Add to ORKGThe package dlnm contains functions to specify and interpret distributed lag linear (DLMs) and non-linear (DLNMs) models
Environmental stressors often show effects that are delayed in time, requiring the use of statistica...
exposure-lag-response associations with distributed lag non-linear models” Antonio Gasparrinia∗† Thi...
The distributed lag non-linear model (DLNM) is frequently used in environmental and epidemiological ...
A tutorial on the use of distributed lag non-linear models in time series analysis, illustrating the...
Description The package dlnm contains functions to specify and run distributed lag linear and non-li...
Distributed lag non-linear models (DLNMs) represent a modeling framework to flexibly describe associ...
: Distributed lag non-linear models (DLNMs) represent a modeling framework to flexibly describe asso...
R code reproducing the results published in an article on the extension of distributed lag linear an...
Distributed lag non-linear models (DLNMs) represent a modeling framework to flexibly describe associ...
Distributed lag non-linear models (DLNMs) are a modelling tool for describing potentially non-linear...
Computes the nonlinear cointegrating autoregressive distributed lag model with p lags of the depende...
An illustration on methods for reducing estimates of bi-dimensional exposure-lag-response associatio...
In this article, we introduce the R package dLagM for the implementation of distributed lag models a...
In this article, we introduce the R package dLagM for the implementation of distributed lag models a...
This function computes the attributable fraction or number for a specific exposure scenario and asso...
Environmental stressors often show effects that are delayed in time, requiring the use of statistica...
exposure-lag-response associations with distributed lag non-linear models” Antonio Gasparrinia∗† Thi...
The distributed lag non-linear model (DLNM) is frequently used in environmental and epidemiological ...
A tutorial on the use of distributed lag non-linear models in time series analysis, illustrating the...
Description The package dlnm contains functions to specify and run distributed lag linear and non-li...
Distributed lag non-linear models (DLNMs) represent a modeling framework to flexibly describe associ...
: Distributed lag non-linear models (DLNMs) represent a modeling framework to flexibly describe asso...
R code reproducing the results published in an article on the extension of distributed lag linear an...
Distributed lag non-linear models (DLNMs) represent a modeling framework to flexibly describe associ...
Distributed lag non-linear models (DLNMs) are a modelling tool for describing potentially non-linear...
Computes the nonlinear cointegrating autoregressive distributed lag model with p lags of the depende...
An illustration on methods for reducing estimates of bi-dimensional exposure-lag-response associatio...
In this article, we introduce the R package dLagM for the implementation of distributed lag models a...
In this article, we introduce the R package dLagM for the implementation of distributed lag models a...
This function computes the attributable fraction or number for a specific exposure scenario and asso...
Environmental stressors often show effects that are delayed in time, requiring the use of statistica...
exposure-lag-response associations with distributed lag non-linear models” Antonio Gasparrinia∗† Thi...
The distributed lag non-linear model (DLNM) is frequently used in environmental and epidemiological ...