Treed distributed lag nonlinear models. [PDF]
Biostatistics, 2022 Summary In studies of maternal exposure to air pollution, a children’s health outcome is regressed on exposures observed during pregnancy. The distributed lag nonlinear model (DLNM) is a statistical method commonly implemented to estimate an exposure–time–response function when it is postulated the exposure effect is nonlinear.
Mork D, Wilson A.
europepmc +7 more sources
Indonesian Export Analysis: Autoregressive Distributed Lag (ARDL) Model Approach [PDF]
Journal of Economics, Business & Accountancy Ventura, 2021 There are some factors predicted tohave an effect on the countries’ economic devlopment. This study aimed to analyze the long-term and short-term effects of In-flation, Exchange Rate, and Foreign Economic Growth (the destination of the United States ...
Syarifah Labibah +2 more
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Autoregressive distributed lag models and cointegration [PDF]
Allgemeines Statistisches Archiv, 2006 This paper considers cointegration analysis within an autoregressive distributed lag (ADL) framework. First, different reparameterizations and interpretations are reviewed.
Hassler, Uwe, Wolters, Jürgen
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Economic growth and electricity consumption: Auto regressive distributed lag analysis
Journal of Energy in Southern Africa, 2017 Knowledge of the direction of causality between electricity consumption and economic growth is of primary importance if appropriate energy policies and energy conservation measures are to be devised.
Melike E. Bildirici +2 more
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Modeling exposure-lag-response associations with distributed lag non-linear models. [PDF]
Statistics in Medicine, 2013 In biomedical research, a health effect is frequently associated with protracted exposures of varying intensity sustained in the past. The main complexity of modeling and interpreting such phenomena lies in the additional temporal dimension needed to ...
Gasparrini, Antonio
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Attributable risk from distributed lag models. [PDF]
BMC Medical Research Methodology, 2014 BACKGROUND: Measures of attributable risk are an integral part of epidemiological analyses, particularly when aimed at the planning and evaluation of public health interventions.
Gasparrini, Antonio, Leone, Michela
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A novel spatial heteroscedastic generalized additive distributed lag model for the spatiotemporal relation between PM2.5and cardiovascular hospitalization [PDF]
Scientific ReportsMany studies have examined the impact of air pollution on cardiovascular hospitalization (CVH), but few have looked at the delayed effects of air pollution on CVH.
Ali Hadianfar +3 more
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Distributed Lag Linear and Non-Linear Models in R: The Package dlnm [PDF]
Journal of Statistical Software, 2011 Distributed lag non-linear models (DLNMs) represent a modeling framework to flexibly describe associations showing potentially non-linear and delayed effects in time series data.
Antonio Gasparrini
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An autoregressive distributed lag approach for estimating the nexus between CO2 emissions and economic determinants in Pakistan. [PDF]
PLoS One, 2023 Daniyal M +6 more
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Research on shear lag effect of cantilever concrete box beam with double chambers [PDF]
E3S Web of Conferences, 2022 In this paper, the authors used finite element method to investigate the longitudinal and transverse shear lag effects and the effect of aspect ratio on the shear lag of double-chamber cantilever concrete box girder under uniform distributed load.
Pan Jinglan, Chen Kongliang
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