نتایج جستجو برای: predictors
تعداد نتایج: 102022 فیلتر نتایج به سال:
Introduction: Death anxiety can negatively affect recovery among older patients. Objective: study aimed to assess death anxiety and its predictors among older adults during and after hospitalization. Materials and Methods: This cross-sectional study was conducted in 2017 on 241 hospitalized patients aged ≥60 years. The study subjects were consecutively recruited from a hospi...
How deeply a word is processed has long been considered as a crucial factor in the realm of vocabulary acquisition. In literature, two frameworks have been proposed to operationalize the depth of processing, namely the Involvement Load Hypothesis (ILH) and the Technique Feature Analysis (TFA). However, they differ in the way they have operationalized it specially in terms of their attentional c...
Introduction and objective: Social isolation can lead to depression, decline in life expectancy, and increased death anxiety among older adults. Therefore, the present study was conducted to determine the predictors of social isolation in community-dwelling older adults residing in Qazvin, Iran. Materials and Methods: This descriptive and cross sectional study was conducted on 301 older adults...
Introduction: hypertension is one of the most important health problems in the world and in developing countries, including Iran. The prevalence of hypertension among Iranian women is higher than men. This study aimed to investigate the predictive causes of hypertension among Iranian women. This study was a narrative review that was conducted by searching related studies and resources in datab...
Classical finite mixture regression is useful for modeling the relationship between scalar predictors and scalar responses arising from subpopulations defined by the di ering associations between those predictors and responses. The classical finite mixture regression model is extended to incorporate functional predictors by taking a wavelet-based approach in which both the functional predictors...
Image and audio data are examples of domains in which DPCM (Diierential Pulse Coded Modulation) is an eeective method for removing much of the linear correlation between data samples. However, most simple DPCM schemes cannot simultaneously cater for smooth signals, noisy signals, and discontinuities such as edges in images. To overcome this, many adaptive DPCM schemes have been proposed, includ...
Background and objectives Exacerbations are important outcomes in COPD both from a clinical and an economic perspective. Most studies investigating predictors of exacerbations were performed in COPD patients participating in pharmacological clinical trials who usually have moderate to severe airflow obstruction. This study was aimed to investigate whether predictors of COPD exacerbations depend...
Intrinsic disorder in proteins plays important roles in transcriptional regulation, translation, and cellular signal transduction. The experimental annotation of the disorder lags behind the rapidly accumulating number of known protein chains, which motivates the development of computational predictors of disorder. Some of these methods address predictions of certain types/flavors of the disord...
Following the econometric literature on model misspecification, we examine statistical inference for linear regression coefficients βj when the predictors are random and the linear model assumptions of first and/or second order are violated: E[Y |X1, ..., Xp] is not linear in the predictors and/or V [Y |X1, ..., Xp] is not constant. Such inference is meaningful if the linear model is seen as a ...
BACKGROUND AND PURPOSE The paradox of the reported low prevalence of atrial fibrillation (AF) in blacks compared with whites despite higher stroke rates in the former could be related to limitations in the current methods used to diagnose AF in population-based studies. Hence, this study aimed to use the ethnic distribution of ECG predictors of AF as measures of AF propensity in different ethni...
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