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-...
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| Format: | Article |
| Language: | English |
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JCDR Research and Publications Private Limited
2025-01-01
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| 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 |
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| _version_ | 1832595601581146112 |
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| author | Avnesh Kumar Singh Shikha Singh |
| author_facet | Avnesh Kumar Singh Shikha Singh |
| author_sort | Avnesh Kumar Singh |
| collection | DOAJ |
| description | 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 |
| format | Article |
| id | doaj-art-3332bedcf5d34fd6a46965c159e37919 |
| institution | Kabale University |
| issn | 2249-782X 0973-709X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | JCDR Research and Publications Private Limited |
| record_format | Article |
| series | Journal of Clinical and Diagnostic Research |
| spelling | doaj-art-3332bedcf5d34fd6a46965c159e379192025-01-18T12:28:29ZengJCDR Research and Publications Private LimitedJournal of Clinical and Diagnostic Research2249-782X0973-709X2025-01-011901010110.7860/JCDR/2025/73465.20496Correspondence: Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females?Avnesh Kumar Singh0Shikha Singh1Associate Professor, Department of Pharmacy, MM College of Pharmacy, Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, India.Associate Professor, Department of Physiotherapy, Maharishi Marandeshwar (Deemed to be University), Mulllana, Ambala, Haryana, India.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 conclusionshttps://jcdr.net/articles/PDF/20496/73465_CE[Ra1]__F(SHU)_QC(PS_IS)_PF1(JY_SS)_redo_PFA(NC)_PN(IS).pdfnon probability samplingprobability samplingstratified sampling |
| spellingShingle | Avnesh Kumar Singh Shikha Singh Correspondence: Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females? Journal of Clinical and Diagnostic Research non probability sampling probability sampling stratified sampling |
| title | Correspondence: Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females? |
| title_full | Correspondence: Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females? |
| title_fullStr | Correspondence: Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females? |
| title_full_unstemmed | Correspondence: Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females? |
| title_short | Correspondence: Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females? |
| title_sort | correspondence can menstrual cycle length predict cardiovascular risk in healthy indian females |
| topic | non probability sampling probability sampling stratified sampling |
| url | https://jcdr.net/articles/PDF/20496/73465_CE[Ra1]__F(SHU)_QC(PS_IS)_PF1(JY_SS)_redo_PFA(NC)_PN(IS).pdf |
| work_keys_str_mv | AT avneshkumarsingh correspondencecanmenstrualcyclelengthpredictcardiovascularriskinhealthyindianfemales AT shikhasingh correspondencecanmenstrualcyclelengthpredictcardiovascularriskinhealthyindianfemales |