msm
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The msm R package for continuous-time multi-state modelling of panel data
This breaks in the missing value handling code, presumably because a matrix is created for the covariate. ``` psor.q
Dear Professor: First of all, thank you so much for always answering our questions on the forums, it's much appreciated. I have been using "msm" for almost half a year...
I have trained the following MC, cavcov.msm pmatrix.msm(cavcov.msm, t=5,covariates = list(timeperiod = "[-Inf,5)")) State 1 State 2 State 3 State 4 State 1 0.5860283 0.11883904 0.09047275 0.2046599 State 2 0.3284243...
Hi, on the example it shows > cavsex.msm Call: msm(formula = state ~ years, subject = PTNUM, data = cav, qmatrix = Q, covarMaximum likelihood estimates Baselines are with covariates...
Hi Professor Jackson, Recently I came cross a problem when doing an analysis, where I apply multi-state model in a cohort of 8000 participants, each of them had 2 or...
I've noticed an issue: in a model with states 1-2 and 2-3, the difference in transition probabilities between low and high levels of an exposure factor is smaller for state...
The probabilities and sojourn times obtained by the MSM model, such as whether there are any statistically significant differences in the probabilities or sojourn times between the male and female...
"legend.pos=NULL" does not work when I used plot.prevalence.msm(). I want to remove the legend at the bottomright of the plot, and I added "legend.pos=NULL", but it does not work. My...
Hi, I hope all is well. I have a question about the likelihood of models with constant rates vs the likelihood of models with piece-wise constant rates: ``` r library(msm)...
Hi Could you clarify how MSM handles missing data (both on explanatory variables and on the outcome/dependent variable)? Specifically: What assumptions does MSM make during estimation when some data (...