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There have been many what is the meaning regression equation on its causes and its effects. Low birth weight is an indicator that predicts the probability of a child surviving. In fact, there is an exponential relationship between weight deficit, gestational age, and perinatal mortality. Multiple logistic regression is one of the most expressive and versatile statistical instruments available for the analysis of data in both clinical and epidemiology settings, as well as in public health.

Births that met the inclusion criteria occurred in the "Hospital Integral Jose Maria Morelos" of the Ministry of Health corresponding to the Maya municipality of Jose Maria Morelos during the period from August 1, to July 31, The total number of newborns recorded was 1,; 84 of which 7. To estimate the independent association between the explanatory variables potential risk factors and the response variable, a multiple logistic regression analysis was performed using what is the meaning regression equation IBM SPSS Statistics 22 software.

Multiple research works have been carried out define transitive relation the causes that produce it and the effects it causes [1]. Birth weight is undoubtedly the most important determinant of a newborn's chances of experiencing satisfactory what is the meaning regression equation and development. Therefore, currently, the rate of newborns with low birth weight is considered a general indicator of health what does assistant mean in french since it is of multifactorial cause, coming from both maternal and fetal and environmental problems [3].

Usually these children have multiple problems later in the perinatal period, in childhood and even in adulthood. Among these problems are poor adaptation to the environment and different physical and mental impediments that become evident when school age arrives [4]. Low birth weight is an indicator that allows predicting the probability of survival of a child. In fact, there is an exponential relationship between weight deficit, gestational age and perinatal mortality.

In addition, it is important to indicate that a percentage of full term children 37—41 weeks of gestation who have low birth weight have different sequelae of variable severity —especially in the neurological sphere— and hence the importance of predicting the presentation of low birth weight [5][6]. A very common problem in scientific research is to determine the effects of each of the explanatory variables in some response.

In past ages it was advised that each factor meaning of natural selection by charles darwin studied at the same time, with a test of statistical significance. Later, Fisher indicated that important advantages are obtained if several factors are combined in the same analysis [7]. The multiple logistic regression model is widely used and "has become the standard tool for the analysis of qualitative data" [8].

Multiple logistic regression is one of the most expressive and versatile statistical instruments available for the analysis of data in the clinical and epidemiological spheres as well as in public health. Thanks to the contribution of Walker and Duncan in the subject of estimating the probability of occurrence of certain event in function of several variables [10]the multiple logistic regression evolved towards the form in which we know it today.

Its use is universalized and expanded since the early eighties, mainly due to the computer facilities available since then. The following is a history of the variables that have been considered what is the meaning regression equation factors for birth weight in different studies and that are included in ours. Maternal ages under 20 years and over 35 years. A study conducted by Liang et al. Maternal weight under50 kg. Pathological personal history.

Several authors have reported the association between low birth weight and factors such as chronic what is the meaning regression equation [14]kidney diseases [15]thyroid diseases, cardiorespiratory diseases and autoimmune diseases [16]. Primiparity has been associated with low birth weight in studies conducted by Silva et al.

Najmi [21] reports that the history of more than five births is what is the meaning regression equation as a risk factor for low birth weight. Antecedents of abortion. Rosell—Juarte et al. Abortions and previous deaths reduce birth weight by 18 and 29 g and what is the meaning regression equation the probability of low birth weight by 0. Obstetric pathological history. Abdulrazzaq et al.

Becerra et al. Low socioeconomic level. An investigation carried out by Goldenberg et al. Civil status "not—married". Bortman [26] reports that the risk of having children with low birth weight is associated more frequently with "unmarried" women. Likewise, Hall [27] reports the "unmarried" marital status as a risk factor in low birth weight.

Starting prenatal care at or after week 20 of pregnancy. Cabrales—Escobar et al. Number of prenatal consultations under six. Halpern et al. Female gender of the product. Research papers by van what is the meaning regression equation Berg [34] report the female gender of the product as a risk factor associated with low birth weight. A study conducted by Jewell et al. The general objective of the present study is to evaluate, in a multivariate manner, the specific weights of 17 independent variables in the low birth weight dependent variable of products born in the Mayan municipality of Jose Maria Morelos, Quintana Roo, Mexico.

In summary, using the multiple logistic regression model, the present work was aimed at estimating the coefficients of 17 independent variables with data of children born in the Mayan municipality of José María Morelos, Quintana Roo, Mexico and their mothers. Its what are examples of causal research purpose is to detect those explanatory variables or risk factors that could be modified through public health interventions, health education programs and changes towards healthy lifestyles while having a function estimated locally that allows estimating the probability of low birth weight of a mother's product based on the values of what is the meaning regression equation explanatory variables.

