نتایج جستجو برای: transition probability matrics
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Investors use different approaches to select optimal portfolio. so, Optimal investment choices according to return can be interpreted in different models. The traditional approach to allocate portfolio selection called a mean - variance explains. Another approach is Markov chain. Markov chain is a random process without memory. This means that the conditional probability distribution of the nex...
In 2002, Hyman and Fenton observed that it may be unrealistic for a drug to be effective for all the manifestations of a complex disorder such as schizophrenia. They recommended that drug development focus on components of these disorders that may be more proximate to the pathophysiology. This approach led to National Institute of Mental Health’s (NIMH) support of the MATRICS (Management and Tr...
Introduction: Heart disease is the leading cause of death in the world. Acute Myocardial Infarction (AMI) is one of the most common cause of mortality causes in Iran. The purpose of this study is survey of the transition rates between heart disease stages and the effect of metabolic syndrome hazard on these transition rates by using a multi-state Markov model. Materials and Methods: 457 patient...
OBJECTIVES The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative was designed to encourage the development of cognitive enhancing agents for schizophrenia. For a medication to receive this indication, regulatory agencies require evidence of improvement in both cognition and functional outcome. Functional capacity measures typically used in clinical tr...
Following a competitive application process sponsored by the National Institute of Mental Health (NIMH), the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative was launched. After 2 years of large consensus meetings, a five-site psychometric and validation study, complex intellectual property agreements, and an endorsement by NIMH and the U.S. Food and...
Introduction: The cell cycle network is responsible of control, growth and proliferation of cells. The relationship between the cell cycle network and cancer emergence, and the complex reciprocal interactions between genes/proteins calls for computational models to analyze this regulatory network. Ample experimental data confirm the existence of random behaviors in the interactions between gene...
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