David Phillippo

@dmphillippo.bsky.social

Statistician at University of Bristol | Bayesian, meta-analysis and evidence synthesis, #rstats | Musician and drinker of coffee

[David Phillippo @dmphillippo]

📣 New paper! #openaccess

Multilevel network meta-regression combines individual patient data and aggregate data in one network, adjusting for differences in effect modifiers between studies, whilst avoiding aggregation bias

https://t.co/5aBsXszbn4

[David Phillippo @dmphillippo]

No longer posting here - find me where the skies are bluer

[David Phillippo @dmphillippo]

@bangphd_epi There is a PR underway for regression on baseline risk

https://t.co/a8DV4tjPBt

No timeline just yet, but good progress has been made!

[David Phillippo @dmphillippo]

📣 multinma update v0.7.1 on CRAN

* New marginal_effects() function for computing marginal relative effects
* Progress bars for long operations
* trt_ref argument to predict() has been renamed to baseline_ref for consistency
* Bug fixes

Full details 👉https://t.co/abYabQCvKS

[David Phillippo @dmphillippo]

The marginal_effects() function wraps predict() to create differences or ratios of absolute predictions.
For example:
* risk differences/ratios from an analysis of log odds ratios
* marginal differences in RMST or time-varying marginal hazard ratios from a survival analysis

[David Phillippo @dmphillippo]

This is now resolved: Stan has been patched, and multinma is back on CRAN
https://t.co/VquIvDypNc

[David Phillippo @dmphillippo]

multinma is back on CRAN 🎉

Stan has been patched to fix the memory allocation bug

This release (v0.6.1) also includes a bugfix for piecewise exponential hazards models - changelog here 👉
https://t.co/abYabQCvKS

Binaries will be built by CRAN over the next few days

[David Phillippo @dmphillippo]

PSA: multinma is temporarily unavailable from CRAN

A small memory allocation bug in Stan tripped some additional CRAN checks, which needs to be patched by rstan.

multinma is still fully functional and passes all tests. In the meantime:

[David Phillippo @dmphillippo]

multinma will be back on CRAN as soon as rstan is patched - or sooner if CRAN respond to my emails requesting reinstatement!

More details on the memory allocation bug here 👉 https://t.co/ol5DHLDNX2

[David Phillippo @dmphillippo]

multinma is back on CRAN 🎉

Stan has been patched to fix the memory allocation bug

This release (v0.6.1) also includes a bugfix for piecewise exponential hazards models - changelog here 👉
https://t.co/abYabQCvKS

Binaries will be built by CRAN over the next few days

[David Phillippo @dmphillippo]

PSA: multinma is temporarily unavailable from CRAN

A small memory allocation bug in Stan tripped some additional CRAN checks, which needs to be patched by rstan.

multinma is still fully functional and passes all tests. In the meantime:

[David Phillippo @dmphillippo]

@AbhirupDut9869 Hi Abhirup, CRAN has temporarily archived it due to a small memory allocation bug in stan (beyond my control to fix). Once stan is patched it will be back up 🙂
https://t.co/4UHJPzfgig

[David Phillippo @dmphillippo]

PSA: multinma is temporarily unavailable from CRAN

A small memory allocation bug in Stan tripped some additional CRAN checks, which needs to be patched by rstan.

multinma is still fully functional and passes all tests. In the meantime:

[David Phillippo @dmphillippo]

📣multinma v0.6.0 update on CRAN

Major new features (details below):
- Survival analysis
- Automatic integration convergence checking (faster models!)

Plus other improvements and bugfixes

Full changelog 👉https://t.co/VzqTobNpSz

[David Phillippo @dmphillippo]

@DanielG12754470 Thank you Daniel!

[David Phillippo @dmphillippo]

Survival analysis with multilevel network meta-regression? Yes please!

New preprint extending ML-NMR to likelihoods of any form, including for survival analysis. Accompanied by a new multinma release v0.6.0, which is on CRAN now.

https://t.co/OkbqFAWyuh

[David Phillippo @dmphillippo]

Automatic checking of integration error for ML-NMR:
- Checks sufficient number of integration points within a single model run
- Gives nice warnings if action is required
- Much lower default n_int=64 (previously 1000!) means much faster models!

[David Phillippo @dmphillippo]

Accompanied by our latest preprint: https://t.co/OkbqFAWyuh

https://t.co/6bmseO4CCe

[David Phillippo @dmphillippo]

Survival analysis with multilevel network meta-regression? Yes please!

New preprint extending ML-NMR to likelihoods of any form, including for survival analysis. Accompanied by a new multinma release v0.6.0, which is on CRAN now.

https://t.co/OkbqFAWyuh

[David Phillippo @dmphillippo]

More nuggets in this paper:
- A new algorithm for automatic convergence checking for numerical integration 👉 fewer integration samples needed, nice warnings, MUCH faster ML-NMR models
- M-spline baseline hazard model with a novel random walk shrinkage prior 👀

[David Phillippo @dmphillippo]

With @sdias_stats, @WeltonNicky, and Tony Ades