Results 41 to 50 of about 3,200,857 (249)
Risk Management and Healthcare Policy, 2021 Objective The provision of healthcare facilities remains high on the manifesto of various political parties in Pakistan and healthcare spending has witnessed a significant surge in the last two decades that is expected to positively influence health ...
I. Ullah +8 more
semanticscholar +1 more source
, 2021 This paper contributes to the existing literature by investigating the impact of oil prices on real exchange rates in China and India. We employ the non-linear, autoregressive-distributed lag model advanced by Shin et al.
Naceur Khraief +3 more
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Reflection on modern methods: visualizing the effects of collinearity in distributed lag models.
International Journal of Epidemiology, 2021 Collinearity can be a problem in regression models. When examining the effects of an exposure at different time points, constrained distributed lag models can alleviate some of the problems caused by collinearity. Still, some consequences of collinearity
X. Basagaña, J. Barrera-Gómez
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Exposure-Lag-Response in Longitudinal Studies: Application of Distributed-Lag Nonlinear Models in an Occupational Cohort. [PDF]
, 2018 Prolonged exposures can have complex relationships with health outcomes, as timing, duration, and intensity of exposure are all potentially relevant.
Brown, Daniel M +6 more
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Analisis Likuiditas Bank Umum Syariah dengan Pendekatan Autoregressive Distributed Lag (ARDL)
Al-tijary, 2021 This study aims to determine the influence of internal and external factors on the liquidity of Islamic banks. The research observation period was from January 2015 to April 2019 using the autoregressive distributed lag (ARDL) data processing method ...
Bintang Putri Pertiwi, Heri Sudarsono
doaj +1 more source
Distributed Lag Models for Hydrological Data [PDF]
Biometrics, 2013 AbstractSummaryThe distributed lag model (DLM), used most prominently in air pollution studies, finds application wherever the effect of a covariate is delayed and distributed through time. We specify modified formulations of DLMs to provide computationally attractive, flexible varying‐coefficient models that are applicable in any setting in which ...
Rushworth, Alastair M. +3 more
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Extensions of the distributed lag non-linear model (DLNM) to account for cumulative mortality
Environmental science and pollution research international, 2021 The effects of meteorological factors on health outcomes have gained popularity due to climate change, resulting in a general rise in temperature and abnormal climatic extremes.
Chao-Yu Guo +3 more
semanticscholar +1 more source
Reducing and meta-analysing estimates from distributed lag non-linear models. [PDF]
, 2013 BACKGROUND: The two-stage time series design represents a powerful analytical tool in environmental epidemiology. Recently, models for both stages have been extended with the development of distributed lag non-linear models (DLNMs), a methodology for ...
Armstrong, Ben, Gasparrini, Antonio
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A Nonlinear Autoregressive Distributed Lag (NARDL) Analysis of the FTSE and S&P500 Indexes
Risks, 2021 The paper features an examination of the link between the behaviour of the FTSE 100 and S&P500 Indexes in both an autoregressive distributed lag ARDL, plus a nonlinear autoregressive distributed lag NARDL framework.
D. Allen, M. McAleer
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Distributed Lag Order Determination [PDF]
International Finance Discussion Papers, 1978 This paper is organized as follows: parameterization problems endemic to time series models are discussed in section one. New approaches to the parameterization problems are summarized and then applied to the problem of simulataneously estimating the length and the coefficients of a distributed lat regression model. The asymptotic properties of the new
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