Carlos Fernández-Escobar on LinkedIn: Enhancing Survival Analysis in R with Custom Functions (2024)

Expanding my understanding of survival analysis.

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If you like getting a birds eye view of statistical concepts and want to learn more about Factor Analysis and Principal Component Analysis, I highly recommend these two episodes from Quantitude. Then, the last episode on Construct Validity will remind why we need to be cautious with some of our methods when interpreting findings.S1E22: https://lnkd.in/gGwmQgqNS3E03: https://lnkd.in/gUu_gca2S2E33: https://lnkd.in/gW3PvjUd#research #dataanalysis

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📽️ Multilevel (hierarchical) survival models: Estimation, prediction, interpretation ⬇️Check out Senior Biostatistician Alessandro Gasparini’s seminar for an introduction to multilevel survival analysis, including an expert tour of #Stata commands 💻🧐#biostatistics #research https://lnkd.in/dKhNb9Xx

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Buried in this post is a discussion of my upcoming workshop on causal inference (starting Saturday September 9) for anyone who wants to come. But I wrote other stuff too.https://lnkd.in/eKkfbevb

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Blogs are a great way for people who have the time, training and brain power to go deep into various topics and share the depth with others. I wish I had those three elements, but I just don't. One of those deeper dive blogs is Statistical Thinking by Frank Harrell. Totally worth the time. https://www.fharrell.com/thinking of you David Beltran-del-Rio

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💥 We're Returning from Our Newsletter Siesta with a Bang!📩 Diving right in, after our brief hiatus, our latest newsletter is ready for you, packed with the latest updates and what's next on our calendar. Here's a sneak peek:🔍 Recent Releases & Highlights:🛠 PyMC 5.8.0: Introducing do-operator and faster sampling with JAX📈 CausalPy 0.1.0: Bayesian instrumental variable estimation, custom bandwidth & epsilon in RegressionDiscontinuity classes.📊 PyMC-Marketing 0.2.1: Simplified model building with Numpy array support in model_config.📆 Upcoming Events Not to Miss:🥎 Developing Hierarchical Models for Sports Analytics💬 Latent Calendar: Modeling Weekly Behavior with Latent Components🤔 Curious about the 'What If' scenarios in your data? Our 'do operator' is here to make it happen!🔗 Catch the full Newsletter: https://lnkd.in/d37UVrDf📡 Stay tuned for more updates, and as always, happy modelling!🙂#PyMC#bayesian#DataScience#BayesianModeling#NewsletterHighlights#DataDrivenDecisions#Machinelearning#Analytics#PyMCLabs#HierarchicalModels#AnalyticsEvents

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NEW VIDEO: Inferential Statistics FULL Tutorial - Learn about key inferential tests including t-tests, ANOVA, chi-square, correlation and regression - https://buff.ly/3MJt4df #dissertationwriting #thesiswriting #dissertation #thesis #phdlife

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Just completed the course "Build Your Analytical Skills with Statistical Analysis" by Eddie Davila! This course took me from basic statistical concepts to diving into experimental design, ANOVA, and regression analysis. Now equipped to unravel insights and make data-driven decisions! 🚀🔍 #StatisticalAnalysis

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Hello friends! Ever wondered about the world of sampling? Well, wait no more! Join us as we step into the fascinating realm of sampling, where you'll uncover the key steps to crafting successful research journeys, from defining populations to determining sample sizes. Get ready to explore diverse methods tailored to meet specific research needs, ranging from random sampling to multistage sampling. Let's embark on this thrilling adventure together!#sampling #researchmethodology #surveydesign #statistics #datascience #machinelearning #deeplearning

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The mmiCATs R package is now available on CRAN. Learn more about the package and cluster adjusted t statistics (CATs) on the mmiCATs Release Party blog post:https://lnkd.in/emBApUxg