Recent content by dgsfbandeira

1) I Understand that between 1-100, there is an infinite number of possible combinations that would result in the same mean. Of course that the found value would be useless. In my analysis, though, there are some finite (and low) number of values in the scatterplot. The ones missing are...

I looked just now that you suggested it. Seems like it would be a very nice fit for what I want. Unfortunately, I know nothing about programming or how to apply this for my situation.

The data in the .CSV is the digitized data from the plot. First column is the X value and second is the Y value. In the file, there are only 54 lines of values because I only found 54 points on the graph, although there are 55 (n=55 in the table figure I sent). Yeah, i’m afraid the mean+sd...

Thanks for the feedback. 1) In order to validate the digitizing, I need to find all the values in the scatterplot. If I find all the dots and my mean+sd is equal to the ones published in the paper, that means the method is correct. That’s the importance of mean+sd 2) These 2 variables don’t...

You are entitled to your opinion. You can report if you want, but you don't need to start an unrelated argument in my thread. FYI, one example Meta-analysis using this methodology in a very respected journal. Its not expropriating if the data is published. Cheers and thank you for your help.

Some people are against, calling it data stealing But in fact, its a validated methodology and there are several articles published using bitmap-to-digital tools to extract scatterplot and bland-altman data.

That didnt work. See: Sum_of_known_X (54 values digitized) = 421,69281 Number_of_data_X = 55 and Mean = 7,65 7,65 x 55 = 420,75. How is that even possible? Mean reported wrongly in the paper?

Nice. Now I see how dumb my question is and how simple the rationale to do this is. Much obliged for the answer Still, is there a way to put in a formula when more values are missing? A way to see the possible combinations between the values that are already known that would give me the...

Actually, in some graphs there are three or more missing values. Still, even if there is a lot of combinations possible to achieve the same mean and SD, this would still help me

So here is one of the scatterplots. There are 54 values found out of 55 reported in the paper For X, the mean = 7,65 and SD = 3.0 For Y, the mean = 0,85 and SD = 0,12 The missing value is supposedly an overlapping value that I can't see to digitize.

I'm actually very new to math in general. I'm an interventional cardiologist starting to do some research in my area, and I'm having a lot of trouble with statistics. Right now, I'm doing a meta-analysis and extracting data from a lot of scatterplots. Sadly, some of them just have missing data...

I have a scatterplot that I'm trying to extract. I found 54 values out of 55. There is one "missing" value, probably because it is overlapped and I can't actually see. I have the MEAN and Stand Dev of the 55 values. Is there a way to reverse find the one that is missing? I mean, is there a...