2000 cluster analysis. Medical search. Frequent questions

Trained on a variety of simulated clustered data, the neural network can classify millions of points from a typical single-molecule localization microscopy data set, with the potential to include additional classifiers to describe different subtypes of clusters. (nature.com)

with the title "Enhanced path-based Clustering Algorithm" shows the results that path analysis with cluster integration gives results that outperform other cluster algorithms. (frontiersin.org)
For a certain class of clustering algorithms (in particular k-means, k-medoids and expectation-maximization algorithm), there is a parameter commonly referred to as k that specifies the number of clusters to detect. (wikipedia.org)
Includes interactive pre- and post processing, various fitting algorithms, powerful background estimation methods, drift correction & interactive rendering and analysis. (svi.nl)
Firstly, we used clustering algorithms, Markov cluster algorithm (MCL), Molecular complex detection (MCODE) and Clique percolation method (CPM) to decompose human PPI network into dense clusters as the candidates of disease-related clusters, and then a log likelihood model that integrates multiple biological evidences was proposed to score these dense clusters. (ijbs.com)

Georgia multiple indicator cluster survey 1999 (MICS). (who.int)

The incidence of such clusters was compared to the incidence that would be expected by chance by using space-time nearest-neighbor analysis of 4,887 confirmed invasive meningococcal cases identified in the 9-year surveillance period 1993-2001 in the Netherlands. (cdc.gov)

Clusters are recognized when meningococcal cases of the same phenotypic strain (markers: serogroup, serotype, and subtype) occur in spatial and temporal proximity. (cdc.gov)
A group of unrelated cases that occur in temporal and spatial proximity may be misinterpreted as a cluster or outbreak, but these cases would not justify additional public health measures, except perhaps to reassure the public. (cdc.gov)
In a real cluster, cases of the same strain occur in temporal and spatial proximity at a higher frequency than by chance. (cdc.gov)
Quantifying the extent to which points are clustered in single-molecule localization microscopy data is vital to understanding the spatial relationships between molecules in the underlying sample. (nature.com)
A distribution of points within the imaging field can be interrogated using spatial point pattern analyses to reveal the spatial relationships between the points and higher-scale relationships between clusters of points, or between points from different imaging channels. (nature.com)
Common among many of these approaches is the selection of analysis parameters, which can lead to a suboptimal interpretation of the data, for example, when points are clustered at a different spatial scale to the one used for assessment or when points are not homogeneously clustered. (nature.com)
The understanding of relationships between ecosystem services and the appropriate spatial scales for their analysis and characterization represent opportunities for sustainable land management. (mdpi.com)
Given recent rapid advancements in information technologies, it is required a comprehensive framework that enables simultaneous detection of multiple spatial clusters, whether disease cases are randomly scattered or clustered around specific epicenters on a larger scale. (springer.com)
We develop a new methodology that detects multiple spatial disease clusters and evaluates its performance compared to existing other methods. (springer.com)
A novel framework for spatial multiple-cluster detection is developed. (springer.com)
Based on the domain with which disease clusters are dealt, the types of disease clustering are threefold: being purely temporal, purely spatial, and spatio-temporal, for each of which different test techniques are proposed [ 2 ]. (springer.com)
In particular, spatial clusters indicate a spatial tendency for the presence of a disease or incident, the risk of which is relatively high to other surrounding regions. (springer.com)
There have been many statistical tests widely used [ 3 ] for identifying meaningful spatial clusters. (springer.com)

Determining the number of clusters in a data set, a quantity often labelled k as in the k-means algorithm, is a frequent problem in data clustering, and is a distinct issue from the process of actually solving the clustering problem. (wikipedia.org)
The strategy of the algorithm is to generate a distortion curve for the input data by running a standard clustering algorithm such as k-means for all values of k between 1 and n, and computing the distortion (described below) of the resulting clustering. (wikipedia.org)

Quantitative trait loci analyses (log of the odds=15) indicated association of the genetic factor within a few centiMorgan of the best evidence for Ahl [Johnson et al. (cdc.gov)
Genetic analyses pointed to two clear clusters (top graph) that correspond to the subspecies P. m. moabiticus (light gray) and P. m. yatii (dark gray). (bou.org.uk)
Further genetic studies and mediation analyses are needed to validate and extend these findings. (bvsalud.org)

