I wanted to do a Q&A video to celebrate Very Normal’s 100K subscriber milestone. If you have a question to ask me, this would be the place to do it! I’ll try to cover as many as I can.
Congrats on 100K! I have a couple questions, ranked in order of priority for me:
1. What innovations or areas of growth do you see in biostatistics in the future?
2. What factors made the job that you will start your dream job?
3. I have seen people recommend going into industry after undergrad, and then doing a phd, whilst other say it is very hard to get a place to do a phd if you have stepped out of academia - do you have any thoughts on this or any other comments on doing a phd?
4. What made you pick biostatistics, rather than just statistics?
If there are 3 books that you would recommend to start with mathematical statistics from undergraduate level to graduate level, what would they be and why?
Congrats on your 100k subs as well as completing your PhD! I loved your new video. Can you please make a video on a roadmap for self study of statistics to a graduate level and beyond, for someone just getting started? Would appreciate it. Cheer!
you've mentioned your zettelkasten system before, how would you say you use it and how has it aided you in your studying/learning! would you say its a central place where you do your drafting to refining of ideas or just a place where you consolidate everything?
This has less to do with statistics as a whole and more to do with advice on being a student (tldr at the bottom). As an undergrad in a statistics heavy program, I find myself feeling unprepared for upcoming classes. Although I’m happy with my grades, a lot of the times it’s as if my brain forgets all the semesters content the moment I finish my finals and that I’m studying for the sake of decent grades and not gaining a deep (relatively deep, I understand I’m just an undergrad) understanding of the content. I often find myself stressing over the summer/winter breaks about all the lost knowledge, which makes me lose motivation to do any meaningful revision during those breaks, to the point where I debate on whether or not I should even be doing revision or if I should be relaxing. Have you ever experienced anything similar, or do you have any advice that may help me and/or anyone experiencing similar issues?
Tldr: How can someone build their knowledge retention when it comes to statistics and when is it appropriate to take breaks over revision during the summer/winter.
Thanks for your videos and congrats on 100K subs. I would be really interested on a video demonstrating how to calculate Repeatability of a biological parameter (assumed sufficiently stable compared to the experiment length) and following on from that how to determine Reproducibility (e.g. different clinicians/operators, patient recumbent verses supine). It seems these topics are not well covered by creators.
While waiting for your video on problem of time in classification, had a question (request), could you also explain : Gaussian mixture conformal time series forecasting -and- how instead of EM algorithm a KL divergence minimizer may be used so SGD algo may be applied.
While waiting for your video on problem of time in classification, had a question (request), could you also explain : Gaussian mixture conformal time series forecasting -and- how instead of EM algorithm a KL divergence minimizer may be used so SGD algo may be applied.
You mentioned that you do work in Design of Experiments in another video, when do you think you'll do a videos) on that topic? Can you describe your work on experiment design please?
I realised many years after passing university that I absolutely love statistics. It's such a rich subject with wide spread applications, even in daily and mundane life activities. Unfortunately, at university i absolutely abhorred it, barely managing to pass. I guess, because of the nature and the pedagogy adopted while teaching. If you were to give a basic intro to stats to a recent high school grad, making them understand the importance of it, what sources would you use? Books, blogs, video lectures, academic literature, anything would be appreciated.
First, you’ve been my favorite go-to stats YouTuber, always love seeing a new upload from you! Second, I often share your videos with my lab so they can introduced to important stats topics so thank you for being a positive force in my circle.
Anyway my question is a bit broad:
Without using any jargon, how would you recommend somebody should think when approaching solving a problem with statistics? Philosophically or technically speaking, what is a good mindset from your experience?
When given a problem to analyse a dataset, how would you go about it? What intial steps would you take first and what kind of edge cases would you check for to avoid them? I want to understand your thought process as a statistician (how you look at the problem).
How strong was your understanding of linear algebra going into statistics? What resources or strategies helped you build that understanding?
Congrats on 100K! I have a couple questions, ranked in order of priority for me:
1. What innovations or areas of growth do you see in biostatistics in the future?
2. What factors made the job that you will start your dream job?
3. I have seen people recommend going into industry after undergrad, and then doing a phd, whilst other say it is very hard to get a place to do a phd if you have stepped out of academia - do you have any thoughts on this or any other comments on doing a phd?