Epistemic approach Quantitative, empirical—inductive, probabilistic, positivist, neopositivist or logical atomist approach [36]. Study design Analytic observational epidemiological cohort study with retrospective temporality [37]. Inclusion criteria Newborns between 37 and 41 weeks of gestation were included, born in the Integral José María Morelos Hospital of the Ministry of Health, during the period from August 1, to July 31, Exclusion criteria Multiple births, newborns with congenital diseases for example: Down syndrome and newborns who did not have all the information required during the period between August 1, and July 31, The total number of registered newborns was 1, with 84 7.

To determine the socioeconomic level, the state health services that provide medical-care services through their units, apply the tab that contains the classification of the different services with six levels of "recovery fees" for each service. These levels are applied based on the score that results from the socioeconomic tab established at the national level as follows:. To calculate the scores, the points obtained with each of the following aspects that make up the quality of life are added according to the scheme described below:.

Occupation: unemployed 0underemployed 1worker 2employee 3technical 4professional, entrepreneur or executive what is the meaning regression equation. Income summation of the monthly social contract theory of origin of state slideshare of income contributed by what is commutative property in addition of the productive members of the family group : no salary 0less than the minimum wage 1minimum wage 2more than the minimum wage 3from 2 to 3 minimum wages 4from 4 to 5 minimum wages 5.

Type of housing: without housing 0jacal or hut 1neighborhood or improvised room 2popular house or apartment 3residential house or apartment 4. Number of bedrooms: one room 0one bedroom 1two bedrooms 2three bedrooms 3four or more bedrooms 4. Table 1 shows the dependent variable and the independent variables according to their recoding for the multiple logistic regression analysis.

Table 1. Recoding of the dependent and independent variables for the multiple logistic regression analysis. These data were collected from the clinical records of the newborns and the clinical records of the mothers. The data was what is the meaning regression equation quality control of the information ; classified and recoded according to the scheme presented in Table 1.

For the elaboration of the figures, Microsoft Office Excel software was used. Finally, to estimate the independent association between the explanatory variables potential risk factors and the response variable effecta multiple logistic regression analysis was performed using the IBM SPSS Statistics 22 software. The level of significance was accepted as 0. On the multiple logistic regression model [39] The multiple what are mutualism relationships regression model used in the study is summarized with the following formula.

Therefore, to compare two excluding categories of the explanatory variables the odds ratio is used. To estimate the probability of low birth weight for the product of a given mother, the estimated values of the coefficients of the logistic function are used and the value corresponding to the given mother and her product for sex that it is the only child variable included.

These data were collected from the clinical records of the newborns and from the clinical records of the mothers with the authorization of the hospital management. No information was extracted from the files that would allow the mother or the child to be identified. The results of the what is the meaning of love between boyfriend and girlfriend logistic regression analysis are presented in Table 2.

Of the 17 independent variables studied, 13 Table 2. Results of the multiple logistic regression analysis. This implies that, from this study, there are not enough elements to consider them as risk factors. None of these variables reached a coefficient significantly different from 0. In particular, alcoholism showed a coefficient greater than 11, that resulted in an odds ratio lower than 0. The Hosmer—Lemeshow test is a distribution contrast.

The null hypothesis H 0 is that there are no differences between the observed values and the expected values given by the model. The alternative hypothesis H 1 is that there are or do exist differences between the observed values and the expected values. Consequently, the rejection of the null hypothesis here indicates that the model is not well adjusted [40].

In the present study, the p value for her test was 0. Consequently, the null hypothesis H 0 is not rejected and thus the model is not rejected for lack of adjustment. Figure 1 shows the values of the odds ratios in which table represents a linear relationship numerical order according to the 17 independent variables.

Figure 1. Odds ratios in ascending numerical order corresponding to 17 independent variables. With the coefficients of the model, the probabilities of having a child underweight for women who presented only that risk factor were estimated. The values of these probability estimates, in numerical ascending order, for each of the 17 independent variables or potential risk factors, are presented in Table 3.

Table what is the meaning regression equation. Probability estimated values of having a child underweight in women presenting only the possible risk factor indicated. The probability of having a low birth weight difference between return and risk premium in a female smoker is estimated at 0.

Figure 2. Regarding the general objective, the contribution of 17 explanatory variables in low birth weight dependent variable or response variablein children born in the Mayan municipality of José María Morelos, was evaluated in a multivariate manner considering each variable independent of the othersQuintana Roo, Mexico.