Molecular analysis of the fibrinogen gene cluster in 16 patients with congenital afibrinogenemia: novel truncating mutations in the FGA and FGG genes. (medlineplus.gov)
The beta cluster contains 16 genes and 3 pseudogenes, each encoding 6 extracellular cadherin domains and a cytoplasmic tail that deviates from others in the cadherin superfamily. (nih.gov)
Unlike the alpha and gamma clusters, the transcripts from these genes are made up of only one large exon, not sharing common 3' exons as expected. (nih.gov)
Genes Dev, 2000 May 15. (nih.gov)
Microarray analysis revealed that HTZ1-activated genes cluster near telomeres. (sdbonline.org)
Bioinformatic and comparative genomic analyses allowed us to identify genes encoding three candidate antibacterial effectors located within SPI-6 and two candidate effectors located within SPI-19. (frontiersin.org)
Since genes associated with similar diseases/disorders show an increased tendency for their protein products to interact with each other through protein-protein interactions (PPI), clustering analysis obviously as an efficient technique can be easily used to predict human disease-related gene clusters/subnetworks. (ijbs.com)
We also found that most of the disease-related clusters consisted of tissue-specific genes that were highly expressed only in one or several tissues, and a few of those were composed of housekeeping genes (maintenance genes) that were ubiquitously expressed in most of all the tissues. (ijbs.com)
In recent years, many studies had shown the utility of these networks in extracting disease-related clusters/subnetworks [ 2 ] and inferring disease-causing genes [ 2 , 7 - 11 ]. (ijbs.com)
A combination of de novo transcriptome assembly and DGE analysis was shown to be a powerful method for identifying genes encoding enzymes potentially involved in the biosynthesis of important secondary metabolites in a non-model plant. (biomedcentral.com)
Analysis of Pseudomonas putida alkane-degradation gene clusters and flanking insertion sequences: evolution and regulation of the alk genes. (igem.org)

Social phobia subtypes in the general population revealed by cluster analysis. (bvsalud.org)

The gene clusters demonstrate an unusual genomic organization similar to that of B-cell and T-cell receptor gene clusters. (nih.gov)

