Results 91 to 100 of about 644,547 (283)

Estimating causal structure using conditional DAG models

, 2014
This paper considers inference of causal structure in a class of graphical models called "conditional DAGs". These are directed acyclic graph (DAG) models with two kinds of variables, primary and secondary. The secondary variables are used to aid in estimation of causal relationships between the primary variables.
Oates, Chris J., Smith, Jim Q., Mukherjee, Sach   +2 more
openaire   +2 more sources

A time series causal model [PDF]

Cause-effect relations are central in economic analysis. Uncovering empirical cause-effect relations is one of the main research activities of empirical economics.
Chen, Pu
core   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Distributed-lag Linear Structural Equation Models in R: the dlsem Package

Austrian Journal of Statistics, 2019
In this paper, an extension of linear Markovian structural causal models is introduced, called distributed-lag linear structural equation models (DLSEMs), where each factor of the joint probability distribution is a distributed-lag linear regression with
Alessandro Magrini
doaj   +1 more source

Distribution-consistency Structural Causal Models

In the field of causal modeling, potential outcomes (PO) and structural causal models (SCMs) stand as the predominant frameworks. However, these frameworks face notable challenges in practically modeling counterfactuals, formalized as parameters of the joint distribution of potential outcomes.
Gong, Heyang, Lu, Chaochao, Zhang, Yu
openaire   +2 more sources

Inferring causal relations by modelling structures

Statistica, 2010
Statistica; Vol 70, No 4 (2010); 411 ...
Mouchart M, RUSSO, Federica, Wunsch G.
openaire   +3 more sources

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

Bayesian networks for causal analysis in socioecological systems

Ecological Informatics
Analyzing the influence of socioeconomy on land use is an important task, as socioeconomic factors can drive changes in land use that may ultimately affect human well-being.
Rafael Cabañas, Ana D. Maldonado, María Morales, Pedro A. Aguilera, Antonio Salmerón   +4 more
doaj   +1 more source

Causal Reasoning with Forces

Frontiers in Human Neuroscience, 2015
Causal composition allows people to generate new causal relations by combining existing causal knowledge. We introduce a new computational model of such reasoning, the force theory, which holds that people compose causal relations by simulating the ...
Phillip eWolff, Aron K Barbey
doaj   +1 more source

Causal order between money, income and price through graph theoretic approach for Pakistan [PDF]

We investigate the causal relationship between money, income and price for Pakistan using quarterly data from 1971-2003. We find that both money supply and prices cause income thus verifying the monetarists' point of view.
Nighat Jahandad, Zahid Asghar
core