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For this study I decided to use the CDC's parameters as to what is considered excessive drinking, which has been defined as more than 3 drinks per week for a women. This outlines a specific standard that is considered abnormal intake. As far as the sample study, I did not specify a region or any personal factors as to gain as many research participants as possible.

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A way to measure my exposure would be to have all individuals in the sample study take a survey that records their average daily alcohol drink intake. To measure the outcome would be more difficult, but there would be testing every 6 months. This would include liver tests like ALT, AST, and other biomarkers.

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For my cohort study design, the research question, study population, exposure, and outcomes are presented in the figure above. Participant selection would be at random within the population of women receiving gynecological care with the Kaiser Permanente Northern California healthcare system. The control group is the group of surveyed women who reported consuming less than seven drinks per week. Follow-up would occur every year for the next ten years (during routine pap-smear), and the cumulative incidence of breast cancer among experimental and control groups should be compared.

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For my experiment design, the research question, exposure, and outcome are presented in the figure above. Participant selection would be at random via phone survey. The control group is the group of surveyed women who reported consuming less than seven drinks per week. Follow-up would occur every year for the next ten years, and the cumulative incidence of breast cancer among experimental and control groups should be compared.

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My design involves randomized women in two groups. One would serve as our control group. I put the timeframe of the study over ten years. It's difficult to put on a timeline on cancer development, but we can test for certain factors or indicators during the study.

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My design involves an RCT that focuses on monitoring, with mild intervention and rules to hopefully keep participants compliant over time. The long time period is in hopes to get a greater amount of data, as cancer takes a long time to develop and is not easy to predict.