Showing 2 of total 2 results (show query)
robindenz1
contsurvplot:Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome
Graphically display the (causal) effect of a continuous variable on a time-to-event outcome using multiple different types of plots based on g-computation. Those functions include, among others, survival area plots, survival contour plots, survival quantile plots and 3D surface plots. Due to the use of g-computation, all plot allow confounder-adjustment naturally. For details, see Robin Denz, Nina Timmesfeld (2023) <doi:10.1097/EDE.0000000000001630>.
Maintained by Robin Denz. Last updated 2 days ago.
causal-inferencecontinuousg-computationsurvival-analysisvisualization
12 stars 5.53 score 56 scripts
awamaeva
trajmsm:Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories
Implements marginal structural models combined with a latent class growth analysis framework for assessing the causal effect of treatment trajectories. Based on the approach described in "Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories" Diop, A., Sirois, C., Guertin, J.R., Schnitzer, M.E., Candas, B., Cossette, B., Poirier, P., Brophy, J., Mésidor, M., Blais, C. and Hamel, D., (2023) <doi:10.1177/09622802231202384>.
Maintained by Awa Diop. Last updated 1 years ago.
g-computationinverse-probability-weightsmarginal-structural-modelstmletrajectory-analysis
5 stars 3.40 score