Exploratory analysis of multivariate censored data. Medical search. Frequent questions

In univariate and multivariate Cox regression analyses, GSDMC, IRF1, and PLCG1 were identified as prognostic biomarkers in PAAD. (hindawi.com)
The nomograms were developed based on the independent prognostic factors screened by multivariate Cox regression analyses. (xiahepublishing.com)

There are statistical methods (e.g. by Box-Cox or Yeo-Johnson, see references below) to automatically bring data vectors as close as possible to symmetry/normality using optimal power transformations. (stackexchange.com)
4. PASTECS - PASTECS (Package for the Analysis of Space-Time Ecological Series) provides several methods to deal with space-time ecological series. (r-project.org)
METHODS: Data for stage IB/II/IIIA NSCLC patients (diagnosed: 2001-2012) were retrieved from Danish population-based registries. (bvsalud.org)
Methods: We retrieved national-level data for each country from Google Trends and the Global Panel Database of Pandemic Policies. (unav.edu)
For multidimensional data analysis and feature extraction, the toolbox provides principal component analysis (PCA), regularization, dimensionality reduction, and feature selection methods that let you identify variables with the best predictive power. (mathworks.com)
Identify patterns and features by applying k-means, hierarchical, DBSCAN and other clustering methods, and dividing data into groups or clusters. (mathworks.com)
Research and quantitative methods for analysis of epidemiologic observational studies. (psu.edu)
STAT 507 Epidemiologic Research Methods (3) This 3-credit course develops research and quantitative methods related to the design and analysis of epidemiological (mostly observational) studies. (psu.edu)
Together, these two courses provide students with a complete review of research methods for the design and analysis for common studies related to human health, disease, and treatment. (psu.edu)
Data Mining methods are introduced by using examples to demonstrate the power of the statistical methods for exploring structure in data sets, discovering patterns in data, making predictions, and reducing the dimensionality by Principal Component Analysis (PCA) and other tools for visualization of high dimensional data. (psu.edu)
Exploratory data analysis, classification methods, clustering methods, and other statistical and algorithmic tools are presented and applied to actual data. (psu.edu)
These approaches potentially highlight outliers and/or non relevant effects (batch effect for example), which can be subsequently estimated and/or removed from the data thanks to appropriate methods. (biomedcentral.com)
5 Each objective requires specific methods and tools for conducting a systematic review and meta-analysis. (bmj.com)
DOE++ is described as 'ReliaSoft's Design of Experiments ( DOE ) software tool, DOE++, supports traditional Design of Experiment methodology and also expands upon the traditional DOE methods to support reliability-DOE, which provides the proper analysis treatment for interval and right-censored' and is a statistical analyzer in the development category. (alternativeto.net)
The focus ranges from exploring mathematical techniques useful to researchers in probability and statistics, to surveys of statistical methods used in particular application areas, to developing advanced data analytic skills. (edu.hk)
In recent semesters, seminar topics have included: advanced Bayesian data analysis, advanced big data analytics, advanced Monte Carlo methods, statistics in computational biology/Bioinformatics, etc. (edu.hk)
The course introduces the basic concepts and provides an overview of classical and modern methods of multivariate statistics and their applications. (ethz.ch)
Specialized methods of multivariate statistics: Classification, tree-based models, support vector machines, neural networks. (ethz.ch)
Getting to know advanced methods and software that are necessary such that the student can independently run an applied time series analysis. (ethz.ch)
Participants are familiar with common robust fitting methods for linear regression models as well as for exploratory multivariate analysis and are able to assess their suitability for the data at hand. (ethz.ch)
METHODS: Data from US patients treated with BPaL between 14 October 2019 and 30 April 2022 were compiled and analyzed by the BPaL Implementation Group (BIG), including baseline examination and laboratory, electrocardiographic, and clinical monitoring throughout treatment and follow-up. (cdc.gov)
This course introduces the basic concepts and provides an overview of classical and modern methods of multivariate statistics including visualization, dimension reduction, supervised and unsupervised learning for multivariate data. (ethz.ch)
The package revdbayes provides the Bayesian analysis of univariate extreme value models using direct random sampling from the posterior distribution, that is, without using MCMC methods. (cran.csiro.au)