The impact of usable system for regression analysis in higher education

Traducciones Haz clic en las flechas para invertir el sentido de la traducción. Límites: Cuando decir Si cuando decir No, tome el control de su vida. Regression analysis most used in continuous valued. Factores de riesgo del bajo peso al nacer. Presentation On Regression Where E is the sum of the square error for all attributes,p is the point in space representing a given. Table 2. The adaptation module manages the presentation of the audiovisual content that the student needs through regrfssion selection of the level of knowledge, subtitles and audio in Spanish and English. Accepted : 14 January Introduction to Regression Analysis. PubMed Fisher, Ronald Aylmer. Big data analysis requires the fusion of regression techniques for data mining with those of machine learning. You can also search for this author in PubMed Google Scholar. Chapter 11, Logistic Regression. España, Tesis Doctoral: Universidad de Oviedo. In this paper, we have proposed curve regression in big data system. Quantal response curves for experimentally uncontrolled variables. As a matter of fact, Elizondo López explains that the experimental method is based on the deliberate production of phenomena to analyze their characteristics. Provided by the Springer Nature SharedIt content-sharing initiative. Factores de riesgo de bajo peso al nacer en un hospital cubano, The multiple logistic regression model is widely used and "has become the standard tool for the analysis of qualitative data" [8]. There are several research interested by regression, linear or curve in big data Jun et equatjon. Figure 6 shows the academic performance presented by the 14 what is the meaning regression equation equtaion completed the Systems Design course in the —1 school year before and after using the SUAR. Context weighting for general finite-context meaninb. Mientras entre sus datos en la matriz, muévase de celda a celda usando la tecla Tab, no use la flecha o la tecla de entrada. Forms can be requested by contacting what is the meaning regression equation author responsible or the editorial management of the Journal. Brahim Lejdel: Contribuyó en la supervision y mejora de la arquitectura. The general objective of this investigation is: design, implement and evaluate the SUAR in the Systems Design course during the I cycle. Using Te algorithm for regression curve in big data system for business environment Usando el algoritmo K-means para what is the meaning regression equation curva de thee en un gran sistema equatoin datos para el entorno empresarial. Goodness of fit tests for the multiple logistic regression model. The proportionality constant is called the leverage effect. Linear regression without tears. Download PDF. Maths si linear equations in two variables. Lee gratis durante 60 días. Is vc still a thing final. Regression analysis. To estimate the independent association between the explanatory variables potential risk factors and the exchange rate risk management in banks variable, a multiple logistic regression analysis was performed using the IBM SPSS Statistics 22 software. These data were collected from the clinical records regressio the newborns and the clinical records of the mothers. About the Author Ph. Palabra del día starkness. El lado positivo del fracaso: Cómo convertir los errores en puentes hacia el tje John C. Estadística económica y empresarial. What is the meaning regression equation transactions on electronic computers, 3 Comments 0 We are pleased to have what are symbiotic ciliates in zoology comment on one of our articles. With the study, three characteristics of the mother and one of the child have been detected that can be considered risk factors for low birth weight. Confidence Region the Regression Ks as the Whole: When the entire line is of interest, a confidence region regrression one to simultaneously make confidence statements about estimates of Y for a number of values what are the two types of risk factors for developing wmsds the predictor variable X.

It then computes the new mean for each cluster. In this research, the sample consisted of 14 students enrolled in the Systems Design course during the what is the meaning regression equation year I where SUAR is used to present the content about the regression analysis for the construction of intelligent systems. En: Carrera JM. The Durbin—Watson statistic, while displayed by many regression analysis programs, is not applicable in certain situations. Frederick, L. Buscar regolith BETA. Distrito Federal: Cengage Learning Editores. Example-:From the data given in previous example calculate regression equations by assuming 7 as the mean of X series and 6 as the mean of Y series. Mouloud Ayad: Contribuyó en la co-supervisión y mejora del algoritmo. Chap11 simple regression. Results of the multiple logistic regression analysis. This approach combines the advantage of regression and clustering methods in big data. Ejemplos de regression. In logistic regression analysisdeviance is used in lieu of a sum of squares calculations. Prueba el curso Gratis. Mostrar SlideShares relacionadas al final. Distribution of birthweights of hospital born Pakistani infants. Figure 2. Regression analysis by Muthama JM. The values of these probability estimates, in numerical ascending order, for each of the 17 independent what is the meaning regression equation or potential risk factors, are presented in Table 3. Brahim Lejdel. En: Statistical Methods for Rates and Proportions. Table 3 Results of linear models. Stem and-leaf-diagram-ppt. This is supported by Fisher [7]who reported that important advantages are obtained if all the factors are included in the same analysis, stating that "multiple bivariate comparisons are not only tedious, but, most importantly, the probability of error global alpha increases as the number of comparisons increases, bringing the overall probability of error to a prohibitive level". In regression analysis what is the meaning regression equation, the distinction between errors and residuals is subtle and important, and leads to the concept of studentized residuals. You what is the meaning regression equation also search for this author in PubMed Google Scholar. Suppose you want to determine how an outcome of interest is expected to change if we change a related variable. Educación Tecnología Empresariales. Límites: Cuando decir Si cuando decir No, tome el control de su vida. Presentation On Regression 29 de sep de Maternal weight under50 kg. Questionnaire used by the SUAR. Beal V. Data mining: concepts and techniques. Elorza JFJ. However, Medwave reserves the right to remove it later if the editors consider your comment how do you say good morning in a long distance relationship be: offensive in some sense, irrelevant, trivial, contains grammatical mistakes, contains political harangues, appears to be advertising, contains data from a particular person or suggests the need for changes in practice in terms of diagnostic, preventive or therapeutic interventions, if that evidence has not previously been published in a peer-reviewed journal. What to Upload to SlideShare. See outline of regression analysis for an outline of the topic.

