OBJECTIVE This study examined how two key process-of-care tasks of the collaborative care model (CCM) predict patient depression outcomes. METHODS Registry data were from a large implementation of the CCM in Washington State and included 5,439 patient-episodes for patients age 18 or older with a baseline Patient Health Questionnaire-9 (PHQ-9) score of ≥10 and at least one follow-up contact wi...

We propose a new type of residual and an easily computed functional form test for the Cox proportional hazards model. The proposed test is a modification of the omnibus test for testing the overall fit of a parametric regression model, developed by Stute, González Manteiga, and Presedo Quindimil (1998, Journal of the American Statistical Association93, 141-149), and is based on what we call cen...

The identification of risk factors for depression is necessary for the primary prevention of depression. The aim of this study is to determine whether self-efficacy (SE) is associated with onset of depression among workers. Medical expenditure records of 1,803 workers, who were clerks, system engineers, researchers, and service and sales workers in a software development company, were analyzed....

OBJECTIVE To assess whether there are differences in the strength of association with incident stroke for specific periods of life in the Stroke Belt (SB). METHODS The risk of stroke was studied in 24,544 black and white stroke-free participants, aged 45+, in the Reasons for Geographic and Racial Differences in Stroke study, a national population-based cohort enrolled 2003-2007. Incident stro...

SUMMARY In this article we investigate regression calibration methods to jointly model longitudinal and survival data using a semiparametric longitudinal model and a proportional hazards model. In the longitudinal model, a biomarker is assumed to follow a semiparametric mixed model where covariate effects are modeled parametrically and subject-specific time profiles are modeled nonparametrially...

Although Cox proportional hazards regression is the default analysis for time to event data, there is typically uncertainty about whether the effects of a predictor are more appropriately characterized by a multiplicative or additive model. To accommodate this uncertainty, we place a model selection prior on the coefficients in an additive-multiplicative hazards model. This prior assigns positi...

A study of the frequency, intensity, and risk of extreme climatic events or natural hazards is important for assessing the impacts of climate change. Many models have been developed to assess the risk of multiple hazards, however, most of the existing approaches can only model the relative levels of risk. This paper reports the development of a method for the quantitative assessment of the risk...

OBJECTIVES Common mental disorders are prevalent among employees and may cause work disability. We aimed to examine the association between common mental disorders and disability retirement, with an emphasis on the severity of disorders and diagnostic causes for retirement. METHODS Our data were derived from the Helsinki Health Study cohort on the staff of the City of Helsinki, Finland. The b...

In this paper, we address the problem of achieving synchronization in networks of nonlinear units coupled by dynamic diffusive terms. We present two types of couplings consisting of a static linear term, corresponding to the diffusive coupling, and a dynamic term which can be either the integral or the derivative of the sum of the mismatches between the states of neighbouring agents. The result...

BACKGROUND The aim of this study was to determine which predictors influence the risk of relapse among a cohort of amphetamine-type substance (ATS) users in Iran. METHODS A Cox proportional hazards model was conducted to determine factors associated with the relapse time in the Matrix treatment program provided by the Iranian National Center of Addiction Studies (INCAS) between March 2010 and...