Πλοήγηση ανά Θέμα "Models, Statistical"
Αποτελέσματα 1-14 από 14
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Accuracy and Calibration of Computational Approaches for Inpatient Mortality Predictive Modeling
(2016)Electronic Health Record (EHR) data can be a key resource for decision-making support in clinical practice in the "big data" era. The complete database from early 2012 to late 2015 involving hospital admissions to Inselspital ... -
Bayesian latent class models to estimate diagnostic test accuracies of COVID-19 tests
(2021)[No abstract available] -
Clinical validation of the LKB model and parameter sets for predicting radiation-induced pneumonitis from breast cancer radiotherapy
(2006)The choice of the appropriate model and parameter set in determining the relation between the incidence of radiation pneumonitis and dose distribution in the lung is of great importance, especially in the case of breast ... -
Extending hidden Markov models to allow conditioning on previous observations
(2018)Hidden Markov Models (HMMs) are probabilistic models widely used in computational molecular biology. However, the Markovian assumption regarding transition probabilities which dictates that the observed symbol depends only ... -
Impact of real-time traffic characteristics on crash occurrence: Preliminary results of the case of rare events
(2019)Considerable efforts have been made from researchers and policy makers in order to explain road crash occurrence and improve road safety performance of highways. However, there are cases when crashes are so few that they ... -
Inference on the overlap coefficient: The binormal approach and alternatives
(2021)The overlap coefficient ((Formula presented.)) measures the similarity between two distributions through the overlapping area of their distribution functions. Given its intuitive description and ease of visual representation ... -
Meta-analysis in Stata using gllamm
(2015)There are several user-written programs for performing meta-analysis in Stata (Stata Statistical Software: College Station, TX: Stata Corp LP). These include metan, metareg, mvmeta, and glst. However, there are several ... -
Methods of analysis and meta-analysis for identifying differentially expressed genes
(2018)Microarray approaches are widely used high-throughput techniques to assess simultaneously the expression of thousands of genes under certain conditions and study the effects of certain treatments, diseases, and developmental ... -
Neither replication nor simulation supports a role for the axon guidance pathway in the genetics of Parkinson's disease
(2008)Susceptibility to sporadic Parkinson's diseases (PD) is thought to be influence by both genetic and environmental factors and thier interaction with each other. Statistical models including multiples variants in axon ... -
Quantifying functionals of age distributions in the wild by solving an operator equation
(2017)Residual demography is a recent concept that has proved to be a useful tool to gain insights about the age distributions of wild populations, especially insects. We develop an operator equation that permits the derivation ... -
Recording lifetime behavior and movement in an invertebrate model
(2011)Characterization of lifetime behavioral changes is essential for understanding aging and aging-related diseases. However, such studies are scarce partly due to the lack of efficient tools. Here we describe and provide proof ... -
Semi-supervised learning of hidden markov models for biological sequence analysis
(2019)Motivation: Hidden Markov Models (HMMs) are probabilistic models widely used in applications in computational sequence analysis. HMMs are basically unsupervised models. However, in the most important applications, they are ... -
Testing against umbrella or tree orderings for binomial proportions with an adaptation of an insect resistance case
(2020)Alternative hypotheses for order restrictions, such as umbrella or inverse umbrella (a.k.a tree) orderings, have been studied extensively in the literature, although less so when the studied response for each individual ... -
Using Combined Diagnostic Test Results to Hindcast Trends of Infection from Cross-Sectional Data
(2016)Infectious disease surveillance is key to limiting the consequences from infectious pathogens and maintaining animal and public health. Following the detection of a disease outbreak, a response in proportion to the severity ...