<prompt> Please answer with one of the option in the bracket. Write reasoning in between . Write answer in between .Q:A 52-year-old man presents to the office for a regular health checkup. He was diagnosed with type 2 diabetes mellitus 6 years ago and has been taking metformin alone. Over the past year, his daily blood glucose measurements have gradually been increasing. During his previous visit, his HbA1c level was 7.9 and the doctor mentioned the possibility of requiring an additional medication to keep his blood sugar under better control. Today, his HbA1c is 9. The doctor mentions a research article that has been conducted on a randomized and controlled group of 200 subjects studying a new anti-diabetic medication. It has been shown to significantly reduce glucose levels and HbA1c levels compared to the current gold standard treatment. Possible adverse effects, however, are still being studied, though the authors believe that they will be minimal. In this study, what would most likely increase the chances of detecting a significant adverse effect?? A: Decreasing post-market surveillance time, B: Increasing sample size, C: Non-randomization, D: Decreasing sample size, E: Increasing selection bias,  <response>: This is a multiple choice question asking about how to increase the chances of detecting a significant adverse effect in a clinical trial studying a new medication. The key points in the question stem are:- The study is on a new anti-diabetic medication that has shown efficacy in reducing glucose and HbA1c levels- The study was randomized and controlled with 200 subjects - Possible adverse effects are still being studiedTo increase the chances of detecting adverse effects, we need to increase the sample size. A larger sample size gives more statistical power to detect adverse effects that may occur at a low frequency. Randomization and control groups help reduce bias. Non-randomization and selection bias would reduce the validity of detecting real adverse effects. Decreasing post-market surveillance time or sample size would reduce the chances of detecting adverse effects.B: Increasing sample size 