Many existing computational approaches are limited in their ability to process large-scale data sets, to deal effectively with sample heterogeneity, or require subjective user-defined analysis parameters. (nature.com)
This list can be plotted and rasterized for examination with conventional image analysis tools, but an ideal method would operate on the original coordinate data without requiring its transformation. (nature.com)
These studies generate data that are clustered. (annfammed.org)
A special case of clustered data is an intervention study where clinicians or practices are randomized into an intervention or control group. (annfammed.org)
A major issue in the analysis of clustered data is that observations within a cluster are not independent, and the degree of similarity is typically measured by the intracluster correlation coefficient (ICC). (annfammed.org)
Although clustered data are common, investigators often overlook both the special analysis challenges and the unique opportunities inherent with clustered data. (annfammed.org)
4, 5 In this issue of the Annals , Reed suggests a convenient correction procedure to address clustered data. (annfammed.org)
Also in this issue, the article by Killip et al 7 provides a formula to compute an effective sample size for clustered data. (annfammed.org)
Examples in the Killip et al article show how the intracluster correlation, number of observations within a cluster, and number of clusters are all interrelated in estimating sample size and power for clustered data. (annfammed.org)
Clustered data imply a hierarchical nature to the data, and while many levels can be considered, two levels are most commonly specified. (annfammed.org)
Considering an example of data with patients clustered with physicians, a comprehensive multilevel data analysis aims to assess the direct effect of patient and clinician/practice level variables on the outcome. (annfammed.org)
Statistical software to conduct these types of analyses and for computing sample size for clustered data now exist, and we encourage their wider use. (annfammed.org)
9- , 11 While the two articles featured in this issue help raise awareness of the challenges and some solutions to analyzing clustered data, the skills required for optimal analysis of clustered data often are beyond those of most clinician-investigators. (annfammed.org)
Studies involving clustered data would greatly benefit from the expertise provided by statisticians versed in the analysis of clustered data. (annfammed.org)
The correct choice of k is often ambiguous, with interpretations depending on the shape and scale of the distribution of points in a data set and the desired clustering resolution of the user. (wikipedia.org)
In addition, increasing k without penalty will always reduce the amount of error in the resulting clustering, to the extreme case of zero error if each data point is considered its own cluster (i.e., when k equals the number of data points, n). (wikipedia.org)
Intuitively then, the optimal choice of k will strike a balance between maximum compression of the data using a single cluster, and maximum accuracy by assigning each data point to its own cluster. (wikipedia.org)
The elbow method looks at the percentage of explained variance as a function of the number of clusters: One should choose a number of clusters so that adding another cluster doesn't give much better modeling of the data. (wikipedia.org)
In statistics and data mining, X-means clustering is a variation of k-means clustering that refines cluster assignments by repeatedly attempting subdivision, and keeping the best resulting splits, until a criterion such as the Akaike information criterion (AIC) or Bayesian information criterion (BIC) is reached. (wikipedia.org)
The distortion of a clustering of some input data is formally defined as follows: Let the data set be modeled as a p-dimensional random variable, X, consisting of a mixture distribution of G components with common covariance, Γ. (wikipedia.org)
Multi-level alert clustering for intrusion detection sensor data. (crossref.org)
ABSTRACT To determine the distribution and correlates of clustering of cardiovascular disease (CVD) risk factors, data from the Oman National Health Survey, 2000 were analysed. (who.int)
Typically when data are presented, the fluor- escent intensity from the tissue is pseudo-colored red and the intensity from the reference green, and the logarithmic ratio of background corrected red and green intensities for each gene (spot) is subject to analysis (see Fig. 1 ). (lu.se)
Since 1990, many improvements have occurred in data resources, investigative techniques, and analytic/statistical methods, and much has been learned from both large- and small-scale cancer cluster investigations. (cdc.gov)
Making Neighborhoods initiative uses cluster analysis, a common strategy in economic and marketing studies, to pars large amounts of data into groups with shared traits. (chpcny.org)
Quackenbush J. Computational analysis of microarray data . (udel.edu)
Using data on the health of the population gathered systematically since 2000, they mapped the distribution of self-reported cases of TB over time to identify clustering of cases in time and space. (aidsmap.com)
The data suggest that the main causes of the 2000-07 crises were already in place before the 1990s. (nd.edu)
Data analyses involved a 2-step approach. (humankinetics.com)
We evaluated the proposed approach using a real dataset, the hospital admission for chronic obstructive pulmonary disease (COPD) in England, and simulated data, whether the approach tends to select the correct number of clusters. (springer.com)
This document presents analytic and reporting guidelines that should be used for NHANES data analyses and publications. (cdc.gov)
For trend analysis, the current documentation can be compared with documentation from past NHANES surveys to determine if a specific data item is comparable with a similar data item collected in previous surveys. (cdc.gov)
Despite the rigorous quality control standards, estimates produced from any data set are subject to sampling and non-sampling variation and interpretation of analysis must proceed accordingly. (cdc.gov)
Methods-- We implemented a pragmatic cluster randomized controlled trial to test the effectiveness of an automated interactive voice response tool designed to provide physicians with real-time patient-reported data about responses to newly prescribed diabetic peripheral neuropathy medicines. (cdc.gov)
It is essential to complete the reporting instrument by providing information/data in the required format to ensure consistency and for ease of data processing and analysis. (who.int)
The study consisted of secondary data analyses from the Multiple Indicator Cluster Surveys (MICS) conducted in Togo. (bvsalud.org)
We conducted a retrospective, cross-sectional analysis of demographic and clinical data of ACCHS patients, stratified by IGRA testing status. (who.int)
STUDY DESIGN: CDC LOCATe(SM) data from 765 health facilities in the United States, including 17 states, one territory, one large multi-state hospital system, and one perinatal region within a state, was collected between 2016 and 2021 for this cross-sectional analysis. (cdc.gov)
We analyzed American Hospital Association Annual Survey data from 2000 to 2019. (cdc.gov)
Health information is the continuous collection and analysis of health data coming from different sources. (who.int)
ABSTRACT We estimated the prevalence of type 2 diabetes in the Islamic Republic of Iran by systematic review of all available studies in the country between 1996 and 2004 and aggregation of the data using meta-analysis and meta-regression methods. (who.int)

