Toggle navigation
TWunroll
TWunroll
faq
Contact US
Women in Statistics and Data Science
WomenInStat
I've been given a large platform this week. I am a cis white woman and I have immense privilege. Since joining NYU seven years ago, I have been working and
Read more
I fundamentally believe that statistics is a field that is meant to be in service of solving real problems in the world. 1/8 I have great respect for those who
Read more
Let’s talk data preparation! Data in the real world is usually pretty dirty, and data cleaning may seem like a chore, but it is a vital step for any modeling
Read more
Epidemiologists have a lot of words that start with "C": Causal (inference). Cohort. Collider. Collinearity. Counterfactual. Case-Control. However, a very important word that requires a lot thought in study design
Read more
Fixed effects models are a great choice for longitudinal #epi research if: 1) your independent variable of interest is time-varying (& variation is present in the data), 2) you have
Read more
In data science, often we have a lot of data and want to parallelize our algorithms so they complete faster. For example, when you call a sklearn function, you have
Read more
Today I will be talking about some of the data structures we use regularly when doing data science work. I will start with numpy's ndarray. What is an ndarray? It's
Read more
During my leave I’ve really enjoyed reading about the inspiring women trailblazers in statistics who paved the way for us. Here are some of my favourite quotes in chronological order.
Read more
I’m a socio-economic statistician working with fab @HuttonSEGS & @rowett_abdn colleagues mostly on survey data. I’m extremely lucky to interact with researchers open to new techniques (to them), but effective
Read more
Today, we’re going to play a game I’m calling “IT’S JUST A LINEAR MODEL” (IJALM).It works like this: I name a model for a quantitative response Y, and then you
Read more
So, a little bit about me. I already mentioned that I work @UW and that I am a proud card-carrying statistician. I am also the mother of 3 extremely cute
Read more
As a professor at a big university, a lot of people come to me for career advice. Undergrads ask me — how did I decide to become a statistician and
Read more
‹
1
2
›
By continuing to use the site, you are consenting to the use of cookies as explained in our
Cookie Policy
to improve your experience.
I agree