#survivalanalysis — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #survivalanalysis, aggregated by home.social.
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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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
Registration is still possible for the GMDS ACADEMY 2025 (Hannover, October 20-23).
There will be three parallel workshops on meta analysis, causal inference and time-to-event analysis involving Wolfgang Viechtbauer (@wviechtb), Christian Röver, Sebastian Weber, Vanessa Didelez, Arthur Allignol, Oliver Kuß, Alexandra Strobel, Hannes Buchner, Xiaofei Liu and Ann-Kathrin Ozga.
See here for more details:
👉 https://www.gmds.de/fileadmin/user_upload/GMDS-Academy-2025.pdf -
This article details PCIC’s category repurchase modeling using survival, ARIMA, and behavioral features, plus frequency‑recency ranking of items. https://hackernoon.com/pcic-model-design-category-level-repurchase-prediction-and-frequencyrecency-item-ranking #survivalanalysis
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Registration is open for the GMDS ACADEMY 2025 (Hannover, October 20-23).
There will be three parallel workshops on meta analysis, causal inference and time-to-event analysis involving Wolfgang Viechtbauer (@wviechtb), Christian Röver, Sebastian Weber, Vanessa Didelez, Arthur Allignol, Oliver Kuß, Alexandra Strobel, Hannes Buchner, Xiaofei Liu and Ann-Kathrin Ozga.
See here for more details:
👉 https://www.gmds.de/fileadmin/user_upload/GMDS-Academy-2025.pdf -
updating jamovi module for survival:
jsurvival work in progress
suggestions are welcome: https://github.com/sbalci/jsurvival
https://youtu.be/YY6Fs1F_2Xk
#jamovi #jsurvival #survivalanalysis #statistics #biostatistics -
updating jamovi module for survival:
jsurvival work in progress
suggestions are welcome: https://github.com/sbalci/jsurvival
https://youtu.be/YY6Fs1F_2Xk
#jamovi #jsurvival #survivalanalysis #statistics #biostatistics -
🎥 "Reporting Survival Analysis Results with gtsummary and ggsurvfit" 📊
Survival analysis is key for time-dependent endpoints, but making publication-ready tables and figures can be tough. This #NYRConf talk covers the basics and shows how to use these R packages to create manuscript-ready outputs. Watch now! 🧬📉
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My thesis is finally not only handed in and graded but also in our universities thesis repository 🎉
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`Introduction to the Cox model`
https://www.youtube.com/watch?v=CzHt22YL_-w
#coxModel #proportionalHazardModel #davidCox #sirDavidCox #survivalAnalysis #failureAnalysis #failureTimeAnalysis #forceOfMortality #reliabilityEngineering #kaplanMeier #failureDistribution #failureTimeDistribution #failureRate #hazardFunction #hazardRate #failureRate #nonParametric #model #modeling #statistics #stats #mortality #function #mathematics #math #proportionality #regression #regressionModel #leastSquares
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`Introduction to the Cox model`
https://www.youtube.com/watch?v=CzHt22YL_-w
#coxModel #proportionalHazardModel #davidCox #sirDavidCox #survivalAnalysis #failureAnalysis #failureTimeAnalysis #forceOfMortality #reliabilityEngineering #kaplanMeier #failureDistribution #failureTimeDistribution #failureRate #hazardFunction #hazardRate #failureRate #nonParametric #model #modeling #statistics #stats #mortality #function #mathematics #math #proportionality #regression #regressionModel #leastSquares
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`Introduction to the Cox model`
https://www.youtube.com/watch?v=CzHt22YL_-w
#coxModel #proportionalHazardModel #davidCox #sirDavidCox #survivalAnalysis #failureAnalysis #failureTimeAnalysis #forceOfMortality #reliabilityEngineering #kaplanMeier #failureDistribution #failureTimeDistribution #failureRate #hazardFunction #hazardRate #failureRate #nonParametric #model #modeling #statistics #stats #mortality #function #mathematics #math #proportionality #regression #regressionModel #leastSquares
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`Introduction to the Cox model`
https://www.youtube.com/watch?v=CzHt22YL_-w
#coxModel #proportionalHazardModel #davidCox #sirDavidCox #survivalAnalysis #failureAnalysis #failureTimeAnalysis #forceOfMortality #reliabilityEngineering #kaplanMeier #failureDistribution #failureTimeDistribution #failureRate #hazardFunction #hazardRate #failureRate #nonParametric #model #modeling #statistics #stats #mortality #function #mathematics #math #proportionality #regression #regressionModel #leastSquares
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Recent #PeerReview work on #MixedModels and #GrowthModels had me going back to these classical texts on the genre:
1) https://journals.sagepub.com/doi/10.3102/01623737018004265
They are excellent tutorials on the most basic aspects of incorporating trajectories / functional change into such models. And the assumptions these require.
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v1.1.0 of {ggsurvfit} 📦 is on CRAN!
This release primarily includes updates to account for changes in the {survival}📦, but does include a few other gems.
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Really excited to attend #JupyterCon in Paris next month!
@vincent_m and I will give a full day tutorial on predictive Survival Analysis and Competing Risks modeling with a Gradient Boosting model assembled from generic scikit-learn building blocks. We will also introduce many concepts and model evaluation methodology using specialized libraries such as lifelines and scikit-survival.
Here is the full agenda for this session:
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`In most situations in our study, the Kalbfleisch Prentice estimator results in less bias and smaller mean squared error than the Breslow estimator. Their differences are especially clear at the tail of the distribution. The implications of such differences in applications are discussed. We advocate the use of Kalbfleisch Prentice estimator in practice, and further research on its properties.`
https://pubmed.ncbi.nlm.nih.gov/30370174/
#survivalAnalysis #lifetimeData #statistics #estimation #bias
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The Orange data mining platform is one of the most intuitive programs available to use data science that does not require programming.
Includes widgets for #imageanalysis #timeseries #spectroscopy #bioinformatics #geolocation #associationrules, #cellularbiology #bioinformatics #survivalanalysis ... -
How Do Patients Benefit from Artificial Intelligence - Artificial intelligence in healthcare has come a long way. The use of computers ha... - https://readwrite.com/how-do-patients-benefit-from-artificial-intelligence/ #artificialintelligenceinhealthcare #survivalanalysis #datascience #healthcare #analysis #bigdata #health #ai
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The Orange data mining platform is one of the most intuitive programs available to use data science that does not require programming.
Includes widgets for #imageanalysis #timeseries #spectroscopy #bioinformatics #geolocation #associationrules, #cellularbiology #bioinformatics #survivalanalysis ... -
The Orange data mining platform is one of the most intuitive programs available to use data science that does not require programming.
Includes widgets for #imageanalysis #timeseries #spectroscopy #bioinformatics #geolocation #associationrules, #cellularbiology #bioinformatics #survivalanalysis ... -
v1.1.0 of {ggsurvfit} 📦 is on CRAN!
This release primarily includes updates to account for changes in the {survival}📦, but does include a few other gems.
-
v1.1.0 of {ggsurvfit} 📦 is on CRAN!
This release primarily includes updates to account for changes in the {survival}📦, but does include a few other gems.
-
v1.1.0 of {ggsurvfit} 📦 is on CRAN!
This release primarily includes updates to account for changes in the {survival}📦, but does include a few other gems.
-
v1.1.0 of {ggsurvfit} 📦 is on CRAN!
This release primarily includes updates to account for changes in the {survival}📦, but does include a few other gems.