Michael Dismorr

Regression standardization with the rstpm2 package #rstats #tidyverse michaeldismorrmd.github.io/posts/regressi…

New post: Demonstrating regression standardization in R with the mexhaz-package michaeldismorrmd.github.io/posts/regressi…

@FelipeLuizFV Check out my guide for a suggested workflow with R/RStudio and git michaeldismorrmd.github.io/guides/setup/s…

New study from our research group. Skeletonized harvesting of internal thoracic artery has comparable long-term results as pedicled harvesting technique. ahajournals.org/doi/10.1161/JA…

Long-term data show differences in mortality rates between mechanical aortic valve prostheses after surgical aortic valve replacement. ja.ma/449Thtc @MichaelDismorr @NatalieGlaser10 @RealSwedeheart #SWEDEHEART

In patients aged 50 to 69 years who underwent #SAVR, survival was better in those who received mechanical compared to Perimount bioprosthetic valves. bit.ly/42r81kM #JACCAdvances #cvSurg #CardioTwitter @MichaelDismorr @NatalieGlaser10 @RealSwedeheart

SWEDHEART cohort including > 16000 patients who underwent SAVR: Increasing grades of PPM were associated with long-term mortality, and severe PPM was associated with increased heart failure. From @jaccjournals jacc.org/doi/10.1016/j.…

The effect of PPM on long-term mortality and heart failure after SAVR using #SWEDEHEART data shows clinically relevant differences between no- and severe PPM, but the clinical importance of moderate PPM may be negligible. @NatalieGlaser10, @RealSwedeheart authors.elsevier.com/sd/article/S07…

Patienter med låg socioekonomisk status som genomgått operation med byte till mekanisk hjärtklaffprotes har en högre risk för blödningskomplikationer visar ny studie av Magnus Dalén med kollegor vid grp Thoraxkirurgi, publ nu i JACC @KarolinskaUnsju nyheter.ki.se/lag-socioekono…

Socioeconomic status associated with risk of bleeding in patients with mechanical aortic valve prostheses. sciencedirect.com/science/articl…

@JJCrumplerIII @rstats4ds Svglite() or pdf()

@noah_greifer Package rstpm2 also handles weights and robust standard errors, and can be used with the markov_msm function for competing risks!

Is anyone aware of #Rstats packages that allow you to perform competing risks analysis using inverse probability weighted data? #causaltwitter #epitwitter

@noah_greifer Yes it seems survival::survfit handles weights and robust standard errors in the competing risks setting!

Study of long-term morbidity and mortality in patients with bioprosthetic aortic valves shows considerable differences in performance depending on model group. Published in @JAMANetworkOpen by KI’s @MichaelDismorr, Ulrik Sartipy and others. #Cardiology news.ki.se/variation-in-p…

Long-term cohort study from #SWEDEHEART finds common valve models used for bioprosthetic surgical aortic valve associated with differences in outcomes. @MichaelDismorr @RealSwedeheart ja.ma/3pJtWTA

Skillnad i prestanda mellan olika konstgjorda hjärtklaffar nyheter.ki.se/skillnad-i-pre…

@StephenAkar Have a look at the {gtsummary} package, here is a great vignette: danieldsjoberg.com/gtsummary/

@MichaelDismorr Could you please advice available tutorial package for combining univariate and multivariate logistic regression tables for epidemiological data?

@MichaelDismorr Michael many thanks for your fantastic flextable R code. Please could you explain how one could add p-values to the table?

Must Read Article: Excellent review on Sex Differences and Similarities in Valvular Heart Disease ahajournals.org/doi/10.1161/CI…