Hey Jim, Thank you for the helpful solutions

Hey Jim, Thank you for the helpful solutions


I’ve had PD for around 12 years. Whenever i find my personal neurologist, I wanted to exhibit your my overall performance and you will wanted make sure that I did so the fresh mathematical research precisely. Were there whatever else I could do to lower 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 appears as though something for the latitude was possibly playing a beneficial character. If whatever you desired to do is actually assume PD, then you may simply get off latitude when you look at the since an effective predictor and you may fool around with you to definitely to create forecasts. But not, while the want a keen explanatory model, you will want to, will eventually, clean out latitude you need to include one genuine details one to causally explain the alterations in PD.

An educated statistical analyses combine subject town systems for the analytics. And, I’m definitely not a specialist for the PD. I am not sure when there is a link ranging from magnetized areas and you will PD. I understand the fresh new Planet’s magnetized profession is pretty weak but I do not know when it is sufficiently strong connect with PD. Thus, I would not think to possess people idea should it be an emerging direct or otherwise not. I might strongly suggest carrying out records lookup observe what others discovered.

We question if the era out-of sunlight, or run out of thereof regarding the winter, would be a factor. Around seems to be a connection between bbpeoplemeet anxiety and developing Parkinson’s. You will find a match up between the long black days after that close a pole and you will seasonal despair. Maybe a link? New nutritional D direction is actually interesting as well. Really don’t discover regardless if. Once again, look to discover just what gurus have discovered.

I do want to know if I utilized the top regression design to demonstrate you to Parkinson’s State is actually with the 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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