2000. Genomics 70, 171-180]. (cdc.gov)

Statistical methods that can be used to deal with these problems are using cluster integration and path analysis [ 3 ]. (frontiersin.org)
This study examines the application of integrated clusters in path analysis with three different linkage methods, namely Ward linkage, Complete linkage, and Average linkage. (frontiersin.org)
Another set of methods for determining the number of clusters are information criteria, such as the Akaike information criterion (AIC), Bayesian information criterion (BIC), or the deviance information criterion (DIC) - if it is possible to make a likelihood function for the clustering model. (wikipedia.org)
Methods and analysis The study is a three-arm cluster-randomised trial with general practices being randomised and outcomes measured at patient level. (bmj.com)
Hierarchical cluster analysis methods using Ward's minimum variance were employed to identify clusters with related medical diagnosis categories. (biomedcentral.com)

From Jan. 1, 2008 through June 4, 2021, the most likely cluster of suicides, although not statistically significant, was identified between March 2020 and June 2021, which coincided with the coronavirus disease 2019 (COVID-19) pandemic. (health.mil)
To better understand the relationship between births and obstetric beds during 2000-2019, we examined changes over time in births, birth hospital distributions (i.e., hospital birth volume, ownership, and urban-rural designation), and the ratio of births to obstetric beds. (cdc.gov)

This study explored rates of death by suicide among active component U.S. Army soldiers during Jan. 1, 2000-June 4, 2021 by birth cohort including Baby Boomers (1946-1964), Generation X (1965-1980), Millennials (1981-1996), and Generation Z (1997-2012). (health.mil)
From 2008 through 2021, the most likely cluster of deaths by suicide was identified from March 2020 to June 2021, which coincided with the COVID-19 pandemic. (health.mil)
Assuming a soldier reaches the age range for being eligible for retirement based on at least 20 years of service (between 38 and 62 years), the deaths by suicide between 2000 and 2021 constitute 25,454-82,766 years of life lost to the Army. (health.mil)

The primary analysis will use multilevel modelling to account for repeated measurement of outcomes in patients clustered within practices. (bmj.com)
An extension of multivariable analysis that is used to model two or more outcomes at the same time. (aidsmap.com)

Outbreaks are recognized when place (e.g., an educational institution like a primary school), time (e.g., within 1 month), and conventional phenotypic markers (same serogroup, serotype, and subtype) make a connection likely (field cluster) or when an excess of incidence (e.g., 20x normal) is noticed in a retrospectively specified geographic or population area within a chosen period (community outbreak). (cdc.gov)

hierarchical clustering avoids the problem altogether. (wikipedia.org)

In addition, euglycaem- been accompanied by cultural changes, a ic patients with hyperinsulinaemia had a reduction in the prevalence of communica- cluster of risk factors for CVD. (who.int)
Survey, 2000 identified the prevalence of result from, hypertension. (who.int)
This study aimed at studying the tends of the prevalence of "zerodose" children from 2000 to 2017 and making predictions for 2030. (bvsalud.org)

In 2014 , CHPC released the first Making Neighborhoods report and interactive map studying demographic change in New York City in the decade spanning 2000 to 2010. (chpcny.org)
This report summarizes the findings of CHPC's cluster analysis measuring demographic change in NYC neighborhoods from 2000 to 2010. (chpcny.org)
The study uses cluster analysis to measure demographic change in NY region from 2000 to 2010 and presents potential implications of the results for the regional housing market looking forward. (chpcny.org)
Mapping these clusters allowed the researchers to identify likely focal points of transmission in the district, to see if these locations changed over time and to assess the geographical and demographic factors - including HIV and ART coverage - associated with the distribution of TB in the district. (aidsmap.com)

Multivariate analyses were conducted to identify characteristics associated with reliable contraceptive use (IUD use or consistent oral contraceptive use) in 1994 and 2003. (guttmacher.org)

Five distinct clusters were identified and grouped into three QOL domains. (biomedcentral.com)
Analyses of the mitochondrial gene ND2 revealed two distinct clusters corresponding to the two subspecies. (bou.org.uk)

Small intracluster correlations coupled with large cluster size can still affect the validity of conventional statistical analyses. (annfammed.org)
A case study and simulation studies conducted both confirmed that the proposed method performed better compared to conventional cluster detection procedures, in terms of higher sensitivity. (springer.com)
We proposed a new statistical framework that simultaneously detects and evaluates multiple disease clusters in a large study space, with high detection power compared to conventional approaches. (springer.com)

A before and after pragmatic cluster randomised controlled trial utilising a two by two incomplete block design. (bmj.com)

these analyses are generically called multilevel analyses. (annfammed.org)
8 Hence, multilevel analyses are designed to analyze variables from different levels simultaneously, all the while taking into account the intracluster correlation. (annfammed.org)

