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Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018
J. Antonakis, T. Kleinbauer
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J. Antonakis, T. Kleinbauer
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Physical Medicine and Rehabilitation Clinics of North America, 2002
This article reviews basic tort law concepts, which medical evaluators should be familiar with when working in the medicolegal environment. To facilitate medicolegal causal analysis, the concept of the health claim statement or argument is proposed. We describe medicolegal causal analysis model, which should assist the medical evaluator's determination
Michel, Lacerte, Pierre, Forcier
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This article reviews basic tort law concepts, which medical evaluators should be familiar with when working in the medicolegal environment. To facilitate medicolegal causal analysis, the concept of the health claim statement or argument is proposed. We describe medicolegal causal analysis model, which should assist the medical evaluator's determination
Michel, Lacerte, Pierre, Forcier
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Annual Review of Sociology, 2022
Fueled by recent advances in statistical modeling and the rapid growth of network data, social network analysis has become increasingly popular in sociology and related disciplines. However, a significant amount of work in the field has been descriptive and correlational, which prevents the findings from being more rigorously translated into practices
Weihua An +2 more
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Fueled by recent advances in statistical modeling and the rapid growth of network data, social network analysis has become increasingly popular in sociology and related disciplines. However, a significant amount of work in the field has been descriptive and correlational, which prevents the findings from being more rigorously translated into practices
Weihua An +2 more
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Scientist's guide to developing explanatory statistical models using causal analysis principles.
Ecology, 2019Recent discussions of model selection and multimodel inference highlight a general challenge for researchers, which is how to clearly convey the explanatory content of a hypothesized model or set of competing models.
J. Grace, K. Irvine
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A critical realist approach to thematic analysis: producing causal explanations
Journal of Critical Realism, 2022Thematic analysis (TA) is one of the most popular methods in social science. There are several different approaches to TA that hold different ontological commitments, ranging from positivistic coding reliability TA to constructivist reflexive TA. However,
T. Fryer
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Nonprobability Sampling and Causal Analysis
Annual Review of Statistics and Its Application, 2019The long-standing approach of using probability samples in social science research has come under pressure through eroding survey response rates, advanced methodology, and easier access to large amounts of data.
Ulrich Kohler +3 more
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Causal inference for time series analysis: problems, methods and evaluation
Knowledge and Information Systems, 2021Time series data are a collection of chronological observations which are generated by several domains such as medical and financial fields. Over the years, different tasks such as classification, forecasting and clustering have been proposed to analyze ...
Raha Moraffah +7 more
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Adoption behavior towards the use of nuclear technology in agriculture: A causal analysis
Technology and Society, 2018Simultaneous achievement of sustainability, profitability, and productivity in the agricultural sector requires the development and utilization of appropriate technologies derived from agricultural research and extension of technological innovations in ...
Elaheh Ebrahimi Sarcheshmeh +2 more
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Causal mediation analysis in economics: Objectives, assumptions, models
Journal of economic surveys (Print), 2021The aim of mediation analysis is to identify and evaluate the mechanisms through which a treatment affects an outcome. The goal is to disentangle the total treatment effect into two components: the indirect effect that operates through one or more ...
Viviana Celli
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Fifth International Conference on Application of Concurrency to System Design (ACSD'05), 2006
Perfectly synchronous systems immediately react to the inputs of their environment, which may lead to so-called causality cycles between actions and their trigger conditions. Algorithms to analyze the consistency of such cycles usually extend data types by an additional value to explicitly indicate unknown values.
K. Schneider +3 more
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Perfectly synchronous systems immediately react to the inputs of their environment, which may lead to so-called causality cycles between actions and their trigger conditions. Algorithms to analyze the consistency of such cycles usually extend data types by an additional value to explicitly indicate unknown values.
K. Schneider +3 more
openaire +1 more source