Matt Neve, Nayanee Henry-Noel, Rajin Mehta, Maureen Trudeau, Ines Menjak, Ewa Szumacher
Development and Testing of an Adjuvant Radiotherapy Decision Aid for Older Women Diagnosed with Stage I Breast Cancer: A Pilot Study
Cureus
researchers widely used exploratory factor analysis efa learn latent structure underlying multivariate data rotation regularised estimation two classes methods efa often use find interpretable loading matrices paper propose new family oblique rotations based componentwise formula see text loss functions formula see text closely related formula see text regularised estimator develop model selection postselection inference procedures based proposed rotation method true loading matrix sparse proposed method tends outperform traditional rotation regularised estimation methods terms statistical accuracy computational cost since proposed loss functions nonsmooth develop iteratively reweighted gradient projection algorithm solving optimisation problem also develop theoretical results establish statistical consistency estimation model selection postselection inference evaluate proposed method compare regularised estimation traditional rotation methods via simulation studies illustrate using application big five personality assessment