In what follows we limit ourselves to the analysis of gene expression measurements obtained using microarrays with small spots of DNA fixed to glass slides. (lu.se)

2 Failure to take into account the clustered structure of the study design during the planning phase of the study also can lead to underpowered study designs in which the effective sample size and statistical power to detect differences are smaller than planned. (annfammed.org)
Whether the statistical significance information of each cluster is available, however, depends on the technique employed [ 5 ]. (springer.com)
The techniques that do not determine any statistical significance are called global clustering tests, techniques developed by Moran [ 6 ], Whitemore et al. (springer.com)
In contrast, the other techniques that provide the statistical significance information, on which the present study focus, are called cluster detection tests (CDTs), including those proposed by Besag and Newell [ 4 ], Turnbull et al. (springer.com)
These analytic guidelines will be modified and updated on a periodic basis as new information is acquired and as new statistical techniques for analysis of complex sample surveys are introduced. (cdc.gov)

Molecular analysis suggested that Esc2p contributed to silencing in a manner similar to Sir1p and probably helped recruit or stabilize the other Sir proteins, while Htz1p present at HMR assembled a specialized chromatin structure necessary for silencing (Dhillon, 2000). (sdbonline.org)
We found that the clusters decomposed by CPM outperformed MCL and MCODE as the candidates of disease-related clusters with well-supported biological significance in biological process, molecular function and cellular component of Gene Ontology (GO) and expression of human tissues. (ijbs.com)

Extending the analyses to three clusters (bottom graph) did not reveal any population structure. (bou.org.uk)

More precisely, if one plots the percentage of variance explained by the clusters against the number of clusters, the first clusters will add much information (explain a lot of variance), but at some point the marginal gain will drop, giving an angle in the graph. (wikipedia.org)

The objective of our study was to explore the phenomenon of meningococcal clustering in a more objective way by using a nearest-neighbor analysis in space and time that compares the actual occurrence of clusters with their background incidence. (cdc.gov)
This study aims to compare integrated clusters on various linkages (Ward, Complete, and Average linkage) with path analysis to classify the behavior of subservient to pay for mortgages. (frontiersin.org)
So, this study uses the cluster integration with path analysis method by comparing the linkage. (frontiersin.org)
In this study, we want to examine the effect of using linkage on the integrated Cluster path analysis approach. (frontiersin.org)
In addition to using cluster analysis, this study also uses path analysis. (frontiersin.org)
These guidelines utilize a four-step approach (initial response, assessment, major feasibility study, and etiologic investigation) as a tool for managing a reported cluster. (cdc.gov)
Many state, local, and tribal health departments have used the 1990 Guidelines as a basis for developing and implementing protocols to investigate suspected cancer clusters, employing the four-step approach (initial response, assessment, major feasibility study, and etiologic investigation) identified in the 1990 Guidelines. (cdc.gov)
The Making Neighborhoods study measures change from 2000 to 2010, as well as presents our thoughts on the implications of the results for the regional housing market looking forward. (chpcny.org)
Three clusters persisted throughout the study period, indicating that a high number of active cases were present in this area. (aidsmap.com)
The study population consisted of children aged 12-23 months surveyed during MICS2 in 2000, MICS3 in 2006, MICS4 in 2010 and MICS6 in 2017. (bvsalud.org)

Would this still be considered as a single cluster or preferably another cluster with a different epicenter? (springer.com)

They promote evidence-based health policymaking through a comprehensive and rigorous analysis of the dynamics of the health situation and health system in the country. (who.int)

In such cluster-randomized designs, all patients of a clinician or practice are assigned to the same treatment, and this design is often used when logistics of implementation or the need to avoid contamination of treatment arms is a priority. (annfammed.org)

The lowest QOL domain contained one cluster with a clinical triad reflecting musculoskeletal pain, concussion, and mental health morbidity. (biomedcentral.com)

According to Solimun [ 4 ], cluster analysis is used to group homogeneous objects into one and the characteristics between groups are heterogeneous. (frontiersin.org)
Using 16 variables to measure race, age, foreign birth, household/family type, education level, and poverty, our model identified 14 clusters of census tracts where populations share these characteristics. (chpcny.org)
Initially, cluster analysis results revealed 3 clusters of coaches with characteristics reflecting profiles based on the theoretical determinants of commitment. (humankinetics.com)

