Results 211 to 220 of about 206,208 (255)

Toward sustainable healthy living in South Africa: the asymmetric effects of clean energy, natural resources and institutional quality. [PDF]

Front Public Health
Iorember PT, van Niekerk A.
europepmc   +1 more source

Identifying Causal Genotype-Phenotype Relationships for Population-Sampled Parent-Child Trios. [PDF]

Genet Epidemiol
Tang Y, Cabreros I, Storey JD.
europepmc   +1 more source

Direct causality measures unravel complex networks of cardiovascular dynamics and their modifications with postural stress. [PDF]

PLoS Comput Biol
Barà C, Sparacino L, Faes L, Javorka M.
europepmc   +1 more source

A descriptive, retrospective analysis of the quality of spontaneous adverse event reporting to the Côte d'Ivoire Pharmaceutical and Regulatory Authority and its impact on the causality assessment. [PDF]

Ther Adv Drug Saf
Kamagaté M, Jusot V, Mory D, Barry A, Adou F, Kirabo M, Perger T, Guerra Mendoza Y.   +7 more
europepmc   +1 more source

Test of Causality in Conditional Variance Hafner and Herwatz Test for Causality

, 2015
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Testing for Causality in Data: Experiments

2019
Causal effects are a prime concern in media policy research, and experimental research designs are widely regarded as the most effective way to identify and gauge causality. Nevertheless, explicit applications of experimental methods are rare in media policy research.
Handke, Christian, Herzog, Christian
openaire   +2 more sources

Tests of Causality, Predeterminedness and Exogeneity

International Economic Review, 1983
Consider a linear dynamic simultaneous equations model containing two time series \(x_ t\) and \(y_ t:\) \[ \begin{pmatrix} a(L) & b(L) \\ c(L) & d(L) \end{pmatrix} \binom{x_ t}{y_ t} = \binom{u_ t}{v_ t} \] where L is the lag operator defined by \(L^ jx_ t=x_{t-j}\), \(a(L)=\sum^{\infty}_{j=0}a_ jL^ j\) and \(a_ j\) are scalar constants.
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A causal test of the strength of weak ties

Science, 2022
The authors analyzed data from multiple large-scale randomized experiments on LinkedIn’s People You May Know algorithm, which recommends new connections to LinkedIn members, to test the extent to which weak ties increased job mobility in the world’s largest professional social network.
Karthik Rajkumar, Guillaume Saint-Jacques, Iavor Bojinov, Erik Brynjolfsson, Sinan Aral   +4 more
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Testing for Granger's Full Causality

The Review of Economics and Statistics, 1992
A procedure is proposed to test for the existence of a fully causal relationship between two variables. The method involves contrasting the probabilistic forecasting performance of a univariate and bivariate specification for the same variable Y. If there exists some theory or belief that X causes Y, and the addition of a variable X to the information ...
Covey, Ted, Bessler, David A
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