sexstratified
Sexstratified is an adjective describing data, analyses, or study designs that separate observations by biological sex, typically male and female. In many contexts, sex-stratified results compare outcomes across these groups, while some researchers distinguish sex from gender and use the appropriate terminology. The aim is to identify sex-specific patterns that might be masked in pooled analyses.
Applications are common in medicine, epidemiology, genetics, physiology, and social sciences. Examples include sex-stratified reporting of
Methodologically, researchers may perform separate analyses within each sex, or test for sex-by-treatment interactions in regression
Limitations and considerations include ensuring adequate sample sizes in each stratum, avoiding ecological or misinterpretation biases,
Related terms include sex-disaggregated data, sex differences, stratified analysis, and interaction effects. The use of sex-stratified