Designing a Cross-sectional Study analysis
STUDENT NAME
AFFILIATION
NAME
Sample analysis of a cross sectional study
RESPIRATORY NON RESPIRATORY TOTAL
SMOKERS 700 400 1100
NON SMOKERS (1000-700)=300 2600 2900
TOTAL 1000 3000 4000
Note
Probability=P Smokers=x Non smokers=y Non respiratory=p Respiratory =r
P x= (1100/4000) =0.28
P y= (2900/4000) =0.73
There is a higher probability of being a non smoker than being a smoker under normal circumstances.
Pp= (1000/4000) =0.25
P r= (3000/4000) =0.75
There is a higher probability of getting a respiratory under both non smoking and smoking environment. It depends on the environment but there is a higher chance o getting a respiratory disease in a smoking environment
Probability of smoking and non respiratory disease
P (x and p) = (0.28*0.25)/0.53=0.14
Probability of smoking and getting a respiratory disease
P (x and r) = (0.28*0.75)/1.03=0.21
There is a higher chance of getting a respiratory disease when smoking than when individuals do not smoke.
Probability of not smoking and non respiratory disease
P (y and p) = (0.73*0.25)/0.98=0.27
Probability of non smoking and respiratory disease
P (y and r) = (0.73*0.75)/1.48=0.38
There is a higher probability of getting a respiratory disease in the environment. The reason is that most non smokers are passive smokers and are likely to inhale more during their daily activities. In the above ratio there is a higher probability of having no respiratory disease when you are a non smoker. The analysis shows that smokers have a higher probability of getting respiratory diseases with a ratio of 0.21 to 0.38.
REFERENCE
Cross sectional study.