This powerful software suite offers a range of advanced statistical analysis and visualization tools, making it a must-have for any data professional. (alfasoft.com)
Statgraphics Centurion is a comprehensive Windows desktop product for statistical analysis, data visualization and predictive analytics. (alfasoft.com)
Statgraphics 19 includes over 290 statistical procedures and special features, with many recent additions in the areas of data visualization, predictive analytics, data mining and machine learning. (alfasoft.com)
Statpoint's flagship data analysis and visualization product. (alternativeto.net)
Visualization techniques, principal component analysis, MDS and t-SNE. (ethz.ch)
To contextualize this framework, we propose a categorization and loose taxonomy of collaborative visualization and analysis techniques. (researchgate.net)

Statgraphics Technologies products provide several procedures for performing an analysis of variance: One-Way ANOVA, Multifactor ANOVA, Variance Components Analysis, General Linear Models, and Repeated Measures ANOVA. (alfasoft.com)
0. coin: Conditional Inference Procedures - Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems. (r-project.org)
Use one-way, two-way, multiway, multivariate, and nonparametric ANOVA, as well as analysis of covariance (ANOCOVA) and repeated measures analysis of variance (RANOVA). (mathworks.com)

The models include linear regression models, multinomial logit, multinomial probit, multivariate probit, multivariate mixture of normals (including clustering), density estimation using finite mixtures of normals as well as Dirichlet Process priors, hierarchical linear models, hierarchical multinomial logit, hierarchical negative binomial regression models, and linear instrumental variable models. (belnet.be)

Recursive Partitioning Decision Tree and PFS Outcomes by Identified Prognostic Subgroups in All Patients With Gene Expression Data. (jamanetwork.com)
Prevalence of Immune or Cell Cycle Gene Expression Signatures by Prognostic Subgroups For PFS (Panel A) and OS (Panel B) in all Pooled Patients With Gene Expression Data (n = 608). (jamanetwork.com)
Systematic reviews and meta-analyses are therefore needed that summarise the evidence about the prognostic value of particular factors. (bmj.com)
Two recent articles provided a guide to undertaking reviews and meta-analysis of prognostic (prediction) models. (bmj.com)

Interaction Screening for Ultra-High Dimensional Data. (unc.edu)
Sparse meta-analysis with high-dimensional data. (unc.edu)

Secondary analyses included OS and progression-free survival (PFS) in the ITT population and PD-L1 subgroups, and safety. (bvsalud.org)
A multivariate Cox proportional hazards model showed higher RI-SUV and higher extent of fibrosis score as independent predictors of shorter progression-free survival. (snmjournals.org)

In this paper, the author uses the 1973 cross-sectional Current Population Survey ( CPS ) matched to longitudinal Social Security administrative data (through 1998) to examine the relationship between retirement age and mortality for men who have lived to at least age 65 by 1997 or earlier. (ssa.gov)
Assessing model fit in joint models of longitudinal and survival data with applications to cancer clinical trials. (unc.edu)
The Paradox of the positive: exploratory tools for visualizing the individuals in (multivariate) longitudinal data. (biometricsociety.org)

Regression and classification algorithms let you draw inferences from data and build predictive models either interactively, using the Classification and Regression Learner apps, or programmatically, using AutoML. (mathworks.com)
Many toolbox algorithms can be used on data sets that are too big to be stored in memory. (mathworks.com)
Use tall arrays and tables with many classification, regression, and clustering algorithms to train models on data sets that do not fit in memory without changing your code. (mathworks.com)
The objective of the current research was to develop and verify a Machine learning survival predictive system for CRC based on immune gene expression data and machine learning algorithms. (biomedcentral.com)

Understand and describe potentially large sets of data quickly using descriptive statistics, including measures of central tendency, dispersion, shape, correlation, and covariance. (mathworks.com)

Data Mining refers to a process by which patterns are extracted from data. (alfasoft.com)
It is also much faster computationally, making it more suitable to large-scale data mining applications. (projecteuclid.org)

Celecoxib With Neoadjuvant Chemotherapy for Breast Cancer Might Worsen Outcomes Differentially by COX-2 Expression and ER Status: Exploratory Analysis of the REMAGUS02 Trial. (unc.edu)
The current study performed differentially expressed analyses between normal tissues and tumor tissues. (biomedcentral.com)

When we perform a principal components analysis (PCA) on a multivariate data set we are interested in finding orthogonal components that explain maximal variance in the data set. (stackexchange.com)

