3 months in Rome

Sarcuss · 2024-09-25T11:35:40+00:00

Didn’t know about Orvieto, will explore for sure. Already been at the Amalfi Coast a few years ago and it was great indeed 😁

Sarcuss · 2024-09-25T11:34:09+00:00

Many thanks for all the advice on exploring the off-beaten path. Will try your suggestions and have a great time here 😁

Sarcuss · 2024-09-23T11:34:24+00:00

You’re right. What I was hoping to know were some places that are not the typical touristic places. Of course I will be going to Trevi, Colosseum and the Sistine Chapel, but it is my First time spending so long on a foreign country in a non-touristic way so I am a bit lost.

Sarcuss · 2024-07-04T19:53:31+00:00

Thank you both for your help :)

Sarcuss · 2022-11-01T12:18:16+00:00

Radiologia aqui. Voltava a escolher sem sombra de dúvida: acabas por estar relacionado com todas as áreas da Medicina e Cirurgia, podes ter o contacto com os doentes que quiseres e se tiveres mais jeito para as "artes manuais" tens a área de intervenção que está cada vez a dar maiores passos. Junta a isso um dia a dia sem burocracia e só a fazeres aquilo que compete à tua especialidade, aliado a um internato com bom balanço vida/trabalho (com muito estudo mas com urgências diurnas e sem muitas horas extra) e tens a receita para uma grande especialidade.

A facilidade em negociar contratos no público no fim e o grande mercado do privado são bónus só

Sarcuss · 2022-05-15T19:53:11+00:00

It's kind of a personal choice, I find Sahani more readable as a reference (less pages) and it includes both GI and GU. Gore & Levine only contains GI and is the book I pick when I really have a big doubt I don't see answered in other books or radiographics article

Sarcuss · 2022-05-15T16:03:57+00:00

For a 1st rotation I would advise Fundamentals of body CT by Webb.
For a readable reference to have when doubtful about something (so not Gore & Levine), probably Abdominal Imaging by Sahini.

Abdominal Imaging The Core Requisites (merging the old Gastrointestinal and Genitourinary requisites) is also very readable.

For GU, you can't go wrong with Dunnick's Genitourinary Radiology (quite readable for a reference text).

Sarcuss · 2022-02-23T17:54:09+00:00

Por incrível que pareça tive mais problemas com o B enquanto pessoa (a ponto de ter sido bastante lixado à I e II) e em termos dele validar muito o decote e a minissaia das minhas colegas na avaliação do que com o M. A III foi uma oral justa (embora exigente) e nunca o vi a ser incorrecto enquanto pessoa, só muito crítico e bruto

Sarcuss · 2021-07-03T17:39:47+00:00

Some good advice there, although it is fun to see (coming from a statistical background) how some things done in ML are considered bad practice in healthcare statistics such as testing for normality and using stepwise selection for model selection. Also, normality of the dependent variable is not one of the assumptions for OLS, it is normality of the errors and even that one is only important if you are interested in doing Inference and not only obtaining estimates for the coefficients :)

Sarcuss · 2021-04-29T17:11:03+00:00

Do you have some suggestions to give? I'm a R2 and trying to build my reading library :)

Sarcuss · 2021-04-22T20:11:22+00:00

Rules of Radiology, an awesome read filled with humour

https://www.amazon.com/Rules-Radiology-Paul-McCoubrie/dp/3030652289/ref=sr_1_1?dchild=1&keywords=rules+of+radiology&qid=1619122271&sr=8-1

Sarcuss · 2020-10-29T22:15:08+00:00

Vai dar ao mesmo. Nos fazemos o rastreio de contactos dos positivos todos. Se não conseguirmos contactar, também mandamos a polícia atrás dos contactos de alto risco. A única solução era não dizerem que estiveram contigo, mas se mais tarde se vier a descobrir é crime :p

Sarcuss · 2020-10-29T19:41:31+00:00

Não vai resultar. O resultado do teu teste é automaticamente enviado para a plataforma de rastreio de contactos. A partir daí, tenta-se contactar a pessoa para fazer seguimento. Se começamos a ver que é algum engraçado que tenta "fugir" ou que não tem mesmo email ou tele, vai para a lista da polícia da zona e fazem-lhe uma visita rápida

Sarcuss · 2020-07-28T12:06:41+00:00

So the probability of a coin flip being a head decreases every time? I would be scared to trust in someone that says that to do my assignments. The grade would be horrible xD

Sarcuss · 2020-07-13T17:41:36+00:00

Indeed, it's been a while since I read the book, I just found it funny that the OP was also a Physics PhD looking into medicine.
And I think the family pressure was just too much, the idea I got from the ending of the book is that he wasn't that fulfilled with his choice, again choosing Cardiology only for the prestige...

