Correspondence: Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females?
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-...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JCDR Research and Publications Private Limited
2025-01-01
|
| Series: | Journal of Clinical and Diagnostic Research |
| Subjects: | |
| Online Access: | https://jcdr.net/articles/PDF/20496/73465_CE[Ra1]__F(SHU)_QC(PS_IS)_PF1(JY_SS)_redo_PFA(NC)_PN(IS).pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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 |
|---|---|
| ISSN: | 2249-782X 0973-709X |