Data are often transformed either to meet the assumptions of a statistical model or to make the results of an analysis more interpretable. (stackexchange.com)
Especially helpful to practitioners is the StatAdvisor, which explains the results of statistical analyses in a manner suitable for presentation to non-statisticians. (alfasoft.com)
Our theoretical analysis provides new insights into nonparametric smoothing procedures and yields useful techniques for statistical exploration of features in the data. (projecteuclid.org)
Explore data through statistical plotting with interactive and visual graphics and descriptive statistics. (mathworks.com)
This filtering step leads to both a noise reduction in the data and an increase in the statistical power of the subsequent analysis. (biomedcentral.com)
Minitab is a statistical software for analyzing data in Lean Six Sigma quality and process improvement projects, and in statistics education. (alternativeto.net)
Interactive, visual statistical data analysis from SAS. (alternativeto.net)
The statistical analysis of extreme may be spread out in many packages depending on the topic of application. (cran.csiro.au)

An observational study with the size and level of analysis as ours is hardly achieved and infeasible to be conducted as a randomised clinical trial. (tajpharma.in)
This exploratory analysis of a prospective observational study involved a program that used ivermectin at a dose of 0.2 mg/kg/day for two consecutive days, every 15 days, for 150 days. (tajpharma.in)
The observational gridded climate datasets are among the primary sources of information for climate analysis and monitoring. (copernicus.org)

however, the 1973 CPS data do not provide the ability to test that hypothesis directly. (ssa.gov)

BACCO is an R bundle for Bayesian analysis of random functions. (belnet.be)
bayesforecast provides various functions for Bayesian time series analysis using 'Stan' for full Bayesian inference. (belnet.be)

An important technique for analyzing the effect of categorical factors on a response is to perform an Analysis of Variance. (alfasoft.com)

Chemoface comprises modules that can solve problems related to experimental design, pattern recognition, classification and multivariate calibration. (alternativeto.net)

In today's data-driven world, having the right tools to analyze and present data effectively is more important than ever. (alfasoft.com)
Explore data science, a multi-disciplinary field used to analyze large amounts of data to detect relationships and uncover meaning. (skillsoft.com)
Statistics and Machine Learning Toolbox provides functions and apps to describe, analyze, and model data. (mathworks.com)
Statistically analyze effects and data trends. (mathworks.com)
Visualize and analyze time-to-failure data with and without censoring and monitor and assess the quality of industrial processes. (mathworks.com)
The potentiality of both models to analyze positive data is illustrated by means of two real data sets. (typeset.io)

Estimates of outdoor light at night were derived from imagery data obtained from the U.S. Defense Meteorological Satellite Program assigned to geocoded addresses of study participants. (cdc.gov)
The remaining 71,548 participants were not included in the analysis. (tajpharma.in)

Influence function, breakdown point, regression M-estimation, regression MM-estimation, robust inference, covariance estimation with high breakdown point, application in principal component analysis and linear discriminant analysis. (ethz.ch)

The biological interpretation of the differential analysis results can be performed thanks to functional and gene set enrichment analyses. (biomedcentral.com)
Functional enrichment analysis showed that the DEPRGs had a close relationship with inflammation. (hindawi.com)

Indoor light-at-night estimates were based on questionnaire data regarding sleep habits and use of night time lighting while sleeping. (cdc.gov)

This course addresses this problem by covering techniques and new software that automate the analysis and exploration of large complex data sets. (psu.edu)
EMA covers an entire analysis process including quality control, normalisation, exploratory analysis, unsupervised and supervised classification, functional analysis and censored data exploration. (biomedcentral.com)
As of JMP 12 a case-study based version of this data exploration course is available. (jmp.com)

The increasing number of methodologies and tools currently available to analyse gene expression microarray data can be confusing for non specialist users. (biomedcentral.com)
The most usual and relevant R functions needed to perform these analyses were selected and gathered in the R package EMA (Easy Microarray data Analysis). (biomedcentral.com)

Introduction to time series analysis: examples, goals and mathematical notation. (ethz.ch)
The course starts with an introduction to time series analysis that comprises of examples and goals. (ethz.ch)
Reference based sensitivity analysis for clinical trials with missing data: some theory and examples James Carpenter (London School. (biometricsociety.org)
The course starts with an introduction to time series analysis (examples, goal, mathematical notation). (ethz.ch)

Categorical data classifies an observation as belonging to one or more categories. (alfasoft.com)

Although great progress has been made in diagnosis and treatment of CRC, global data demonstrated that the mortality was still unsatisfactory for CRC patients [ 2 ]. (biomedcentral.com)

Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data. (unc.edu)

This is followed by a description of packages used for post-estimation analysis. (belnet.be)
For the data quality assessment, we recommend to use the arrayQualityMetrics package [ 3 ], which performs a powerful, easy-to-use and comprehensive data quality estimation as well as an automatic html report. (biomedcentral.com)
We discuss estimation of the parameters by maximum likelihood and provide an application to a real data set. (typeset.io)

In this article, the authors proposed two new six-parameter distributions, called the McDonald Burr III and McDonald Burr XII models, which contain some recently published distributions as special models and provide a comprehensive description of some of their mathematical properties with the hope that they will attract wider applications in lifetime analysis. (typeset.io)
We provide a comprehensive description of some of their mathematical properties with the hope that they will attract wider applications in lifetime analysis. (typeset.io)
Topics may include: Multivariate central theorem, and its applications, factor analysis, structural equation models, and latent variable models. (edu.hk)
The data are used for applications in climatology, hydrology, and meteorology. (copernicus.org)
Applications of extreme value theory can be found in other task views: for financial and actuarial analysis in the Finance task view, for environmental analysis in the Environmetrics task view. (cran.csiro.au)

Association test using Copy Number Profile Curves (CONCUR) enhances power in rare copy number variant analysis. (unc.edu)

seNorge_2018 provides a "gridded truth", especially in data-dense regions. (copernicus.org)

A seed-based functional connectivity analysis was conducted focusing on the left subgenual anterior cingulate cortex and left posterior cingulate cortex. (nature.com)
The seed-based analysis showed that discontinuation resulted in an increased functional connectivity between the right dorsolateral prefrontal cortex and the parietal cortex in non-relapsers. (nature.com)
In an exploratory analysis, this functional connectivity predicted relapse risk with a balanced accuracy of 0.86. (nature.com)
Further seed-based analyses, however, failed to reveal differences in functional connectivity between patients and controls, between relapsers and non-relapsers before discontinuation and changes due to discontinuation independent of relapse. (nature.com)

The core graduate course in multivariate analysis and linear models, STAT 5020/5030, are designed to develop advanced data analytic skills and knowledge in linear models. (edu.hk)
Linear mixed effects models will be used to test intervention effects on primary outcomes, with bias-correcting analytic strategy in mediation analyses. (biomedcentral.com)

Target audience: This course is the more theoretical version of 'Applied Multivariate Statistics' (401-0102-00L) and is targeted at students with a math background. (ethz.ch)

In our primary analysis, we used data from all countries to estimate a set of multilevel regression models examining associations of overall lockdown stringency and lockdown duration with relative search volumes for each mental health term. (unav.edu)
Getting to know the mathematical properties of time series, as well as the requirements, descriptive techniques, models and software that are necessary such that the student can independently run an applied time series analysis. (ethz.ch)
More advanced topics in time series analysis like time series regression, state space models and spectral analysis. (ethz.ch)
The basic ideas of robust fitting techniques are explained theoretically and practically using regression models and explorative multivariate analysis. (ethz.ch)
The package climextRemes provides functions for fitting GEV via point process fitting for extremes in climate data, providing return values, return probabilities, and return periods for stationary and nonstationary models. (cran.csiro.au)

Data science differentiates itself from statistics and application programming by using what it needs from a variety of disciplines. (skillsoft.com)
With rapid advances in information technology, the field of Applied Statistics and Data Science has witnessed an explosive growth in the capabilities to generate and collect data. (psu.edu)
Multivariate Statistics deals with joint distributions of several random variables. (ethz.ch)
Statistics, mathematics, and computer science are all necessary for data science. (360digitmg.com)
Multivariate statistics analyzes data on several random variables simultaneously. (ethz.ch)
An alternative course with more emphasis on theory is 401-6102-00L 'Multivariate Statistics' (only every second year). (ethz.ch)

The microenvironments of the low- and high-risk groups were assessed using xCell, the expression of immune checkpoints was determined, and gene set variation analysis (GSVA) was performed. (hindawi.com)

