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I have had PD for about 12 years. When i discover my personal neurologist, I desired to exhibit him my personal efficiency and you can wished guarantee that I did brand new statistical studies precisely. Are there other things I can do in order to reduce steadily the ViFs?
Thanks a bunch for your response. My strategy was to first demonstrate that latitude was correlated with PD and then find other variables that could correlate with latitude (since latitude obviously doesn’t cause PD). When I entered the IV (no backwards regression), the VIFs were 18 and 15 for Latitude and max length of day…the rest were < 4 for all IVs. After reading about multicollinearity, I figured Latitude and maximum day length (r=0.96) are structural and one of them (Latitude) could be justifiably eliminated. So when I entered all my IVs except Latitude, all VIPs < 5... except “max daylength, VIP = 6).” Is this acceptable? Then I did a backwards regression and “max daylength” was significant, but r(partial)=0.32 did not seem so exciting. The p value for the magnetic field element was 0.07, r(partial)=0.24. When combined I get mult corr coefficient of 0.56. After a bit of research, I found out that vit D deficiency is associated with length of day which is associated with latitude which may affect PD. Could there be something to the magnetic field strength?
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It looks like anything with the latitude was potentially to play good part. When the anything you wanted to would are assume PD, then you may only hop out latitude during the since an excellent predictor and have fun with one to produce predictions. However, once the need an explanatory design, you will want to, will ultimately, treat latitude and include you to definitely real details one to causally explain the alterations in PD.
An educated statistical analyses merge topic city solutions to your statistics. And you may, I am most certainly not an expert during the PD. I’m not sure if there is an association ranging from magnetic fields and you may PD. I know the fresh new Earth’s magnetized occupation is fairly weak but We don’t know if it is strong enough affect PD. Very, We won’t presume having one suggestion be it an emerging head or not. I would personally strongly suggest carrying out history browse observe exactly what someone else have discovered.
I ask yourself in the event the instances of sunlight, otherwise lack thereof on winter months, was a factor. Around seems to be a connection between anxiety and you will development Parkinson’s. There’s a match up between this new enough time ebony days after that near a pole and you may seasonal despair. Perhaps a link? The latest nutritional D angle was interesting also. Really don’t see though. Once more, look and watch what the advantages have already receive.
I want to know if We made use of the greatest regression model showing that Parkinson’s Disease is actually associated with Latitude.
I found a database of countries with # of PD Deaths per 100,000 (age standardized). I https://datingranking.net/nl/chatavenue-overzicht/ noticed that countries at higher latitudes seemed to have a higher prevalence of PD. So, I decided to see if there was any association of PD deaths with Latitude. Grouped countries according to Latitude 0 (n=6), 15 (n=25), 30 (n=14), 45 (n=11), and 60 (n=5) degrees. 1. Latitude I tried to think of independent variables that can affect health status for each country: 2. Human Development Index (The index incorporates three dimensions of human development, a long and healthy life, knowledge, and decent living standards.) 3. Diet (% Fruits and Vegetables) Then I added other parameters I thought would be associated with Latitude: 4. Average yearly Temperature 5. Maximum daylight hours 6. Earth’s Magnetic Field (Z-component) I also added Longitude for “good measure”. 7. Longitude I entered the data into a statistical program using Backwards Least Squares Multiple Regression function and only “Latitude” was statistically significant. The multiple correlation coefficient was 0.53 p<0.0001, n = 58. F ratio = 21.7 p<0.0001, Accepted Normality. Did I use the right method to show that PD death rates are associated with latitude independent of HDI, Diet, Temperature, maximum daylight hours, Earth's magnetic Field and Longitude? I repeated the program using the same independent variables, but using another neurological disease as the dependent variable, i.e. Alzheimer's/Dementia deaths per 100,000. This time “HDI” was statistically significant. The multiple correlation coefficient was 0.27 p<0.04, n = 58. F ratio = 4.4 p<0.04, Accepted Normality.
