Fitsmoothhazard
WebPlot method for objects returned by the fitSmoothHazard function. Current plot types are hazard function and hazard ratio. The visreg package must be installed for … WebWe will perform a competing risk analysis on data from 177 patients who received a stem cell transplant for acute leukemia. The event of interest in relapse, but other competing causes (e.g. transplant-related death) need to be taken into account. We also want to take into account the effect of several covariates such as Sex, Disease ...
Fitsmoothhazard
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WebThe casebase package uses the following hierarchy of classes for the output of fitSmoothHazard: casebase: singleEventCB: - glm - gam - cv.glmnet CompRisk: - vglm. The class singleEventCB is an S3 class, and we also keep track of the classes appearing below. The class CompRisk is an S4 class that inherits from vglm. Credit WebNov 13, 2024 · From this last plot, we can see that there is no censoring during the first 10 months. Moreover, we see that the last competing event occurs around 20 months.
WebMethodological details. Case-base sampling was proposed by Hanley and Miettinen, 2009 as a way to fit smooth-in-time parametric hazard functions via logistic regression. The main idea, which was first proposed by Mantel, 1973 and then later developed by Efron, 1977, is to sample person-moments, i.e. discrete time points along an subject’s ... WebNov 16, 2024 · Compute absolute risks using the fitted hazard function. Description. Using the output of the function fitSmoothHazard, we can compute absolute risks by integrating the fitted hazard function over a time period and then converting this to an estimated survival for each individual.. Plot method for objects returned by the absoluteRisk function. …
WebFrom the fitted hazard model, we provide functions to readily calculate and plot cumulative incidence and survival curves for a given covariate profile. This approach accommodates … WebNov 16, 2024 · x: Fitted object of class glm, gam, cv.glmnet or gbm.This is the result from the fitSmoothHazard() function.. newdata: Required for type="hr".The newdata argument is the "unexposed" group, while the exposed group is defined by either: (i) a change (defined by the increment argument) in a variable in newdata defined by the var argument ; or (ii) …
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