In most situations, the numeric value of the intra-cluster correlation tends to be small and positive. (annfammed.org)
The guidelines are intended to apply to situations in which a health department responds to an inquiry about a suspected cancer cluster in a residential or community setting only. (cdc.gov)

A distinctive feature of the methodology is to adopt a circular scanning window varying its size for defining potential clusters. (springer.com)

When two or more possibly related cases (secondary case or cluster) are identified, group contacts in an educational institution (daycare center or primary school) also receive prophylaxis with rifampicin. (cdc.gov)
Clusters of new cases of tuberculosis (TB) provide strong evidence of areas that need to be prioritised for improved antiretroviral therapy (ART) coverage, and improved ART coverage is associated with a reduction in new TB cases, according to research carried out in KwaZulu-Natal province, South Africa, published in July in Nature Scientific Reports . (aidsmap.com)
Cases were clustered in time and space into nine clusters, and the four largest clusters were grouped in a periurban area adjacent to a major highway in the south-east of the district. (aidsmap.com)
A cluster analysis strongly confirms that this model can explain both acute crises and their opposite, cases of democratic consolidation. (nd.edu)
Our method achieved a success rate with 98.59% and recovered the hidden disease-related clusters in 34.04% cases when removed one known disease gene and all its gene-disease associations. (ijbs.com)
Whether the cases of diseases are scattered randomly or clustered around multiple specific centers is a long-standing question in epidemiological studies [ 2 ]. (springer.com)
Differences in sex and age distribution between the groups and cases of a genetically and epidemiologically linked TB cluster in Aboriginal people in NSW were assessed using non-parametric tests. (who.int)
Since 2000, 48 genetically and epidemiologically linked cases of active TB (mycobacterial interspersed repetitive units [MIRU] pattern 23'3425153322) have been diagnosed in Aboriginal people. (who.int)

From this research, we want to get the best linkage to be used in the integrated Cluster path analysis approach to classify the behavior of compliant to pay for the type of KPR Purchase. (frontiersin.org)

Here, we develop a supervised machine-learning approach to cluster analysis which is fast and accurate. (nature.com)
State and local health departments can use these guidelines to develop a systematic approach to responding to community concerns regarding cancer clusters. (cdc.gov)

However, the authors reported that most of the studies had flaws in design or analysis so that the findings should be interpreted with caution. (bmj.com)

Bioinformatics: Sequence and Genome Analysis by David W. Mount [Cold Spring Harbor Laboratory Press]. (udel.edu)

Amongst those techniques, a class called the general test [ 4 ] searches for clusters without any preconceived assumptions on their locations. (springer.com)
As we scaled the system to 3000 clusters and beyond (within a single tenant), all our assumptions about our public cloud providers, scalability of our software daemons, operations tooling, and observability infrastructure broke down systematically. (f5.com)

As the clustering values can depend strongly on the overall density and arrangement of points, it is likely that the appropriate threshold for one image will be unsuitable for the next. (nature.com)

Atmospheric analysis, occupational safety and health. (cdc.gov)
Occupational or medical treatment-related clusters are not included in this report. (cdc.gov)

INDUSTRIAL AGGLOMERATION OF TAIWANESE ELECTRONICS FIRMS IN DONGGUAN, CHINA: A TOWN-LEVEL ANALYSIS LIAO, Felix H.F. 2009-01-01 00:00:00 Abstract The agglomeration of Taiwanese electronics firms in Dongguan of southern China has attracted considerable attention from both academics and policy makers over the past decade. (deepdyve.com)

The results showed that cluster integration in the Ward linkage method with path analysis was the best method, by comparing the coefficient of determination. (frontiersin.org)
The results of determining many clusters with different linkages will certainly give different results. (frontiersin.org)
These results describe a novel pathway for regulating transcription using variant histones to modulate chromatin structure (Santisteban, 2000). (sdbonline.org)

The output can be further refined for the measurement of cluster area, shape, and point-density. (nature.com)

The framework directly stands on the integrated bases of scan statistics and generalized linear models, adopting a new information criterion that selects the appropriate number of disease clusters. (springer.com)

Natural metabolic diversity encoded by the enterocin biosynthesis gene cluster. (mpg.de)

