The reader would also benefit by a split-out of the mothers less than 18 and the asthma rates of their babies, in order to establish if low birth weights were more common in such populations, and other confounding variables were different.
How was the sample selection done and what was the final sample size on which the data was analyzed? was there a control group?
The final sample size appeared to be 2,032 or 1,845, depending on the variables analyzed. That is because the patients in the 1,845 group had complete medical data available on all study variables, while the 2,032 included all those with some medical data. This means that there were 187 subjects for whom not all data was available. A subtraction of multiple-birth events brings us to 1,803 in the sample.
There was no control group per se. The objective of the study was to have enough patients to be able to run multiple correlate exercises and eliminate variables which are confounding. In this type of study, therefore, a classic 'control group' is not required.
What is a confounding variable, What confounding variable and biases were taken in consideration by the researcher in this study?
Confounding variables are those which may be correlated with the sample population, but bring little or no new information. An example might be socioeconomic level (i.e. how...
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