Lagged Duration Dependence in Mixed Proportional Hazard Models We study the non-parametric identification of a mixed proportional hazard model with lagged duration dependence when data provide multiple outcomes per individual or stratum. We show that the information conveyed by the within strata variation can be exploited to nonparametrically identify lagged duration dependence in more general ...

Time series regression studies have been widely used in environmental epidemiology, notably in investigating the short-term associations between exposures such as air pollution, weather variables or pollen, and health outcomes such as mortality, myocardial infarction or disease-specific hospital admissions. Typically, for both exposure and outcome, data are available at regular time intervals (...

BACKGROUND Cross-sectional studies show that human immunodeficiency virus (HIV) stigma is negatively correlated with social support. PURPOSE The purpose of this study is to examine the bidirectional relationship between social support and HIV stigma. METHODS We collected quarterly data from a cohort of 422 people living with HIV in Uganda, followed for a median of 2.1 years. We used multile...

Abstract Background The study aims to use the cross-lagged model and utilize data from Born in Shenyang Cohort Study characterize bidirectional associations of term-born infants’ neurodevelopment five domains physical growth early life. Method This consists 688 mother-child dyads Study. Infants’ anthropometric (weight length) development neurological outcomes (Gesell Development Scale) were mea...

This study investigated the relationships between Legionnaires' disease (LD) incidence and weather in Glasgow, UK, by using advanced statistical methods. Using daily meteorological data and 78 LD cases with known exact date of onset, we fitted a series of Poisson log-linear regression models with explanatory variables for air temperature, relative humidity, wind speed and year, and sine-cosine ...

A lagged dependent variable in an OLS regression is often used as a means of capturing dynamic effects in political processes and as a method for ridding the model of autocorrelation. But recent work contends that the lagged dependent variable specification is too problematic for use in most situations. More specifically, if residual autocorrelation is present, the lagged dependent variable cau...