Year:
Applicant:
Trainee:
Email:
praina@mcmaster.ca
Keywords:
fracture risk assessment
logistic regression
osteoporosis
postmenopausal women
prediction model
Project ID:
2407012
Approved Project Status:
Project Summary
Osteoporosis affects over 200 million people globally leading to increased fracture risk particularly in postmenopausal women. The condition often goes undiagnosed until a fracture occurs severely impacting life quality through loss of independence, persistent pain and reduced mobility. The objective of this study is to develop and validate prediction models to assess the risk of fractures in postmenopausal women. The model will estimate the risk of fractures over three years and is intended for use as screening tools in primary care to identify high-risk individuals who would benefit from further examinations and preventive treatments. The model’s performance will be validated using AUC values and calibration curve. The goal is to enhance fracture prevention strategies for postmenopausal women and ultimately improve their quality of life.