My 2004 Lada Niva, self built project car

I bought the car 4 years ago. It started out as a simple and cheap russian 4×4, with 83 hp, center diff lock and low gear transmission.

At first I wanted just to fix some issues but something went wrong and here we are. Every part of the car is either modified, rebuild or fixed. We added new bodykit, wide fender flares, Full LED lighting system, completely modified the interior, installed reupholstered seats from bmw e36, every electronic component in the interior was changed with more advanced one from other vehicles. For now engine is mostly is stock, we custom made a stainless steel exhaust and did some modifications to belt tensioner. Stock 83 hp engine is fine in the city but not on the highway, so Im planning to do a turbo kit installation or swap 3s-ge from Toyota. There are various transmission and chassis modifications as well, if interested I can list them.

I managed to get original Enkei Algernon r18 wheels, and ordered wheel hub adaptors to install them. Most of the modifications I did by myself, but the gearbox, transbox, diff rebuilds and the reupholstery of seats and door trims were done by professionals.

Here are some pictures of the car:

And a video:

And this is how it looked when I bought it:

How the interior was made:

submitted by /u/266785
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To those of us who bought a new car recently – why did you buy that car?

I recently gave up my first car, a black 2005 Honda Accord EX, for my pepperdust metallic 2018 Chevy Cruze LT. I really wanted to keep my Accord for another few years, but with all the money I paid in repairs in my year of ownership matched with what recently broke (AC compressor, motor mounts, radiator thermostat), I decided to cut my losses. I didn’t want to sink more money into fixing another used car now and again, so I said to hell with it and decided to go brand new. I put together an idea of what I could afford, what would best fit my needs, and what’s in local inventory. Out of all the options (Impreza, Civic, Mazda3), I went with the Cruze because Chevy had offered the LT with the convenience package for a steal with rebates and my trade in value, and believe it or not it’s a pretty good econobox. Plus, I love this color and it was the only one in a rough 25 mile radius. Had it since last Thursday, already put over 500 miles on it. My only regret was not trying out a Malibu because damn I love mid sized cars.

What did you guys recently pick up? New, used? Why that specific car over another, or why that color or package? I wanna know who’s happy with their purchase!

submitted by /u/myphonesucks0618
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Can I reverse the metodology for time-dependent ROC curves?

I have a very large dataset with 5 columns:

  • Contagious_date
  • Measurements_date
  • Measurement_1
  • Measurement_2
  • Death_date

I want to find out which measurement is better. To do so, I am using time-dependent ROC curves.

Prior knowledge:

  • Death will happen a year after the contagion, maybe a year minus or plus two weeks. Death in fact distributes like a thin normal around the year.

  • I will not know for sure when the contagion happend in most cases (but I do have a subset of animals that were administered the disease on purpose so for them, I do have the exact date).

  • Both measurements are indicators of disease advancement are made at the same time for each subject, and are a blood concentration of substance X. I only have one measure of each kind for each subject at one particular time.

  • In theory, both measurements are more correlated with contagion date than to death date, because death date can be more influenced by external factors. I rather want a contagious date than a death date. More than when the subject is going to die, I want to know when the concentration of substance X is going to be at particular number, and it always happen a year after the contagion, “independently” of when the subject dies.

  • I do have censored data, when subjects die for any other causes.

I have succesfully done the ROC curves for both measurements to estimate the death date, they are acceptable but not good. My question is, can I perform a reverse time-dependant ROC curve? I talk about trying to estimate the contagion date instead of the death date, I just need to reverse the measurements and see how good they are estimating contagion date with that subset of my sample that has those exact dates. I couldn’t find any examples in the literature so far…

Also, when I say “can I” I mean if I should… I have already done it and results are better than when I do it with death date, but I don’t know if it is an acceptable metodology… Have you ever heard of doing this? Do you know if it is right? Does it sound intuitive? I have a masters in biostatistics but my background is Biology so while it does sound right to me, I am absolutely lost in the math, and can’t really know if this violates some vital part of the time dependant ROC.

Thank you very much in advance!

submitted by /u/DemiGodSuperNaked
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ELI5 Request: Random effects method when undertaking a meta analysis

Disclosure – not a statistician, a high school teacher attempting to teach myself how to undertake a meta analysis.

I am using OpenMEE to assemble my data and complete the meta analysis (all fine so far). When I actually run the meta analysis, I can chose the “random effects model” from a list:

(1) Hedges-Olkin (2) Sidik-Jonkman (3) DerSimonian-Laird (4) Maximum Likelihood (5) Restricted Maximum Likelihood (6) Empirical Bayes

As far as I understand it, these different methods account for the weighting of each individual effect size in my study, based on variance (and other factors) – and in some way account for the “random” nature of the overall study.

Can someone ELI5 the specific difference between each method — I have Googled it and I cant find anything out there that hits the spot.

That – or a link to a book / reference that will help me….

Cheers all.

submitted by /u/lazyboyg
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Been thinking of Psychometrics lately

Hey my dudes! I’m currently studying M.Sc. Statistics from a ‘good’ institution and you know thinking about the future and what to do. So, I’ve been getting more and more interested in psychometrics as a field and thinking of pursuing a phd in it. The thing is my undergrad was B.Sc. Statistics and I’ve never read Psychology before. But, I’m kind of confused, like this is quant psychology so, can’t I update myself when I enrol? Also, I’m not from America so, any good recs outside of USA for the programs would be helpful too. I’m still at an early stage but the idea of studying this subject interests me. I don’t think I wanna study further in statistics (phd) rather a different yet related field of it. Also, any career path recs are appreciated!

submitted by /u/bat__blah
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I found a (new?) solution to d=2x^3+y^3+z^3

I have been playing around with diophantine equations after watching Numberphiles video on the “uncracked problem of 33”

A related equation is discussed here and here

Playing with different methods for searching for solutions, I have come up with a new one for the previous unsolved d=2372 as can be verified in python:

-16870920115 ^ 3 + 3384145055 ^ 3 + 2 * 13354335746 ^ 3 2372L

(edit: had to change double asterix to hat because reddit formatting )

What should I do about this? I have tried contacting the author of the ArchiveX paper, for advice, without success.

submitted by /u/Snakehand
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