Data science, health economics, epidemiology, R, open source, new dad, ex-athlete
San Francisco, CA
Joined July 2014
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External controls are intriguing but bias is a concern. Across 14 old studies, we found that trial controls survived longer---even after PS adjustment---than external controls (HR=0.90). We propose a meta-analytic framework to adjust for such bias.
arxiv.org/pdf/2110.03827.pdf
Happy to see our paper w/@EsMagoo,@robtibshirani & all on prediction modeling with high-dimensional left-truncated and right-censored survival data published in Statistics in Medicine. Need to be especially careful using C-index for model evaluation. onlinelibrary.wiley.com/doi/…
We think this type of data will be increasingly common as datasets that link genomic information with clinical outcomes become more common. All code for our analysis is available in our GitHub repo.github.com/phcanalytics/coxn…
Big thanks to the glmnet team for making it possible to model start/stop survival data and adjust for left-truncation. glmnet.stanford.edu/articles…
New version of hesim (0.5.1) on CRAN. Updates include new summary methods for checking/summarizing model inputs, enhancements to make it easier to build large transition matrices, and improved documentation, among others.
hesim-dev.github.io/hesim/ne…
Looking forward to teaching an @ISPORorg short course (Aug 11/12) on cost-effectiveness modeling with R with @JeroenPJansen. We'll build models in both base R and hesim and have made our course materials available online.
ispor.org/conferences-educat…
github.com/hesim-dev/rcea
Some new benchmarks for microsimulations parameterized with spline-based survival models in our #rstats hesim package. #Rcpp makes it surprisingly fast: in realistic settings, run time is half a minute compared to 3.5 hours with other packages! hesim-dev.github.io/hesim/de…
New preprint with @JeroenPJansen describing our hesim R package for fast simulation of cost-effectiveness models. Accompanies release of v0.5.0 on CRAN with many new features.
arxiv.org/abs/2102.09437
Devin Incerti retweeted
Uncovering immortal time bias when fitting prognostic survival models in a large clinico-genomic database. Here, our assessment w/ @DevinIncerti, @robtibshirani & all (pre-print).
medrxiv.org/content/10.1101/…
Came across the new survHE JSS publication (jstatsoft.org/article/view/v…) from @gianlubaio, which lets you easily fit a host of frequentist/Bayesian survival models. Would like to integrate with our hesim R package!
Devin Incerti retweeted
These private equity-owned hospital staffing companies are cutting staff hours as non-#Covid19 business slows:
* Envision ($KKR)
* TeamHealth (Blackstone $BX)
* SCP Health ($ONEX)
* US Acute Care Solutions (Welsh Carson)
* Alteon Health (New Mountain & Frazier)
via @iarnsdorf
Why are ER doctors being sidelined when some hospitals are overflowing? The pandemic is breaking the economics of American health care. propublica.org/article/overw…
Devin Incerti retweeted
NEJM, what are you doing?
Now is not the time to engage in dichotomania of statistical significance.
The conclusions (no significant difference) is not compatible with the data (HR for improvement 1.24; 0.90 to 1.72)
Cc @f2harrell @ADAlthousePhD
nejm.org/doi/full/10.1056/NE…
Devin Incerti retweeted
I've been working on a total rewrite of dtplyr, which lets you take advantage of (almost all of) data.table's speed while using dplyr syntax. The package is still in development, but I'd love for you to try it out and let me know how it goes: dtplyr.tidyverse.org #rstats
hesim 0.2.1 is on CRAN. Costs in multi-state models can now be "semi-Markov" in that they can depend on time in each state. Relevant in oncology models where 2L chemo is given for a set # of cycles. Used in the @IVI_health NSCLC model.
hesim-dev.github.io/hesim/ne…
New post on survival analysis with different survival distributions in #rstats, their parameterizations, and the hazard shapes they support. Facilitated by the outstanding flexsurv package by @cjackstats
Devin Incerti retweeted
Good morning #healtheconomics researchers. We’re accepting proposals to estimate patient preference weights for MCDA using our open-source rheumatoid arthritis model. $50k in funding available. Deadline is 6/15!
thevalueinitiative.org/ivi-a… …
For those interested in learning more about using R for economic modeling in HTA, you can also check out our R workshop at #ISPORAnnual today with @jlevy2 and Jeroen Jansen.
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Our new commentary with @amcporg's JMCP discusses ways that cost-effectiveness analyses can be made more relevant and credible for decision-makers in the US. Also a nice companion piece by @icer_review discussing sustainability and their efforts to improve transparency.
Perspectives in Value. This month’s JMCP issue features an excellent paper by IVI’s Jeroen Jensen and @Devinincerti. Excellent walk-up to ISPOR 2019. jmcp.org