Serdar Balci

@serdarbalci
56 Followers
142 Following
145 Posts

I like to review the methods used in pathology research to improve the jamovi modules.

This week I will be focusing on #USCAP2026 abstracts. I am sure it will be a long review.

Until I find something worth adding to the modules I have prepared a test module for the work in progress functions. This group contains Lasso Cox related survival features in detail.

Add comments and requests here: https://github.com/sbalci/ClinicoPathJamoviModule/issues

PR are welcome.

Microscopic control of pancreas tumor size is necessary for acurate staging:

“Horses out of the barn”: pancreatic ductal adenocarcinoma frequently extends beyond the grossly visible tumour, requiring microscopic rectification for accurate T-staging

https://onlinelibrary.wiley.com/share/author/BUTVB2QKSCH44YJ8T54X?target=10.1111/his.70099

#pathology #pathologist #oncology #macroscopy #stage #pancreas

singlearm_dates.omv - Automatic survival time calculation from diagnosis and follow-up dates https://raw.githubusercontent.com/sbalci/ClinicoPathJamoviModule/master/data-raw/non-rda/singlearm_dates.omv
singlearm_landmark.omv - Landmark analysis to address immortal time bias https://raw.githubusercontent.com/sbalci/ClinicoPathJamoviModule/master/data-raw/non-rda/singlearm_landmark.omv
#Datasets to try the function:
singlearm_compete.omv - Competing risk analysis: cancer-specific mortality vs. other causes of death https://raw.githubusercontent.com/sbalci/ClinicoPathJamoviModule/master/data-raw/non-rda/singlearm_compete.omv
singlearm_persontime.omv - Person-time metrics and incidence rate calculations for epidemiological reporting https://raw.githubusercontent.com/sbalci/ClinicoPathJamoviModule/master/data-raw/non-rda/singlearm_persontime.omv
The Single Arm Survival tool in jamovi #jsurvival module singlearm function
analyzes overall survival characteristics for phase II trials, cancer registries, and cohort studies. Simply input time-to-event data (or diagnosis/follow-up dates) and outcome status.
#Pathology #DigitalPathology #Biostatistics #Oncology #SurvivalAnalysis #jamovi
1st episode of the #ASDP #Webinar Series 2026, focusing on future of pathology in the era of digital transformation and artificial intelligence. As digital #pathology and AI continue to reshape diagnostic practice, this webinar will explore how innovative workflows and closer clinician - #pathologist collaboration can enhance clinical impact patient care.
Saturday, 17 January 2026
Time: 9:00 Istanbul
Pathology 2026 - Futuristic DP/AI workflows and clinicians engagement
https://zoom.us/webinar/register/WN_yxjqe8B2QkWTiCd-x-Lywg#/registration
jjstatsplot #jamovi module has new updates. Will be in library after tests. #statistics #biostatistics #rstats #dataviz
https://github.com/sbalci/jjstatsplot/releases/tag/v0.0.32.66
Release v0.0.32.66 prerelease for testing · sbalci/jjstatsplot

wrapper functions to use ggstatsplot functions as a module in jamovi - Release v0.0.32.66 prerelease for testing · sbalci/jjstatsplot

GitHub
OncoPath #jamovi module has new updates. Will be in library after tests. #statistics #biostatistics #rstats
https://github.com/sbalci/OncoPath/releases/tag/v0.0.32.64
- Waterfall and Spider Plot.
- Swimmer Plot.
- IHC Heterogeneity.
- Combining IHC study results to get a decision test result.
Release v0.0.32.64 prerelease for testing · sbalci/OncoPath

OncoPath module for jamovi. Contribute to sbalci/OncoPath development by creating an account on GitHub.

GitHub