School of Business and Economics Atlantic International University The Bachelor of Statistics BS program provide students with a fundamental understanding of probability and mathematical statistics, a complementary knowledge of basic methods for data collection and inference, and practical computing skills to carry out statistical analyses of problems in many different areas of application. The Bachelor of Statistics BS program is offered online via distance learning. After evaluating both academic record and life experience, AIU staff working in conjunction with Faculty and Academic Advisors will assist students in setting up a custom-made program, designed on an individual basis. This flexibility to meet student needs is seldom found in other distance learning programs.
I am a third-year medical student and in a few days, I am going to defend my bachelor thesis. For the presentation of the thesis, I am supposed to present a new, relevant statistical analysis based on my collected data.
However, I have only very little experience in statistics and epidemiology, and furthermore find it very difficult, and I would therefore be very grateful for some advice. The project is a case-control study investigating risk factors of birth asphyxia.
Significantly higher odds of birth asphyxia was found for primiparas first time mothers when compared to multiparas. First of all, any suggestions for relevant post-study analyses would be very much appreciated I have extensive data on a very large number of variablesalthough I am aware that it is probably difficult to advise on for someone not involved in the project.
I have two ideas myself for further analyses that might be relevant, but as I said, I have only very little experience and would therefore like to know whether they make sense: In the statistical analysis I found with simple logistic regression that an infant being small for gestational age exposure was associated with significantly higher odds of perinatal asphyxia outcomewhen compared to being appropriate for gestational age.
However, when I adjusted for confounding by parity number of times a woman has given birth this association became insignificant. As I have understood, this indicates that parity is a confounding variable, is this correct?
Now I have performed a stratified analysis by parity.
Interestingly I found that for first time mothers there is a significant association between the infant being small for gestational age and birth asphyxia, while for women who have previously given birth, there is no significant association.
How does this make sense? Does it indicate effect modification by parity? And is it possible for a variable to be both a confounder and an effect modifier? In addition, does this help to explain the original finding that being a first time mother increases the odds of birth asphyxia?
First time mothers are known to have longer labors than women who have previously given birth. In the thesis I have not investigated the association between length of labour and birth asphyxia. Here afterwards, I have found that there is no significant association either before or after adjusting for parity.
Is it wrong to interpret that the fact that I found first time mothers to have increased odds of birth asphyxia has nothing to do with them having longer labors? I am very sorry if my explanations are hard to follow, I have tried my very best to explain.
I would be very grateful for any help!kaja-net.com is a summary of my thesis in the form av a presentation. Report vs Slides If you are short on time or experienced with time series analysis (especially ARMA and GARCH) then reading the slides will suffice.
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