[PDF] Top 20 A logistic mixture model for a family based association study
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A logistic mixture model for a family based association study
... of association as a generalized linear model, though proper parameter inference can be made only when correcting for ascertainment or building the model on a conditional likelihood ... See full document
5
Statistical analysis of saving habits of employees: a case study at Debre Birhan Town in North Shoa, Ethiopia
... this study has been to assess saving habits and identify factors that influence the saving habits of employees at Deber Birhan ...Binary logistic regression and Bayesian statistical methods were ...binary ... See full document
41
A comparative study of mixture cure model
... to model survival data with different ...to model survival data with a cure fraction which will be discussed later, frailty model [3] take into account the effect of unobserved factors and frailty ... See full document
6
A Bayesian hierarchical logistic regression model of multiple informant family health histories
... same family are available to clinicians and researchers, showing promise in improving risk as- sessments without having to rely on improving the com- pleteness and accuracy of each individual’s FHH ...previous ... See full document
10
Regional Decomposition of Images using Three Parameter Logistic Type Mixture Model with K Means
... parameter logistic type mixture ...parameter logistic type probability ...other model based segmentation algorithms for some images, which are having laptykurtic image ...comparative ... See full document
8
ICT based market information services in Kerala-Determinants and barriers of adoption
... ICT based market information services are getting wide importance as a means of empowering farmers by enabling them to take informed decisions, and in removing information ...This study analyses ... See full document
6
Abstract: Based on a rich data set of recoveries donated by a debt collection business, recovery rates
... this study, we find our LGD distribution is actually ...LGD based on a data set of 55,000 defaulted credit cards in the UK from 1999 to ...continuous-discrete model, where the boundary values 0 and 1 ... See full document
17
Association between social and family support and antenatal depression: a hospital based study in Chengdu, China
... third persistent depressive group in multivariate model. Consistent with previous studies, employment and higher educational level of pregnant women were related to the AD prevalence [25]. It has been found that ... See full document
10
Logistic Bayesian LASSO for detecting association combining family and case control data
... simulation study wherein data from a null model was ...the family dependent structure and the linkage disequilibrium structure of the real data, we simulated our data using the GAW20 families and the ... See full document
5
Serial and parallel implementations of model based clustering via parsimonious Gaussian mixture models
... a family of Gaussian mixture models, with parsimo- nious factor analysis-like covariance structure, is described and an efficient algorithm for its implementation is ...this family of mod- els, ... See full document
25
A Data Integration Model for Multi-Agency Assets in Disaster Logistic Management
... integrated model database or system, effectiveness in communication can be increased as the complexity of the overall process is ...A study by Hristidis, Chen, Li, Luis, and Deng in 2010 discusses data ... See full document
12
A Logistic Regression Mixture Model for Interval Mapping of Genetic Trait Loci Affecting Binary Phenotypes
... The simulation results also show the weak perfor- mance of the estimates for the BTL locations. As a referee remarked, it is often the case that the QTL estimates are drawn to the center of the flanking marker interval. ... See full document
10
A small group learning model for evidence-based medicine
... EBM bootcamp was divided into four 2-hour sessions spread across the 4-week rotation. Residents worked in small groups of three to four to explore the fundamentals of EBM through interactive dialogue and mock clinical ... See full document
5
<p>A New Immunological Prognostic Model Based on Immunohistochemistry for Extranodal Natural Killer/T-Cell Lymphoma Patients After Non-Anthracycline-Based Chemotherapy</p>
... Categoric data were compared via Pearson ’ s chi-square or Fisher ’ s test, whereas continuous variables were compared via Mann – Whitney and Kruskal – Wallis tests. Optimal cut- off values of nPD-L1 level and FoxP3+Treg ... See full document
10
The Hydra model a model for what?
... by Trembley. At that time, dangerous cracks appeared in the base of the cupola of St. Peter’s Basilica in Rome (Fig. 12). Methods of saving the building were proposed, involving clumsy reinforcements of the walls or ... See full document
10
A Conceptual Model for Ontology Based Intelligence
... Different definitions of intelligence as well as related parts for doing mental activities such as interactive signals, memory and mental activities were described. In part of interactive signals, method of perception ... See full document
8
A Model for Scuffing Prediction
... Some damage models use quite complex analytical/numerical solutions of the thermo- elastohydrodynamic model for non-conformal contacts. This calculation can be extremely time- consuming and it is difficult to ... See full document
8
The Power Law as a Model for an Electrostatic Filter Ash and Water Mixture
... logical model, lacks a description of the dependency between the shear stress and the shear rate for more complex systems, which paste fluids most certainly ... See full document
15
Genome wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease
... Due to unresolved genotype-calling issues with a proportion of SNPs on the sex chromosomes, only autosomal SNPs were included in this analysis (with the exception of rs5984894, an X chromosome SNP that has previously ... See full document
16
HerbApp: A Mobile Based Application for Herbal Leaf Recognition Using Image Processing and Regularized Logistic Regression Classifier
... Analysis of plants would depend on their different characteristics. From these characteristics, classification of plants is made easy. There are varieties of ways to identify a plant. The traditional methods commonly ... See full document
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