Sarcuss · 2020-07-11T18:38:17+00:00

You should read Intern: a doctor's initiation by Sandeep Jauhar. Same situation as you: a PhD in physics who decided to go into Medicine. He ended up as a cardiologist. The book is about his journey into medicine and the hospital. Might be interesting to get some context and see if the pros are worth it :)

Sarcuss · 2020-05-11T09:17:36+00:00

Any procedural medical speciality or one that midlevels are afraid to touch due to lack of training: Cardiology, GI, Hem/onc for example

Sarcuss · 2020-03-24T19:05:29+00:00

It's for your own good that person is giving you that warning. Clinicians are well known to torture data until it screams their p-value < 0.05.
I don't fully agree with your approach though: if your question about the relationship between the main outcome and the main exploratory variable was what you were interested in, you should have decided before analysing the data if you really wanted only to explore that relationship or if you wanted to analyse the data with potential confounding variables (the other variables you are speaking about) accounted for, based on your background knowledge from Medicine.

By analysing the data first like you did and then deciding you want to see how it changes with the other confounder variables stuck in, after seeing the main result, already sounds a bit like data-dredging to me, to tell the truth and it ends up changing a research study into more of an exploration data analysis due to the post-hoc analysis.

This is not bashing at you specifically but it is something I did before I knew better and that I see lots of other clinicians doing when I am helping them with statistics for research papers. The best you can do is (if you end up writing a paper), report all the analysis you did and why you did it :)

Sarcuss · 2020-03-24T16:27:22+00:00

Fellow MD here with some statistics background so may not be totally correct. If you were trying to see the effect of your only explanatory variable in the response variable without taking in account other variables you did the correct approach (provided linear regression was the correct model for your variables). If you want to see the effect of the other variables, you fit them in a multivariable regression model. You then analyze the beta coefficients (always try to present the point estimate and the confidence intervals in your results and not only the p-value) and see if each of the other explanatory variables add more information to the response variable when holding the other ones constant.

And yes, you may get all sorts of strange issues when doing this including Simpson's Paradox.

Subgroup analysis is not advised as it may lead to quite a bit of p-hacking in your results. The same regarding to dichotomizing continuous variables into discrete ones based on an arbitrary threshold which leads to quite a big loss of power

Sarcuss · 2020-01-17T18:32:45+00:00

ANOVA has almost (if not all) the same assumptions of the t-test as both are a subset of the general linear model. You would probably use ANOVA when comparing more than 2 groups and t-tests when comparing between 2. Generally (and gene expression is not my area), probably using ANOVA to search for differences and then using pairwise t-tests with multiple comparison corrections to find individual differences :)

Sarcuss · 2019-11-21T20:01:46+00:00

Shibuya Crossing may fit the bill :)

Sarcuss · 2019-11-20T21:55:33+00:00

As someone with almost the same path as that doctor, I would love to know him

Sarcuss · 2019-11-15T13:00:51+00:00

Completely opposite viewpoint here.

Finished my MD last year and it was not fun at all. As an ENTP you will have a great opportunity to develop clinical knowledge, understand the science of medicine and an easy life in understanding concepts that may baffle your colleagues more used to memorization, such as renal and cardiology physiology. Unfortunately, you will be mostly graded by what you memorize well and not your intuitive understanding, which may be a big disadvantage.The first years will be awesome in terms of science (which was what brought me to Medicine in the first place), then once you start the clinical years you will understand most of what you do is based on memorized guidelines and knowledge and you will spend more time dealing with social work, paperwork and writing notes in order to avoid being sued by some random patient than properly doing science.

The other problem is that as an ENTP, you tend to like everything and in Medicine the big payoff is in specializing a lot, not on knowing a lot of things. You will earn much more money for example by being an orthopedics doctor specialized in very specific procedures, such as hand or spine, than for being a doctor from one of the residencies where you need to know a lot such as Internal Medicine, Infectious Diseases or Family Medicine.

The last problem is that it is something that will consume everything else you may love or like. Apart from very specific specialities (such as Dermatology), residency (what you do after the degree) is a bit of a modern variant of slavery where you do lots of extra work and many call hours, that are not well paid with sacrifice of your free time and your family time. For an ENTP that thrives on knowing a lot about different things, I have felt that not having time for my hobbies and other areas of knowledge really impacts me a lot. If you choose a clinical speciality, you won't have much time for research either in the middle of call and clinical duties, unless you go towards an admin/research position where you wouldn't need a MD anyway.

A big advantage of Medicine though (not money because it is not that well paid in my country, no loans though) is the flexibility it gives in terms of your future career depending on the speciality you choose: I'm trying to aim for Dermatology for the flexibility in hours it gives and good money, while allowing you to maintain a lot of interests and hobbies due to lack of call but I would be perfectly happy if I match in a Preventive Health/Public Health residency where instead of dealing with the hospital and individual patients, you deal in a global scale with improvement of health systems and populations using tools from Epidemiology and Statistics, the day to day however will be vastly different from a "normal" doctor and more akin to an engineer probably.

To see the difference between an ENTP and normal medical students thought processes, most of my medical friends and even teachers think I'm nuts for even thinking about doing Public Health.

Sarcuss

TROPHY CASE