainability Performance

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Employing FTSE Russell's unique Green Revenues data on S&P 1500 firms from 2016 to 2024, this study examines the long‐term effects of a corporate strategic shift toward green strategy, proxied by green revenue reporting, on corporate sustainability performance.
Post Raj Pokharel
wiley   +1 more source

Surveillance of Pharmaceutical Risk‐Mitigation Behavior: Applying and Comparing Statistical Process Control Methods Using Real World Data

open access: yesLearning Health Systems
Introduction Active post‐marketing surveillance of prescribing behavior of high‐risk drugs may provide early warning of unforeseen issues in a population, yet analysis approaches for surveillance using real‐world data are underdeveloped.
Harris Butler   +3 more
doaj   +1 more source

Digital Orientation and Green Practices in Chilean SMEs: Innovation as the Pathway to Competitive Performance

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines how digital strategic orientation (DSO) and environmental practices (EP) interact to shape innovation and performance among Chilean SMEs. Using survey data from 271 firms (February–May 2022), we estimate a generalized structured component analysis (GSCA) model that accommodates a nonrecursive relationship between DSO and EP.
Constanza Caicha‐Caroca   +2 more
wiley   +1 more source

Structural Break Tests Robust to Regression Misspecification

open access: yesEconometrics, 2018
Structural break tests for regression models are sensitive to model misspecification. We show—analytically and through simulations—that the sup Wald test for breaks in the conditional mean and variance of a time series process exhibits severe
Alaa Abi Morshed   +2 more
doaj   +1 more source

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