Nicole Erler

Assistant Professor at the Dept. of Data Science & Biostatistics @umcutrecht
Missing Data, Bayesian Methods, Personalised Medicine, ... #rstats 📦#JointAI

[Maarten van Smeden @MaartenvSmeden]

🚨Hiring a new fully funded PhD student🚨

We are searching for an enthusiastic PhD student to work on cutting edge methods research, working on methods to combine knowledge from cardioelectrophysiology, 'conventional’ ECG analysis and machine learning

https://t.co/wJVsFEbQ6t

[Timothy Hayes @letsnotbehayest]

New missing data paper just dropped, in collaboration with my friends @ABarPhD and @DrStefanyC! =D

https://t.co/sEwoF4LWB9

Come for the data mining, stay for a discussion of some oft-overlooked nuances of different MAR missing data mechanisms. 1/

[Oisín Ryan @Oisin_Ryan_]

We're hiring!

Want to work on developing better methods for causal inference with large-scale databases? All while helping answer research questions with direct societal relevance?

Come join our fast growing Real-World Evidence team at UMC Utrecht!
https://t.co/zZCT2fz1IQ

[E.R. Andrinopoulou @ERandrinopoulou]

Looking forward to presenting my work on unveiling the impact of social and environmental determinants of health on lung function decline in Cystic Fibrosis through data integration using the US Registry
https://t.co/eEUQThiNpn

@iscb45 @ISCB_info #ISCB

[Wouter van Amsterdam @WvanAmsterdam]

In a recent piece by @alexgoesviral in #BiotechNEWS I share some of my thoughts on "Is the AI boom over, or is the best still yet to come in the Life Sciences?"

pdf available here: https://t.co/sIPzf7N0xp

[Nicole Erler @N_Erler]

@WvanAmsterdam @alexgoesviral The link brought me to a registration page, but I found the article here: https://t.co/GJnKwH9OV3

[Nicole Erler @N_Erler]

With @zwyang96:

[BMS-ANed @BMS_ANed]

BMS-ANed meeting: Thursday June, 20th with Zhenwei Yang, @DeliuNina and @ThomasKlausch on "Statistical and Machine Learning Methods for Sequential Decision Making". Registration is still open:
https://t.co/aZD1outxLy

[BMS-ANed @BMS_ANed]

BMS-ANed meeting: Thursday June, 20th with Zhenwei Yang, @DeliuNina and @ThomasKlausch on "Statistical and Machine Learning Methods for Sequential Decision Making". Registration is still open:
https://t.co/aZD1outxLy

[Dimitris Rizopoulos @drizopoulos]

Interested in applications of machine learning and statistics for sequential decision making? Join us at the BMS-ANed spring meeting: https://t.co/ZyNIcJlmqi

#epitwitter #statstwitter

[Ewout Steyerberg @ESteyerberg]

We are still searching candidates with interest in machine learning for time series data

[Dimitris Rizopoulos @drizopoulos]

Proud of Anirudh Tomer for receiving the Hans van Houwelingen Biometry Award from @BMS_ANed for his work on personalized schedules with joint models.

Looking forward to organizing an event on this topic next year!

#jointmodels #statstwitter #rstats

[Dimitris Rizopoulos @drizopoulos]

Very proud of our students @p_m_afonso (supervised together with @ERandrinopoulou) and Zhenwei Yang (supervised together with @N_Erler) for receiving an #ISCB44 Student Award!
#jointmodels #statstwitter #epitwitter #Rstats

[Frank Harrell @f2harrell]

Wonderful new paper on serious problems with standard confidence interval for a probability. Why are we still using it as opposed to the Wilson interval (or better: Bayes) https://t.co/gL6vAeH2Oc

[Richard Riley (R²) @Richard_D_Riley]

"A Conversation with Sir David Cox"
- Nancy Reid https://t.co/STIqII3MFa

Open-access fascinating interview from 1994
Many gems but really like quote below where he pushes back against always using Cox model

Refreshing to see honest reflection (eg, contrast to current AI hype)

[MICE @MICEamices]

How to fairly evaluate imputation methods? @OkregK and @hioberman outline potential pitfalls for simulation studies and a proposed course of action in 'Toward a standardized evaluation of imputation methodology'

https://t.co/ZlQKXPpgnt

[Maarten van Smeden @MaartenvSmeden]

NEW PAPER
A plea for moving away from the false dichotomy between statistics and machine learning. All credits should go to @IAmSamFin for setting this up w/ @AndrewLBeam in @JAMAPediatrics
https://t.co/NKuJVEmGwy

[Wolfgang Viechtbauer @wviechtb]

This Friday at 5pm CET, I will give a free 7+ hour workshop on meta-analysis with R and the metafor package, prior to the Evidence Synthesis & Meta-Analysis in R Conference (https://t.co/6MhTy990gl) which starts next week. https://t.co/RfqTAf4Sj7 #Rstats #MetaAnalysis #ESMARConf

[Dimitris Rizopoulos @drizopoulos]

Are you interested in novel combinations of joint models with machine learning and causal inference? Then our new PhD position is the right place for you.

You will work together with Ellen Hamaker and me in the context of the Stress in Action project: https://t.co/NhEHHlQbyG

[Richard Riley (R²) @Richard_D_Riley]

So, this tweet is just to encourage other statisticians & methodologists to know that it is OK to stand-up for yourselves - your input should be properly valued and recognised (as is the case for all researchers too, of course)

[Frank Harrell @f2harrell]

Impute inclusion/exclusion criteria when missing? Interesting question and interesting answer: https://t.co/YXE3X2Y3J5 #Statistics #biostatistics @vandy_biostat @VUDataScience #rmscourse