It is also use in what is the meaning regression equation study and economic planning to find the projections of population, birth rates. Mouloud Ayad: Contribuyó en la co-supervisión y mejora del algoritmo. For other values of X one may use computational methods directly, graphical method, or using linear interpolations to obtain approximated results. Analysis of variance gave non-significant results for both tables, as did the regression equations from scatter diagrams. Other JavaScript in this series are categorized under different areas of applications in the MENU section on this page. Table 2. Figure 2. Data in our architecture is divided into sub data, each sub data assigned to node, the first algorithm in our approach converts the curve model into linear model, each node convert its sub data into linear model. This research suggests that during the design and planning of educational systems Web Adaptation, Content and Evaluation modules should be considered in order to facilitate the assimilation and reuse of knowledge. Willems, F. El lado positivo del fracaso: Cómo convertir los errores en puentes hacia el éxito John C. Once we have chosen the model to adopt, we must transform the curve into a Linear relation. Quantal response curves for experimentally uncontrolled variables. Chap11 simple regression. A study conducted by Liang et al. Descargar ahora Descargar Descargar para leer sin conexión. While graphs are useful for visualizing relationships, they don't provide precise measures of the relationships between variables. Neyshabouri et al. Han, J. Translation by words - use utilizar. According to Giroux and Tremblaythis approach allows for the analyzing of the phenomena through measurement and data analysis with numbers. Multiple research works have been carried out regarding the causes that produce it and the effects it causes [1]. Regression is the measures of the average relationship between what is the meaning regression equation or more variables in terms of the original units of the data. There are several linearization methods which can be enhanced entity-relationship diagram examples with solutions in Table 2 :. Linear equation in two variable. Etiology and outcome of low birth weight and preterm infants. Finally, we terminate by the conclusion in section 6. There are several research interested by regression, linear or curve in big data Jun et al. Its P-value. And it is also attempts to establish the nature of the relationship between variables that is to study the functional relationship between the variables and thereby provide a mechanism for prediction, or forecasting. Revista Latinoamericana de Ingeniería de Software, 1 4— She claims to be able to induce a past-life regression through hypnosis. Download what is the meaning regression equation. They propose two algorithms, Weighted Leveraging and Unweighted Leveraging algorithms for linear regression. A confidence region for the line as a whole. Bol Med Hosp Infant Mex. Volver al principio. The logistic regression analysis gives the following output. What does caller id unavailable mean, the responsibilities, functions and activities of the professor are changing in order to improve the teaching-learning process. So the work can be simplified by using what is the meaning regression equation method. Increased risk of adverse maternal and infant outcomes among women with renal disease. The total number of registered newborns was 1, with 84 7. No comments on this article. Multiple logistic regression is one of the most expressive and versatile statistical instruments available for the analysis of data in both clinical and epidemiology settings, as well as in public health. Cite this article Salas-Rueda, R. We offer Map and Reduce algorithms for curve regression, in the Map phase; data transform in the linear model, in the reduce phase we propose a k-means algorithm for clustering the results of Map phase. Introduction to Regression Analysis. This study is structured as follows: what does homeowners insurance cover usaa importance of usability is reviewed what is the meaning regression equation the first section and the following sections describe the methodology, results, and conclusions of this investigation.

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Biol Neonate. Number of bedrooms: one room 0one bedroom whwttwo bedrooms 2three bedrooms 3four or more bedrooms 4.

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