Statistical Business Analysis

Statistical Business Analysis

Reduction in the The Incidence of Type 2 DM with Lifestyle Intervention or Metformin Study synopsis This is a randomized controlled trial to assess the effects of lifestyle modification and metformin in the prevention of diabetes in high risk individuals. The hypothesis was that lifestyle intervention or metformin would prevent or delay the development of diabetes. 3,234 persons with elevated fasting and post-load glucose concentrations were assigned to receive placebo, receive metformin, or participate in an intensive lifestyle modification program. The average follow up was 2.8 years. The study found that both metformin and lifestyle intervention did reduce the incidence of diabetes. Lifestyle intervention was significantly more effective than metformin. Challenges of assessing risks and reduction measures used According to Friis & Sellers (2014) there are 3 issues with controlled trials when assessing risks. The first is the diversity of the human subjects. This study boast that 68 percent are women and 45 percent were members of a minority group. The second issue is sample size. “Studies that have larger sample in comparison to smaller samples have greater statistical power and reduced measurement error; of course, larger samples are more costly to collect than smaller,” (Friis & Sellers, 2014, p. 403). This study has over 3,000 patients enrolled, though it is reported that there was a 10 percent rate of loss to followup per year. Which is the third issue. Noncompliance is a factor in experimental studies that can potentially nullify the effects of the intervention. The team did assess for adherence to medication compliance with pill counts and structured interviews. They also tried to mitigate adverse side effects of metformin by titrating the dose at a slower rate or decreasing the dose. Recommendations made by investigators “An estimated 10 million persons in the United States resemble the participants in the Diabetes Prevention Program in terms of age, body-mass index, and glucose concentrations, according to data from the third National Health and Nutrition Examination Survey.

Statistical Business Analysis

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