Fields of Effective Application of Statistical Methods of Processing the Results of Repeated Measurements

2016 ◽  
Vol 59 (5) ◽  
pp. 476-484 ◽  
Author(s):  
G. N. Solopchenko
Keyword(s):  
Statistical Methods ◽  
Repeated Measurements ◽  
Effective Application

scholarly journals FORMATION OF PROCEDURES FOR IMPLEMENTATION OF THE CONTROL ALGORITHM OF EXPERT-STATISTICAL METHODS OF EVALUATION OF OPERATIONAL POSSIBILITIES OF TERRITORIAL DYSIDES

2020 ◽  
Vol 3 (156) ◽  
pp. 180-187
Author(s):  
O. Burmenko ◽  
O. Soshinskiy ◽  
R. Shevchenko
Keyword(s):  
Statistical Methods ◽  
Control Algorithm ◽  
Emergency Situation ◽  
Statistical Technique ◽  
Emergency Rescue ◽  
Effective Application ◽  
Operational Capabilities ◽  
Functional Efficiency ◽  
Natural Man ◽  
Operational Potential

The problem of formation of procedures of expert-statistical technique of estimation of operational possibili-ties of territorial divisions of the SES of Ukraine was considered in the work. Its relevance is determined by the ever-increasing level of danger of natural, man-made, social and military nature, which requires constant com-prehensive measures aimed at improving the functional efficiency of the Civil Service of Ukraine for Emergencies. Therefore, the purpose of the study was to form a set of procedures for the implementation of the control al-gorithm of expert-statistical methods for assessing the operational capabilities of emergency rescue units of terri-torial subordination. To ensure this goal, the following interrelated tasks were solved: generalized, classified and defined the se-quence and scheme of application of procedures for implementing the control algorithm of expert-statistical methodology; developed recommendations for the use of certain groups of procedures with the aim of the possibil-ity of effective application of expert-statistical methods for assessing operational potential; Preliminary calcula-tions were made to optimize the number of personnel of emergency rescue units of the territorial subordination of the SES of Ukraine. The result of the study was the solution of the problem, namely the formation of a logical sequence of appli-cation of the control algorithm of expert-statistical methods for assessing the operational potential of the territo-rial rescue units of the SES of Ukraine. The classification, the sequence and the scheme of application of the I-III group of procedures of realization of the control algorithm of the expert-statistical technique of an estimation of operational possibilities of emer-gency rescue divisions are carried out. Developed practical recommendations for the use of procedures of different groups, which in combination with previously obtained results suggests the possibility of effective application of expert-statistical methods for assessing operational capacity and optimization measures to increase the ability of rescue units to deal with emergencies of natural and man-made nature. Preliminary results of calculations on the optimization of the number of personnel of emergency rescue units allowed, justifiably, to recommend a gradual increase in the number of personnel, taking into account the region-al nature of natural and man-made hazards. Keywords: emergency situation, operational potential, operational capability, expert-statistical methodolo-gy, procedure.

Regulatory and technical support of quality management tools and methods

2021 ◽  
pp. 37-41
Author(s):  
T.P. Scharaschkina ◽  
◽  
T.V. Glukhova ◽  
Keyword(s):  
Quality Management ◽  
Statistical Methods ◽  
Iso 9000 ◽  
National Standards ◽  
Specific Production ◽  
Management Tools ◽  
Effective Application ◽  
Quality Of Products ◽  
Tools And Methods

Improving the quality of products and processes in enterprises and organizations of various fields of activity is provided by various methods of quality management. A special place in all the variety of tools and methods of quality management is occupied by statistical methods. Various international and national standards ensure the effective application of quality management tools and methods. The requirements and recommendations for the application of these methods are contained both in the ISO 9000 MS and in numerous standards in the field of statistical methods. Since a large number of such standards have been developed to date, it is necessary to systematize them. Based on this, all standards in the field of statistical methods can be classified according to the type of activity in which they are applicable. Such a systematization of standards in the field of statistical methods will make it possible to use them more effectively for solving specific production tasks.

scholarly journals A Critical Review of Statistical Methods for Twin Studies Relating Exposure to Early Life Health Conditions

2021 ◽  
Vol 18 (23) ◽  
pp. 12696
Author(s):  
Salvatore Fasola ◽  
Laura Montalbano ◽  
Giovanna Cilluffo ◽  
Benjamin Cuer ◽  
Velia Malizia ◽  
...  
Keyword(s):  
Statistical Methods ◽  
Early Life ◽  
Linear Models ◽  
Twin Studies ◽  
Repeated Measurements ◽  
Health Conditions ◽  
Binary Outcomes ◽  
Disease Etiology ◽  
Conditional Models

When investigating disease etiology, twin data provide a unique opportunity to control for confounding and disentangling the role of the human genome and exposome. However, using appropriate statistical methods is fundamental for exploiting such potential. We aimed to critically review the statistical approaches used in twin studies relating exposure to early life health conditions. We searched PubMed, Scopus, Web of Science, and Embase (2011–2021). We identified 32 studies and nine classes of methods. Five were conditional approaches (within-pair analyses): additive-common-erratic (ACE) models (11 studies), generalized linear mixed models (GLMMs, five studies), generalized linear models (GLMs) with fixed pair effects (four studies), within-pair difference analyses (three studies), and paired-sample tests (two studies). Four were marginal approaches (unpaired analyses): generalized estimating equations (GEE) models (five studies), GLMs with cluster-robust standard errors (six studies), GLMs (one study), and independent-sample tests (one study). ACE models are suitable for assessing heritability but require adaptations for binary outcomes and repeated measurements. Conditional models can adjust by design for shared confounders, and GLMMs are suitable for repeated measurements. Marginal models may lead to invalid inference. By highlighting the strengths and limitations of commonly applied statistical methods, this review may be helpful for researchers using twin designs.

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