Mathematical re-expression, often nonlinear, of data values. (stackexchange.com)
Based on the experience of biostatisticians of Institut Curie, we propose both a clear analysis strategy and a selection of tools to investigate microarray gene expression data. (biomedcentral.com)
The most usual and relevant existing R functions were discussed, validated and gathered in an easy-to-use R package (EMA) devoted to gene expression microarray analysis. (biomedcentral.com)
After this first step, the main EMA functions can be used for any type of expression data, using a simple data expression matrix as input. (biomedcentral.com)
This investigation used two databases to obtain expression data for PAAD patients. (hindawi.com)
In this work, variations in the gene expression of the zebra mussel ( Dreissena polymorpha ) associated with environmental stresses, such as the presence of pollutants, are investigated by means of chemometric analysis of qRT-PCR data. (biomedcentral.com)

MOST: Multivariate outcome score test (C). . 1.0 ed., 2013. (unc.edu)

We run exploratory and confirmatory factor analyses, and structural equation modelling, testing for invariance across countries and sexes. (unav.edu)

These data support the potential role of T-DXd as a tumor-agnostic therapy for patients with HER2-expressing solid tumors. (bvsalud.org)

Despite the heterogeneity of citizens' measurements, our results show that the two data sources are comparable with each other, though with some limitations. (copernicus.org)
The results also show how to improve the accuracy of citizens' data. (copernicus.org)

Generalized linear mixed effects modeling will be employed for the analysis of intervention effects on secondary outcomes. (biomedcentral.com)

What is the most appropriate transformation method for performing analyses on species composition data? (stackexchange.com)
Regulatory network analyses allowed the comparison of this response between different species and taxa. (biomedcentral.com)
Our analyses found a general conservation of regulation genes and of their interactions among the different considered species, and may serve as a guide to extrapolate regulatory data from model species to lesser-known environmentally (or medically) relevant species. (biomedcentral.com)
Novel microbial species in the rumen have recently been identified using metagenome-assembled genomes generated from whole metagenomic sequence data of microbial DNA from rumen samples 8 , 34 , but how their abundances are shaped by host genomics is still unknown. (nature.com)

Determine the optimal number of clusters for the data using different evaluation criteria. (mathworks.com)
Then, exploratory approaches are classically used to find clusters of genes (or samples) with similar profiles. (biomedcentral.com)

A general framework for association tests with multivariate traits in large-scale genomics studies. (unc.edu)

An unprecedented amount of rainfall data is available nowadays, such as ensemble model output, weather radar estimates, and in situ observations from networks of both traditional and opportunistic sensors. (copernicus.org)
The objective of our study is precipitation reconstruction through the combination of numerical model outputs with observations from multiple data sources. (copernicus.org)

The teaching materials are an electronic copy of the content used in SAS Education's corporate JMP courses, including chapter-by-chapter instructor's notes, PowerPoint slides, data sets, and practice exercises. (jmp.com)
He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence and Business Management. (360digitmg.com)

5. Rgrs - R for french sociologists - Some simple functions to make R usage easier for french social sciences students and researchers (data manipulation, cross-tabulation, import/export from some specific softwares. (r-project.org)
Introduction to R: data import, basic data manipulation, and data visualisation. (ethz.ch)

In this article, the authors provide a comprehensive treatment of general mathematical properties of Zografos-Balakrishnan-G distributions and provide an application to a real data set. (typeset.io)

On the other hand, multivariate Cox analysis showed higher RI-SUV and lower forced vital capacity to be independent predictors of shorter overall survival. (snmjournals.org)

Anatomy2

Diseases43

Chemicals and Drugs21

Analytical, Diagnostic and Therapeutic Techniques and Equipment108

Psychiatry and Psychology15

Phenomena and Processes27

Disciplines and Occupations4

Anthropology, Education, Sociology and Social Phenomena10

Technology, Industry, Agriculture1

Humanities1

Information Science15

Named Groups9

Health Care89

Geographicals15

Regression analyses2

Methods23

Visualization6

ANOVA3

Linear regression models1

Prognostic4

High-dimensional data2

Progression-free sur2

Longitudinal3

Algorithms4

Correlation1

Mining2

Differentially2

Principal componen1

Statistical8

Observational3

Hypothesis1

Bayesian2

Variance1

Calibration1

Analyze6

Participants2

Covariance1

Enrichment2

Questionnaire1

Exploration3

Microarray data2

Examples4

Categorical1

Mortality1

Survival data1

Estimation3

Applications5

Curves1

20181

Functional4

Analytic2

Theoretical1

Models5

Statistics6

Gene set1

Expression6

Outcome1

Structural1

Tumor1

Results2

Secondary1

Species4

Clusters2

Framework1

Model2

Practice2

Manipulation2

Mathematical1

Overall survival1