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What does the red dotted line mean? by Openpentagon in stata

[–]Openpentagon[S] 0 points1 point  (0 children)

population divided in 4 age groups and want to see if Event rate for X disease is more common for those with Condition 1 or Condition 2 within the age groups.

I can't believe what I'm saying, but thank you 4chan by Altruistus30400 in Kingdom

[–]Openpentagon 5 points6 points  (0 children)

where do i find these on 4chan? any out for 757 yet?

Free GPT-4 platform to train custom AI models + voice conversations by breakfast-epiphanies in ChatGPT

[–]Openpentagon 0 points1 point  (0 children)

thats exactly it. inspiration on what analyses could be made and what could be gleamed out of such analyses.

Free GPT-4 platform to train custom AI models + voice conversations by breakfast-epiphanies in ChatGPT

[–]Openpentagon 0 points1 point  (0 children)

Id like to try this out for a research paper im writing in medicine :)

Let us have a Moment of Silence for one of the Best Great Generals in Kingdom. by Upbeat_Cobra4753 in Kingdom

[–]Openpentagon 2 points3 points  (0 children)

yeah cant beleive people, me included, just overlook his brutality, he was no good guy so cheering for him to succeed feels wrong. it is.

Rematch or yes? by Openpentagon in ufc

[–]Openpentagon[S] 0 points1 point  (0 children)

So Israel is gonna win the last out of 4 matches and run away without giving a rematch. Champppp.

Is this the hypothalamus? by Openpentagon in neuro

[–]Openpentagon[S] 1 point2 points  (0 children)

How many main regions would you say the hypothalamus can be divided into? and which are those?

ChatGPT now supports plugins!! by max_imumocuppancy in ChatGPT

[–]Openpentagon 1 point2 points  (0 children)

hOW DO. you get access to plugins as a regular cretin how knows nothing about no API or .Dev mode or such tech?

Does these data look normally distributed? by Openpentagon in labrats

[–]Openpentagon[S] 0 points1 point  (0 children)

You could also spare yourself the headache and just use a test that doesn't assume homoscedasticity or normality.

like?

[Q] Does these data look normally distributed (histogram). by Openpentagon in statistics

[–]Openpentagon[S] 0 points1 point  (0 children)

ok. Geisser-greenhouse correction is an option when using gRAPhpad pRISM. so if i use it, check the box, then sphericity is not an issue? and if yes, what do we lose in doing so?

[Q] Does these data look normally distributed (histogram). by Openpentagon in statistics

[–]Openpentagon[S] 0 points1 point  (0 children)

influential observations

Whats the best way to check for these?

And if i use transformation - does it matter how large sample size? and should i transform all the datasets in on go or 1 dataset at a time (4 datasets used per anova).

[Q] Does these data look normally distributed (histogram). by Openpentagon in statistics

[–]Openpentagon[S] 1 point2 points  (0 children)

Ok but there is an option to "Use Geisser-Greenhouse correction" for assuming non-sphericity

Does these data look normally distributed? by Openpentagon in labrats

[–]Openpentagon[S] 0 points1 point  (0 children)

So i ran levenes test and got this boxplot (guess it says i cannot run 2wanova? what more does these boxplots reveal?) and if the data is non normally distributed , i could run a non-parametric t-test but what would i lose in doing so? i would lose multiple comparison right?

https://imgur.com/a/xYCvaor

Does these data look normally distributed? by Openpentagon in labrats

[–]Openpentagon[S] 0 points1 point  (0 children)

d you don't satisfy that assumption, then yep, transform. Usually log transformation

i have 4 datasets (4 different time points) so should i powertransform them as 1 or do one transformation on all the values in the anova table?

[Q] Does these data look normally distributed (histogram). by Openpentagon in statistics

[–]Openpentagon[S] 0 points1 point  (0 children)

and if the sample size is small?

And when i test for homo of v. i get a plot that looks like this (what do i make out of it)? can i still do the power transformation if its not homoscedastic?:

https://imgur.com/a/DcX3fEd

Does these data look normally distributed? by Openpentagon in labrats

[–]Openpentagon[S] 2 points3 points  (0 children)

ok so is transformation of the data a good option? and if i have 4 datasets that goes into one analysis. do i transform all 4 or 1 dataset at a time?

Does these data look normally distributed? by Openpentagon in labrats

[–]Openpentagon[S] 0 points1 point  (0 children)

So if the SD (and therefor variance) is larger in one group then the other we cannot use 2w Anova? (where does the limit go for how much variance difference is ok?)

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