Correspondence: Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females?

Abstract

Dear Editor, We read with great interest the article entitled “Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females? A cross-sectional Study” by Shilpi Vashishta et al., published in your esteemed journal (Journal of Clinical and Diagnostic Research) 2024;18(6):CC22-CC25. We would like to share a few of our thoughts regarding this study, mainly about the sampling and statistical techniques used. Although it was worthwhile research, the sampling technique was not properly chosen. It is impossible to conduct quality research without adequate sampling. There are two main varieties: probability sampling and non probability sampling. Convenient non random sampling was incorrectly referred to as simple random sampling in the article. The sampling technique should be stratified instead of relying on convenient sampling. Stratified sampling is used to separate the population into smaller groups that may differ significantly from one another. Ensuring that each subgroup is fairly represented in the sample allows for more precise conclusions

Keywords

• non probability sampling
• probability sampling
• stratified sampling