Correspondence: Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females?
Correspondence Address :
Shikha Singh,
B-61, B-Block, Near Shiv Mandir, MMDU Campus, Mulllana, Ambala-133203, Haryana, India.
E-mail: shikhasinghmpt@gmail.com
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 moreprecise conclusions (1).
Non probability sampling, Probability sampling, Stratified sampling
DOI: 10.7860/JCDR/2025/73465.20496
Date of Submission: Jun 12, 2024
Date of Peer Review: Aug 03, 2024
Date of Acceptance: Oct 10, 2024
Date of Publishing: Jan 01, 2025
AUTHOR DECLARATION:
• Financial or Other Competing Interests: None
• Was informed consent obtained from the subjects involved in the study? No
• For any images presented appropriate consent has been obtained from the subjects. NA
PLAGIARISM CHECKING METHODS:
• Plagiarism X-checker: Jun 17, 2024
• Manual Googling: Oct 05, 2024
• iThenticate Software: Oct 08, 2024 (20%)
ETYMOLOGY: Author Origin
EMENDATIONS: 5
- Emerging Sources Citation Index (Web of Science, thomsonreuters)
- Index Copernicus ICV 2017: 134.54
- Academic Search Complete Database
- Directory of Open Access Journals (DOAJ)
- Embase
- EBSCOhost
- Google Scholar
- HINARI Access to Research in Health Programme
- Indian Science Abstracts (ISA)
- Journal seek Database
- Popline (reproductive health literature)
- www.omnimedicalsearch.com