Hey Jim, Many thanks for the helpful solutions


I’ve had PD for around twelve years now. Whenever i pick my neurologist, I needed to display your my results and need make certain I did new analytical studies accurately. Were there whatever else I will do to decrease 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?


It looks like things associated with latitude are probably to experience good part. In the event that anything you planned to carry out was anticipate PD, then you might merely exit latitude inside once the a beneficial predictor and you may play with you to to produce forecasts. However, since require an explanatory model, you really need to, will eventually, beat latitude and include one real details one causally give an explanation for changes in PD.

A knowledgeable analytical analyses mix topic town solutions to the statistics. And you can, I am not a professional during the PD. I’m not sure if there’s a link ranging from magnetized sphere and you can PD. I am aware the new Earth’s magnetized field is fairly weakened but We do not know if it’s sufficiently strong affect PD. Thus, We won’t presume getting one tip whether it is a surfacing head or not. I would personally strongly suggest carrying out background lookup observe exactly what anyone else have discovered.

We inquire in the event that times out of daylight, or run out of thereof from the winter, was something. Around is apparently a adam4adam-coupons link between despair and you can developing Parkinson’s. There was a link between the fresh enough time ebony months after that close a pole and you may regular despair. Perhaps an association? The newest vitamin D position try interesting also. I don’t discover even when. Once more, lookup to discover precisely what the masters have previously found.

I wish to determine if I utilized the ideal regression model to demonstrate one to Parkinson’s Problem is actually of Latitude.

I found a database of countries with # of PD Deaths per 100,000 (age standardized). I 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.

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