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September 5, 2025International Journal of Statistics in Medical ResearchOpen Access

Predicting Sex from Hand Dimensions using Statistical Models: A Cross-Sectional Study of Medical Students

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Authors

KSKamlesh Kumar ShuklaSGShailesh GuptaMIM. Mazharul Islam

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Overview

Cross-sectional study assesses hand dimensions for sex determination in medical students, highlighting the utility of logistic regression for forensic identification.

Key Points

  • Logistic regression achieved 90% accuracy for sex prediction using hand dimensions.
  • Significant differences in hand dimensions were found, with males having larger measurements (p < 0.001).
  • The Right Hand Index and height were identified as key predictors of sex in the final model.
  • This method of using hand anthropometry offers a reliable approach for forensic investigations.

Cite This Study

Shukla et al. (2025) studied this question.

synapsesocial.com/papers/68bb49d26d6d5674bcd00118https://doi.org/10.6000/1929-6029.2025.14.48
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