4. What made you pick biostatistics, rather than just statistics?
Thanks!
If there are 3 books that you would recommend to start with mathematical statistics from undergraduate level to graduate level, what would they be and why?
Congrats on your 100k subs as well as completing your PhD! I loved your new video. Can you please make a video on a roadmap for self study of statistics to a graduate level and beyond, for someone just getting started? Would appreciate it. Cheer!
you've mentioned your zettelkasten system before, how would you say you use it and how has it aided you in your studying/learning! would you say its a central place where you do your drafting to refining of ideas or just a place where you consolidate everything?
Not a question but you've been my inspiration to take up statistics in my masters! Love your content, thank you so much!!
Do you think stats is taught well at schools ? - if not then how would you teach it instead ?
This has less to do with statistics as a whole and more to do with advice on being a student (tldr at the bottom). As an undergrad in a statistics heavy program, I find myself feeling unprepared for upcoming classes. Although I’m happy with my grades, a lot of the times it’s as if my brain forgets all the semesters content the moment I finish my finals and that I’m studying for the sake of decent grades and not gaining a deep (relatively deep, I understand I’m just an undergrad) understanding of the content. I often find myself stressing over the summer/winter breaks about all the lost knowledge, which makes me lose motivation to do any meaningful revision during those breaks, to the point where I debate on whether or not I should even be doing revision or if I should be relaxing. Have you ever experienced anything similar, or do you have any advice that may help me and/or anyone experiencing similar issues?
Tldr: How can someone build their knowledge retention when it comes to statistics and when is it appropriate to take breaks over revision during the summer/winter.
Congrats on the 100k !!!
Thanks for your videos and congrats on 100K subs. I would be really interested on a video demonstrating how to calculate Repeatability of a biological parameter (assumed sufficiently stable compared to the experiment length) and following on from that how to determine Reproducibility (e.g. different clinicians/operators, patient recumbent verses supine). It seems these topics are not well covered by creators.
Big love to your channel.
Congrats! God bless!
While waiting for your video on problem of time in classification, had a question (request), could you also explain : Gaussian mixture conformal time series forecasting -and- how instead of EM algorithm a KL divergence minimizer may be used so SGD algo may be applied.
Congrats! God bless!
While waiting for your video on problem of time in classification, had a question (request), could you also explain : Gaussian mixture conformal time series forecasting -and- how instead of EM algorithm a KL divergence minimizer may be used so SGD algo may be applied.
What are your thoughts on the various econometric frameworks (i.e., potential outcomes vs pearlian causal graphs etc)?
You mentioned that you do work in Design of Experiments in another video, when do you think you'll do a videos) on that topic? Can you describe your work on experiment design please?
I realised many years after passing university that I absolutely love statistics. It's such a rich subject with wide spread applications, even in daily and mundane life activities. Unfortunately, at university i absolutely abhorred it, barely managing to pass. I guess, because of the nature and the pedagogy adopted while teaching. If you were to give a basic intro to stats to a recent high school grad, making them understand the importance of it, what sources would you use? Books, blogs, video lectures, academic literature, anything would be appreciated.
Will you cover the statistics of differential gene expression in RNA-seq or scRNA-seq?
It kinda astounds me that we're still using the Mann-Whitney test at the end of it in DESeq2.
First, you’ve been my favorite go-to stats YouTuber, always love seeing a new upload from you! Second, I often share your videos with my lab so they can introduced to important stats topics so thank you for being a positive force in my circle.
Anyway my question is a bit broad:
Without using any jargon, how would you recommend somebody should think when approaching solving a problem with statistics? Philosophically or technically speaking, what is a good mindset from your experience?
What is the best thing for someone starting grad school to do to make it through and earn a PhD?
Congratulations, man. Congratulations.
During the job search, did you consider or apply to jobs outside of pharma?
How did you choose the path of biostatistics? I’m nearing my undergrad and feel like I have all these tools and nowhere to apply them.
When given a problem to analyse a dataset, how would you go about it? What intial steps would you take first and what kind of edge cases would you check for to avoid them? I want to understand your thought process as a statistician (how you look at the problem).
In your signature thorough and detailed way explain autocovariance and the effect it has on MSE and variance modeling? Thank you
Do you think stats is taught well at schools ? - if not then how would you teach it instead ?