Hierarchical Bayesian time series models can be applied to complex data in many domains, including data arising from behavior and motion [32, 33], home energy consumption [60], physiological signals [69], single-molecule biophysics [71], brain-machine interfaces [54], and natural language and text [44, 70]. However, for many of these applications there are very large and growing datasets, and s...

BACKGROUND Though cardiovascular (CV) risks are reported in first-degree relatives (FDR) of type 2 diabetics, the pathophysiological mechanisms contributing to these risks are not known. We investigated the association of sympathovagal imbalance (SVI) with CV risks in these subjects. SUBJECTS AND METHODS Body mass index (BMI), basal heart rate (BHR), blood pressure (BP), rate-pressure product...

OBJECTIVE To study recent trends in the cumulative incidence of visual impairment in childhood over a 15-year period and to assess progress against WHO goals for prevention. DESIGN, SETTING AND PARTICIPANTS Data from a population-based register of visual impairment in southern England were used to estimate cumulative incidence and trends in visual impairment (VI) and severe visual impairment/...

BACKGROUND Current National Comprehensive Cancer Network guidelines recommend postoperative radiation therapy based only on adverse pathologic findings (APFs), irrespective of preoperative risk group. We assessed whether a model incorporating both the preoperative risk group and APFs could predict long-term oncologic outcomes better than a model based on APFs alone. METHODS We retrospectively...

BACKGROUND Although cardiac output index (CI), stroke volume index (SVI), and total systemic vascular resistance (TSVR) are important hemodynamic parameters for the prognosis of chronic heart failure (CHF), they are difficult to measure in an outpatient setting. Whole body bioimpedance monitoring using a Non-Invasive Cardiac System (NICaS) allows for easy, non-invasive estimation of these param...

OBJECTIVES To evaluate the diagnostic performance of preoperative multiparametric magnetic resonance imaging (mp-MRI) as a predictor of extracapsular extension (ECE) and unfavorable Gleason score (GS) in patients with intermediate and high-risk prostate cancer (PCa). MATERIALS AND METHODS Patients with clinically localized PCa who underwent radical prostatectomy (RP) and had preoperative mp-M...

Latent variable models are important tools to infer the underlying structure of a set of data. When we condition on observed data in Bayesian inference, we implicitly assume that the modeling assumptions are true and that the data can be considered a representative draw from the model. However, realistic data rarely agrees with these modeling assumptions. Especially when the observed data is hi...

PURPOSE To assess the accuracy of endorectal 3 T magnetic resonance imaging (MRI) in detecting extracapsular extension (ECE) and seminal vesicle invasion (SVI) of prostate cancer (PCa). MATERIALS AND METHODS 38 consecutive patients with biopsy-proven PCa underwent multiparametric endorectal MRI at 3 T prior to prostatectomy. Two readers (A with nine years of experience and B with four) used e...

Methods We included 139 patients undergoing CMR and right heart catheterization within 2 days (n=151 test pairs) for the evaluation of known or suspected pulmonary hypertension. Right ventricular end-systolic volume index (ESVI) and stroke volume index (SVI) were obtained, respectively, from cardiac cine images and phasecontrast of the pulmonary artery after adjusting for body surface area. Rig...

The effect of polyelectrolytes; cationic and anionic charges and coagulants have been investigated for fresh activated sludge at different concentrations and pH values in a comparative fashion. The results from the experiments indicate that the cationic polyelectrolytes have a significant effluence on the sludge characteristic, degree of flocculation and water quality such as turbidity and SVI....