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🚨 New blog post (a series!) An Illustrated Guide to Targeted Maximum Likelihood Estimation 🎯 Part 1: motivation for “targeting” an estimand for inference and why we can & should incorporate data-adaptive/machine learning models 🧵1/ khstats.com/blog/tmle/tuto… #causaltwitter

🙇‍♀️ So excited that our committee was awarded the ASA Biometrics Section grant so that we can continue to build the #BridgetoBiostats 🌉

Actually for those interested the 📦 ‘s website might be useful — axelitomartin.github.io/OncoCast/ — feedback welcome 🙏

Can tumor genomics help predict which patients are at risk for recurrence after resection of LUAD? We show that integration of genomic/clinicopathologic factors improves risk stratification and prediction of recurrence compared to the current TNM model. jamanetwork.com/journals/jamas…

spotlight on #R📦 FACETS by Ronglai Shen Venkat Seshan to study Copy Number alterations in WGS, WXS and targeted panel platforms to guide treatment decisions based on tumor purity, ploidy and clonal heterogeneity adjusted integer CN calls. #Rstats #genomics github.com/mskcc/facets

My perspective of life in NYC last spring as a biostatistician on Covid-19 response efforts is in this month's Significance. It's very personal writing, but I tried to use my own experiences to capture the escalation and shared emotions of the time.

Excited (abd a bit nervous!) to be on my very first panel! #ENAR2021

Biostatisticians often get asked, "What exactly do you do?" @rkatlady has a great blog post that breaks down our day (and by hour!). Most of what we do involves: 👩‍💻🧑‍💻programming 📝writing 📚reading 🤝meeting & much more!

Using #genomic and #epigenomic meta-features to predict the tissue of origin of cancer from the hidden genome of #RareVariants: new #CancerResearch paper by Saptarshi Chakraborty Axel Martin Colin Begg Ronglai Shen Cancer at Nature Portfolio go.nature.com/3uqzvGo

📣Yours truly made an appearance in this month’s ASA magazine!! Memorial Sloan Kettering Biostatistics Service Computationally Yours Podcast 🎙 @92Y check it out - “P is for Podcaster and Potter! And P-value!”. Honored to share a bit about myself 🙇🏻‍♀️

The Australien Government has made an ad about Carbon Capture and Storage, and it’s surprisingly honest and informative. #CCS

📅 Join us for the next #MSKBiostats seminar next Wed 5/4/2022 10;30am ET with guest speaker Iván Díaz on Causal survival analysis under competing risks using longitudinal modified treatment policies 📩 Email Christy Rajcoomar to register: [email protected]

Woohoo!! 🥳 new package alert! #genomics #RStats

👀We spy {genieBPC} on this list! #MSKBiostats Jessica Lavery, Sammi Brown, Mike Curry, Karissa Whiting, Axel Martin & Daniel Sjoberg collaborated on the {genieBPC} R package, a data processing pipeline for working with the AACR #GENIEBPC data genie-bpc.github.io/genieBPC/

🎉👏 #MSKBiostats Jessica Lavery, Sammi Brown, Mike Curry, Axel Martin, Daniel Sjoberg & Karissa Whiting recently developed {genieBPC}, a user-friendly #rstats package for processing complex clinico-genomic data from AACR Project #genieBPC academic.oup.com/bioinformatics…

📢🔥🚨#MSKBiostats Memorial Sloan Kettering Cancer Center is #hiring a #statistics immuno-oncology postdoc 🔗tinyurl.com/msk-postdoc02 📩A cover letter, cv, and the names of 3⃣references to Dr. Ronglai Shen ([email protected]) 📌Successful applicant will be supervised by Drs. Ronglai Shen & Kathy Panageas

✨A new release of {cbioportalR} v1.1.0 is now available on CRAN! {cbioportalR} provides #rstats users with user-friendly functions for direct access to genomic and clinical data from the cBioPortal web resource. karissawhiting.com/cbioportalR Updates include: 🧵

Today I want to highlight the {genieBPC} #rstats package by Jessica Lavery, Sammi Brown, Hannah Fuchs, Axel Martin, Daniel Sjoberg, and myself (Karissa Whiting). It offers functions for pulling and processing data from the AACR GENIE BPC Project genie-bpc.github.io/genieBPC/ #cran

After pulling & QAing #genomics data, the {gnomeR} package (by Hannah Fuchs, Arshi Arora, Axel Martin, Karissa Whiting, Mike Curry and more) helps #rstats analysts process it into an analysis-ready format. Docs: mskcc-epi-bio.github.io/gnomeR/index.h… #rstats examples below 👇🧵