Gender medicine, focusing on biological sex and societal roles, requires examining patterns and disparities in health outcomes between genders. It’s essential to differentiate between sex and gender medicine to evaluate biological versus behaviour-related factors. However, gender biases persist in global health surveys due to gaps in gender-related data and incomplete representation of population groups. Addressing these biases and using appropriate statistical methodologies are crucial for accurate data interpretation.
Diagnosis, Treatment, and Prevention of Disease: Gender or Sex Sensitive? Statistical Considerations / Di Serio, C., Ferrari, P.. - (2025), pp. 644-650. [10.1007/978-3-031-64350-7_108]
Diagnosis, Treatment, and Prevention of Disease: Gender or Sex Sensitive? Statistical Considerations
Di Serio, Clelia
Primo
;
2025-01-01
Abstract
Gender medicine, focusing on biological sex and societal roles, requires examining patterns and disparities in health outcomes between genders. It’s essential to differentiate between sex and gender medicine to evaluate biological versus behaviour-related factors. However, gender biases persist in global health surveys due to gaps in gender-related data and incomplete representation of population groups. Addressing these biases and using appropriate statistical methodologies are crucial for accurate data interpretation.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