Phylogeographic analysis supported more recent colonization of high elevation populations which were also more genetically isolated, had more extreme heterozygote excess and had smaller effective population size than low. (nature.com)
During this period of isolation - probably instigated by a period of extreme aridity (Abed & Yaghan 2000) - there has been little to no gene flow across the 1200 kilometre-wide gap that currently separates the populations of P. m. moabiticus and P. m. yatii . (bou.org.uk)

Rate distortion theory has been applied to choosing k called the "jump" method, which determines the number of clusters that maximizes efficiency while minimizing error by information-theoretic standards. (wikipedia.org)

This protocol paper describes the content, design, implementation and evaluation of the cluster randomized controlled trial of the GoldiCare intervention in home care. (biomedcentral.com)
The cluster randomized controlled trial is a 16-week workplace organizational intervention implemented through operations managers at the home care units. (biomedcentral.com)
Cost-effectiveness analysis is conducted to compare each intervention condition (patch alone, counseling alone, and combined interventions) against the usual care condition. (biomedcentral.com)
Meta-analyses have shown that telephone counseling is an efficacious intervention for smoking cessation [ 14 ]. (biomedcentral.com)

Advanced EEG analysis using threshold-free cluster-enhancement and non-parametric statistics. (crossref.org)

Here, we addressed the effects of applying two cluster analyses (static and dynamic) for assessing bundles of ecosystem services across four different scales of observation (two administrative boundaries and two sizes of grids) over 13 years (from 2000 to 2013). (mdpi.com)
First, we identified the locations of all of these population clusters in 2000 and then we tracked these clusters 10 years later. (chpcny.org)
This paper addresses current problems of democratic instability in continental Latin America, assuming that all its countries have been at least "minimalist" democracies during the years 2000-07. (nd.edu)
It considers two periods in the post-cold war years: 1992-99 and 2000-07. (nd.edu)

According to Sudaryono [ 6 ] path analysis is a method that examines the direct and indirect effects of the hypothesized variables. (frontiersin.org)

Subsequently, MANOVA revealed significant differences between the 3 clusters on exhaustion and commitment. (humankinetics.com)

A solution can be found in model-based cluster analysis, such as Bayesian inference 7 , where cluster analysis outputs are scored against a model of clustering, allowing the best-scoring set of analysis parameters to be selected. (nature.com)
We have to solve various challenges in managing a large number of application clusters in various states (i.e. online, offline, admin-down, etc.) and we do this by leveraging the Kubernetes ecosystem and tooling with a declarative pull-based model using GitOps. (f5.com)

Using latent class analysis, the sample was grouped by the diameter of their fasting lipoproteins, and mixed effects models tested whether the distribution of MetS components varied across the groups. (biomedcentral.com)

6 The correction involves applying a formula to the standard errors and then conducting the planned analysis with the corrected standard errors. (annfammed.org)

However, existing studies of the geographical concentration of Taiwanese electronics firms in Dongguan have primarily been based on qualitative analyses. (deepdyve.com)
By means of immunohistochemistry and double-labeling studies using transgenic mouse lines as well as Western blot analyses, it was demonstrated that the newly generated antibodies specifically recognized the receptor proteins. (jneurosci.org)

Anatomy2

Organisms4

Diseases4

Chemicals and Drugs18

Analytical, Diagnostic and Therapeutic Techniques and Equipment50

Psychiatry and Psychology3

Phenomena and Processes44

Disciplines and Occupations11

Anthropology, Education, Sociology and Social Phenomena3

Technology, Industry, Agriculture2

Information Science16

Health Care28

Geographicals4

Simulated clustered data1

Algorithms4

19991

20011

Spatial13

Algorithm2

Genetic3

Genes11

Subtypes1

Genomic1

Data41

Genomics1

Methods5

20192

20213

Outcomes2

Serotype1

Hierarchical1

Prevalence3

Demographic4

Multivariate1

Distinct2

Conventional3

Pragmatic cluster1

Multilevel2

Gene expression1

Statistical5

Molecular2

Reveal1

Variance1

Study10

Another cluster1

Dynamics1

Patients1

Clinical1

Characteristics3

Situations2

Methodology1

Cases8

Classify1

Approach2

Findings1

Genome1

Assumptions2

Strongly1

Occupational2

Abstract1

Results3

Measurement1

Framework1

Diversity1

Populations2

Efficiency1

Intervention4

Threshold1

Years4

Method1

Differences1

Model2

Sample1

Correction1

Studies2