Statistical Analysis Presentation

Speakers

• Speaker 1 0:00
• Speaker 2 2:32
• Speaker 3 31:07

1. 0:00

   Бөлім 1: Hello, Dr. 151s · Speaker 1

   Hello, Dr. Thayer. I'm here to do a presentation on the numerical analysis module. The title of my presentation is about diabetes risk factors. I will look at the insights from the Pima Indian Diabetes Database. Before I do that, let me giv…

2. 2:32

   Бөлім 2: of diabetes across the world. 310s · Speaker 2

   of diabetes across the world. Looking at this map here on the side, it's a map that estimates an increase on diabetes from 2019 to 2045. And then if you look at the world picture, it shows that between 2019 and 2025, there will be an increa…

3. 7:43

   Бөлім 3: These can be described as one of those values that are supposed to be carrying missing data in the dataset instead of being real pregnancies. 177s · Speaker 1

   These can be described as one of those values that are supposed to be carrying missing data in the dataset instead of being real pregnancies. Glucose, values of zero and glucose, this is also not physiologically correct, and one cannot have…

4. 10:42

   Бөлім 4: which is lower than the 40-49 age group. 98s · Speaker 2

   which is lower than the 40-49 age group. And in summary, one can say that the data highlights that diabetes risk increases significantly with age, particularly from the age status onwards, even though that the number of participants decline…

5. 12:21

   Бөлім 5: Diabetics, if it needs to be controlled, obesity and overweight must be taken into consideration. 81s · Speaker 1

   Diabetics, if it needs to be controlled, obesity and overweight must be taken into consideration. Exploration of data statistics. Question 10 was also looking at diabetes rate across pregnancies. These are the categories for pregnancy count…

6. 13:43

   Бөлім 6: Looking at the second question in terms of inferential statistics, the first one wanted us to test if there is a difference between glucose levels for those with and without diabetes. 315s · Speaker 2

   Looking at the second question in terms of inferential statistics, the first one wanted us to test if there is a difference between glucose levels for those with and without diabetes. The null hypothesis says the mean glucose of those with …

7. 19:00

   Бөлім 7: 915, the degrees of freedom is 3, the p-value is far less than 0. 310s · Speaker 1

   915, the degrees of freedom is 3, the p-value is far less than 0.5. Concluding on the results on this one for age group and outcome, the p-value is far below 0.5, meaning that the association between age group and diabetes outcome is statis…

8. 24:10

   Бөлім 8: This accounts for the very large number of predictors, those dummy variables for PMI. 311s · Speaker 2

   This accounts for the very large number of predictors, those dummy variables for PMI. And then statistically, it explains that the model only explains about 44% of variance in the dataset. Question seven, in the inferential statistics, we w…

9. 29:23

   Бөлім 9: with that odd ratio and that significance level this means that the odd ratio is extremely close to one and the the oval and it also the significance overlaps with one meaning that the interaction effect is negligent and is not significant comparing the two modules the last question was to compare the two logistic regression models we look at model one with the effect and model one without today model one without the interaction and model two with the interaction we calculated the deviation table first and then we do it the summarization of the interaction model coefficients for all the variables. 104s · Speaker 1

   with that odd ratio and that significance level this means that the odd ratio is extremely close to one and the the oval and it also the significance overlaps with one meaning that the interaction effect is negligent and is not significant …

10. 31:07

    Бөлім 10: this they come that at light level bmi with the at that co deviance coefficients with that interaction with that p value And the odd ratio, this suggests that higher BMI increases diabetes odds by about 8% per unit, but the midpoint is a midpoint significance. 117s · Speaker 3

    this they come that at light level bmi with the at that co deviance coefficients with that interaction with that p value And the odd ratio, this suggests that higher BMI increases diabetes odds by about 8% per unit, but the midpoint is a mi…

11. 33:05

    Бөлім 11: strong variable with precise effect. 75s · Speaker 1

    strong variable with precise effect. That means glucose is the strong variable to predict. diabetes in the sample data set. Pregnancies with that odd ratio and that significance level, it means that it is a significant but meaningful variab…

12. 34:21

    Бөлім 12: Key findings that are found for diabetes risk from the analysis is prevalence. 128s · Speaker 3

    Key findings that are found for diabetes risk from the analysis is prevalence. Total, summing up the results, the total of about 34.9 of participants are diagnosed with diabetes from the sample data set. Age, actually the increase in age ri…

13. 36:31

    Бөлім 13: impact beyond these risk factors that are identified here. 177s · Speaker 2

    impact beyond these risk factors that are identified here. In recommendations, there are following recommendations that I'm putting forward based on the study that I did analyzing the PIMA dataset. One is to prioritize glucose monitoring. S…