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Women in Statistics and Data Science
WomenInStat
I’m going to begin today with a bold claim: Being an applied statistician is a lot like being an ethnographer. I say this both based upon years of experience working
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I work primarily with nested data. One example is in experiments, with students nested in schools. Another is meta-analysis, with effect sizes nested in studies. In this thread, I’ll focus
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Tweetorial on going from regression to estimating causal effects with machine learning.I get a lot of questions from students regarding how to think about this *conceptually*, so this is a
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Tomorrow I'm giving a lecture to residents and fellows at St. Chris Children's Hospital about collaborating with a statistician. When I was asked to do this, I was invited to
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Gather around so we can talk briefly about assessing your MCMC samples. As you may know, MCMC sampling is often used in Bayesian statistics. However, you can use MCMC to
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Let's do a thread on generalized linear mixed models. I have a meeting at 1, so I'll hammer out everything I can in the next 29 minutes! (1/) I like
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Let's extend the linear model (LM) in the directio of the GLM first. If you loosen up the normality assumption to instead allow Poisson, binomial, etc (members of the "exponential
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Ready or not, here comes a thread on making R packages. I want to tweet about this on the Women in Stat account because women are underrepresented as R package
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Should we start with mentors and support systems? A single mentor won't cut it. You'll have questions your mentor can't answer. Your mentor will have times when they're busy/stressed. I
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IS A (BIO)STAT PHD RIGHT FOR ME?Prospective students ask me this several times a year. It’s a tough one. I am super enthusiastic about stat and data science careers. It’s
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SURVIVING THE ACADEMIC JOB INTERVIEW FOR NERDS!Here are my thoughts on how the nerdy and introverted can deal with a situation that demands a lot of social interaction – the
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GOOD MORNING, NERDS, LET’S TALK ABOUT NETWORKING!As a nerd and off-the-scale introvert the idea of networking used to keep me up at night. Randomly walking up to strangers at a
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