نتایج جستجو برای: causal relationship

تعداد نتایج: 604849  

Journal: Money and Economy 2016

The purpose of this study is to investigate the causal relationship between the structure and performance in the banking industry of Iran. In doing so, the data and information of public and private banks from 1996 to 2015 is examined using Toda-Yamamoto causality test (TY) and Autoregressive Distributed Lag (ARDL) approach. Herfindahl-Hirschman index (HHI) (the degree of market concentration) ...

Journal: :Journal of cognitive neuroscience 2010
Matthew J. Weber Sharon L. Thompson-Schill

Cognitive neuroscientists habitually deny that functional neuroimaging can furnish causal information about the relationship between brain events and behavior. However, imaging studies do provide causal information about those relationships-although not causal certainty. Although popular portrayals of functional neuroimaging tend to attribute too much inferential power to the technique, we shou...

حیدری, ساغر, رضایی تبار, وحید, کاوسی, امیر,

Background and Objectives: Breast cancer is the most common cancer in Iran. It can be prevented by rapid diagnosis of the disease. Thus, it is necessary to determine the causal relationships between variables related to breast cancer. Bayesian network is a data mining tool that shows the causal relationship between different variables. In this paper, a Bayesian network was applied to find causa...

Introduction: The purpose of the present study was to develop a causal model of academic satisfaction based on academic self-confidence and academic optimism mediated by cognitive strategies among male students. Methods: The research method was correlational descriptive type. The statistical population included male high school students in Hamedan in the academic year 2019-2020. The sample size...

Background and Purpose: The aim of this study was to investigate the role of borderline personality disorder (BPD) characteristics as a predictor of suicidal in patients with bipolar disorder. Method:  This research was a cross-sectional study and the people who were selected were 50 (25 women, 25 men) who were hospitalized in Shahid Beheshti hospital. They had referred to the psychiatrists an...

Real exchange rate misalignment means that the real exchange rate deviates from its equilibrium level and is the cause of many domestic and global economic problems. This index is considered as an important indicator in foreign competition and in case of adopting an inappropriate exchange rate regime; it may create economic instability and affect economic performance. This issue is important in...

2014
Ricardo Silva Robin J. Evans

One of the most fundamental problems in causal inference is the estimation of a causal effect when treatment and outcome are confounded. This is difficult in an observational study, because one has no direct evidence that all confounders have been adjusted for. We introduce a novel approach for estimating causal effects that exploits observational conditional independencies to suggest “weak” pa...

2013
Tove Fall Sara Hägg Reedik Mägi Alexander Ploner Krista Fischer Momoko Horikoshi Antti-Pekka Sarin Gudmar Thorleifsson Claes Ladenvall Mart Kals Maris Kuningas Harmen H. M. Draisma Janina S. Ried Natalie R. van Zuydam Ville Huikari Massimo Mangino Emily Sonestedt Beben Benyamin Christopher P. Nelson Natalia V. Rivera Kati Kristiansson Huei-yi Shen Aki S. Havulinna Abbas Dehghan Louise A. Donnelly Marika Kaakinen Marja-Liisa Nuotio Neil Robertson Renée F. A. G. de Bruijn M. Arfan Ikram Najaf Amin Anthony J. Balmforth Peter S. Braund Alexander S. F. Doney Angela Döring Paul Elliott Tõnu Esko Oscar H. Franco Solveig Gretarsdottir Anna-Liisa Hartikainen Kauko Heikkilä Karl-Heinz Herzig Hilma Holm Jouke Jan Hottenga Elina Hyppönen Thomas Illig Aaron Isaacs Bo Isomaa Lennart C. Karssen Johannes Kettunen Wolfgang Koenig Kari Kuulasmaa Tiina Laatikainen Jaana Laitinen Cecilia Lindgren Valeriya Lyssenko Esa Läärä Nigel W. Rayner Satu Männistö Anneli Pouta Wolfgang Rathmann Fernando Rivadeneira Aimo Ruokonen Markku J. Savolainen Eric J. G. Sijbrands Kerrin S. Small Jan H. Smit Valgerdur Steinthorsdottir Ann-Christine Syvänen Anja Taanila Martin D. Tobin Andre G. Uitterlinden Sara M. Willems Gonneke Willemsen Jacqueline Witteman Markus Perola Alun Evans Jean Ferrières Jarmo Virtamo Frank Kee David-Alexandre Tregouet Dominique Arveiler Philippe Amouyel Marco M. Ferrario Paolo Brambilla Alistair S. Hall Andrew C. Heath Pamela A. F. Madden Nicholas G. Martin Grant W. Montgomery John B. Whitfield Antti Jula Paul Knekt Ben Oostra Cornelia M. van Duijn Brenda W. J. H. Penninx George Davey Smith Jaakko Kaprio Nilesh J. Samani Christian Gieger Annette Peters H.-Erich Wichmann Dorret I. Boomsma Eco J. C. de Geus TiinaMaija Tuomi Chris Power Christopher J. Hammond Tim D. Spector Lars Lind Marju Orho-Melander Colin Neil Alexander Palmer Andrew D. Morris Leif Groop Marjo-Riitta Järvelin Veikko Salomaa Erkki Vartiainen Albert Hofman Samuli Ripatti Andres Metspalu Unnur Thorsteinsdottir Kari Stefansson Nancy L. Pedersen Mark I. McCarthy Erik Ingelsson Inga Prokopenko

BACKGROUND The association between adiposity and cardiometabolic traits is well known from epidemiological studies. Whilst the causal relationship is clear for some of these traits, for others it is not. We aimed to determine whether adiposity is causally related to various cardiometabolic traits using the Mendelian randomization approach. METHODS AND FINDINGS We used the adiposity-associated...

2004
Thomas L. Griffiths Joshua B. Tenenbaum David Lagnado Tania Lombrozo Brad Love Doug Medin Kevin Murphy David Shanks Steven Sloman

We present a framework for the rational analysis of elemental causal induction—learning about the existence of a relationship between a single cause and effect—based upon causal graphical models. This framework makes precise the distinction between causal structure and causal strength: the difference between asking whether a causal relationship exists and asking how strong that causal relations...

Journal: :Electronic Markets 2005
Stephen C. Wingreen Stephen L. Baglione

Through experimentation, we establish a causal relationship between structural assurance and both vendor trustworthiness (knowledge-based trust) and technology trustworthiness (institution-based trust). We expand the definitions of structural assurance and institution-based trust to include the element of security measures employed by the marketplace technology. Situational normality demonstrat...

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