Results 61 to 70 of about 15,773 (265)

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

Journal 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, Mahmood Mahmoodi, Kazem Mohammad, Hojjat Zeraati, Mostafa Hosseini, Kourosh Holakouie-Naieni   +5 more
doaj  

Rank‐based estimation of propensity score weights via subclassification

Canadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang, Yuexia Zhang, Thomas S. Richardson, Xiaohua Zhou   +3 more
wiley   +1 more source

Shaking the trees: Abilities and Capabilities of Regression and Decision Trees for Political Science

ITM Web of Conferences, 2017
When committing to quantitative political science, a researcher has a wealth of methods to choose from. In this paper we compare the established method of analyzing roll call data using W-NOMINATE scores to a data-driven supervised machine learning ...
Waldhauser Christoph, Hochreiter Ronald
doaj   +1 more source

The relationship between excess returns, firm size and earnings on the Johannesburg Stock Exchange

South African Journal of Business Management, 1991
While considerable empirical work has been conducted in the United States concerning excess returns and the relationship of these returns to firm size and E/P ratio, thus far, there have been few similar empirical studies conducted using Johannesburg ...
Michael J. Page, Francis Palmer
doaj   +1 more source

A goodness‐of‐fit test for regression models with discrete outcomes

Canadian Journal of Statistics, EarlyView.
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang, Christian Genest, Johanna G. Nešlehová   +2 more
wiley   +1 more source

Genetic model misspecification in genetic association studies

BMC Research Notes, 2017
Objective The underlying model of the genetic determinant of a trait is generally not known with certainty a priori. Hence, in genetic association studies, a dominant model might be erroneously modelled as additive, an error investigated previously.
Amadou Gaye, Sharon K. Davis
doaj   +1 more source

The Visual Predictive Check and Real‐World Data

Clinical Pharmacology &Therapeutics, EarlyView.
The visual predictive check (VPC) is a standard tool for assessing pharmacometric model suitability, producing visualizations that compare observed data with simulated data such that both model structure and model variability terms can be assessed. However, real‐world data commonly reflect clinical decision‐making that adapts therapy in response to ...
Jasmine H. Hughes, Martin Bergstrand, Ron J. Keizer   +2 more
wiley   +1 more source

Longitudinal mediation analysis with multilevel and latent growth models: a separable effects causal approach

BMC Medical Research Methodology
Background Causal mediation analysis is widespread in applied medical research, especially in longitudinal settings. However, estimating natural mediational effects in such contexts is often difficult because of the presence of post-treatment confounding.
Chiara Di Maria, Vanessa Didelez
doaj   +1 more source

CEO Overconfidence, Industry Competition, and ESG Performance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the interplay among CEO overconfidence, industry competition, and firms' ESG (Environmental, Social, and Governance) performance. With the growing importance of ESG management, firms are investing more in ESG initiatives as a strategic approach to mitigating downside risk. However, overconfident CEOs, characterized by their
Taehyung Kim, Jaeseog Na
wiley   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Deep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He   +4 more
wiley   +1 more source