نتایج جستجو برای: chain referral sampling
تعداد نتایج: 536894 فیلتر نتایج به سال:
The purpose of the current study was to access the degree to which the support needs of women with a newly diagnosed, early invasive, primary breast cancer and their families are being met. A random sample of 544 women diagnosed with early breast cancer was recruited to participate in a telephone survey via state and territory cancer registries. Sixteen percent of women reported not receiving e...
BACKGROUND: The COVID-19 pandemic has displaced millions of people worldwide, forcing them to work from home offices in a situation “new normal". Many office workers were pushed less than ideal settings the situation. Work causes complications for employees related their workplaces lacking appropriate support employers. OBJECTIVE: This article aims analyse how changed and affected workplace erg...
OBJECTIVES The purpose of this study was to identify the role of race in seeking and receipt of care for symptoms of coronary heart disease. METHODS Data on medical care, sociodemographic characteristics, symptoms, risk factors, income, and insurance were collected in a telephone interview for a random sample of 2030 Black and White adults in inner-city Boston. Rates of care-seeking for sympt...
BACKGROUND The aim of this study was to examine the relationship between perfectionism and coping strategies in drug-dependent men. This study is a descriptive correlational study. METHODS The statistical population of this study consisted of all drug-dependent men (n = 6237) in years 2010-2011, who were admitted to all self-referral rehabs in Kerman, Iran. From this statistical population, 3...
We show that the switch Markov chain for sampling simple undirected, as well as bipartite, graphs with a given degree sequence is rapidly mixing when the degree sequence is strongly stable. Strong stability is closely related to the notion of P-stability introduced by Jerrum and Sinclair (1990), and is satisfied by all degree sequences for which the switch chain is known to be rapidly mixing ba...
Side chain optimization is a fundamental component of protein modeling applications such as docking, structural prediction, and design. In these applications side chain flexibility is often provided by rotamer or conformer libraries, which are collections of representative side chain conformations. Here we demonstrate that the sampling provided by the library can be substantially improved by ad...
For reliability analysis of implicit limit state function, an improved line sampling method is presented on the basis of sample simulation in failure region. In the presented method, Markov Chain is employed to simulate the samples located at failure region, and the important direction of line sampling is obtained from these simulated samples. Simultaneously, the simulated samples can be used a...
background: who suggest that family physician is the core in the world efforts for quality improvement, cost effectiveness, and equity in the health care systems. this study evaluates the impact of the program on accessibility of the services, case finding, patient referral, feedback process and insurance coverage in the rural health units. methods: this study was quasi experimental. it compar...
background: orthopaedic surgeons have a pivotal role in transitioning the care of orthopedic patients from a biomedical to a biopsychosocial model. in an effort to foster this transition, we designed a study aimed to determine surgeons’ attitudes and practice of noticing, screening, discussing psychological illness with patients, as well as making referrals to address psychosocial issues in pat...
Importance sampling is a classical Monte Carlo technique in which a random sample from one probability density, π1, is used to estimate an expectation with respect to another, π. The importance sampling estimator is strongly consistent and, as long as two simple moment conditions are satisfied, it obeys a central limit theorem (CLT). Moreover, there is a simple consistent estimator for the asym...
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