Multivariate single index modeling of longitudinal data with multiple responses

• Published in: Statistics in medicine Vol. 42; no. 17; pp. 2982 - 2998
• Main Authors: Tian, Zibo, Qiu, Peihua
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 30.07.2023; Wiley Subscription Services, Inc
• Subjects: asymptotic normality; Clinical outcomes; Correlational studies; EM algorithm; Health risks; Humans; local linear kernel smoothing; Longitudinal Studies; mixed‐effects modeling; multiple responses; Risk factors; single index model; Statistics as Topic; asymptotic normality; local linear kernel smoothing; single index model; mixed-effects modeling; EM algorithm; multiple responses

In medical studies, composite indices and/or scores are routinely used for predicting medical conditions of patients. These indices are usually developed from observed data of certain disease risk factors, and it has been demonstrated in the literature that single index models can provide a powerful...