Pub Date : 2020-03-09DOI: 10.22237/jmasm/1556669760
Rosilei S. Novak, J. Marques
The sample size dichotomized was related to the measure of sampling adequacy, considering the explanations provided by factors and commonalities. Monte Carlo simulation generated multivariate normal samples and varying the number of observations, the factor analysis was applied in each sample dichotomized. Results were modeled by polynomial regression based on the sample sizing.
{"title":"A Study Verifying the Dimensioning of a Multivariate Dichotomized Sample in Exploratory Factor Analysis","authors":"Rosilei S. Novak, J. Marques","doi":"10.22237/jmasm/1556669760","DOIUrl":"https://doi.org/10.22237/jmasm/1556669760","url":null,"abstract":"The sample size dichotomized was related to the measure of sampling adequacy, considering the explanations provided by factors and commonalities. Monte Carlo simulation generated multivariate normal samples and varying the number of observations, the factor analysis was applied in each sample dichotomized. Results were modeled by polynomial regression based on the sample sizing.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":"10"},"PeriodicalIF":0.0,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48431666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-26DOI: 10.22237/jmasm/1582727606
K. Sadik, R. Anisa, Euis Aqmaliyah
The most commonly used method of small area estimation (SAE) is the empirical best linear unbiased prediction method based on a linear mixed model. However, it is not appropriate in the case of the zero-inflated target variable with a mixture of zeros and continuously distributed positive values. Therefore, various model-based SAE methods for zero-inflated data are developed, such as the Frequentist approach and the Bayesian approach. Both approaches are compared with the survey regression (SR) method which ignores the presence of zero-inflation in the data. The results show that the two SAE approaches for zero-inflated data are capable to yield more accurate area mean estimates than the SR method.
{"title":"Small Area Estimation on Zero-Inflated Data Using Frequentist and Bayesian Approach","authors":"K. Sadik, R. Anisa, Euis Aqmaliyah","doi":"10.22237/jmasm/1582727606","DOIUrl":"https://doi.org/10.22237/jmasm/1582727606","url":null,"abstract":"The most commonly used method of small area estimation (SAE) is the empirical best linear unbiased prediction method based on a linear mixed model. However, it is not appropriate in the case of the zero-inflated target variable with a mixture of zeros and continuously distributed positive values. Therefore, various model-based SAE methods for zero-inflated data are developed, such as the Frequentist approach and the Bayesian approach. Both approaches are compared with the survey regression (SR) method which ignores the presence of zero-inflation in the data. The results show that the two SAE approaches for zero-inflated data are capable to yield more accurate area mean estimates than the SR method.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"2-22"},"PeriodicalIF":0.0,"publicationDate":"2020-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44450811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-25DOI: 10.22237/jmasm/1556670360
Michael R. Harwell
Two common outcomes of Monte Carlo studies in statistics are bias and Type I error rate. Several versions of bias statistics exist but all employ arbitrary cutoffs for deciding when bias is ignorable or non-ignorable. This article argues Type I error rates should be used when assessing bias.
{"title":"The Importance of Type I Error Rates When Studying Bias in Monte Carlo Studies in Statistics","authors":"Michael R. Harwell","doi":"10.22237/jmasm/1556670360","DOIUrl":"https://doi.org/10.22237/jmasm/1556670360","url":null,"abstract":"Two common outcomes of Monte Carlo studies in statistics are bias and Type I error rate. Several versions of bias statistics exist but all employ arbitrary cutoffs for deciding when bias is ignorable or non-ignorable. This article argues Type I error rates should be used when assessing bias.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"2-11"},"PeriodicalIF":0.0,"publicationDate":"2020-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45423868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-25DOI: 10.22237/jmasm/1556669220
Diego Nascimento, C. Xavier, I. Felipe, F. L. Neto
The Dynamic Conditional Correlation GARCH (DCC-GARCH) mutation model is considered using a Monte Carlo approach via Markov chains in the estimation of parameters, time-dependence variation is visually demonstrated. Fifteen indices were analyzed from the main financial markets of developed and developing countries from different continents. The performances of indices are similar, with a joint evolution. Most index returns, especially SPX and NDX, evolve over time with a higher positive correlation.
{"title":"Dynamic Conditional Correlation GARCH: A Multivariate Time Series Novel using a Bayesian Approach","authors":"Diego Nascimento, C. Xavier, I. Felipe, F. L. Neto","doi":"10.22237/jmasm/1556669220","DOIUrl":"https://doi.org/10.22237/jmasm/1556669220","url":null,"abstract":"The Dynamic Conditional Correlation GARCH (DCC-GARCH) mutation model is considered using a Monte Carlo approach via Markov chains in the estimation of parameters, time-dependence variation is visually demonstrated. Fifteen indices were analyzed from the main financial markets of developed and developing countries from different continents. The performances of indices are similar, with a joint evolution. Most index returns, especially SPX and NDX, evolve over time with a higher positive correlation.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44660375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-20DOI: 10.22237/jmasm/1556669880
R. Wilcox
A fundamental way of characterizing how two independent compares compare is in terms of the probability that a randomly sampled observation from the first group is less than a randomly sampled observation from the second group. The paper suggests a bivariate analog and investigates methods for computing confidence intervals. An interaction for a two-by-two design is investigated as well.
{"title":"Bivariate Analogs of the Wilcoxon–Mann–Whitney Test and the Patel–Hoel Method for Interactions","authors":"R. Wilcox","doi":"10.22237/jmasm/1556669880","DOIUrl":"https://doi.org/10.22237/jmasm/1556669880","url":null,"abstract":"A fundamental way of characterizing how two independent compares compare is in terms of the probability that a randomly sampled observation from the first group is less than a randomly sampled observation from the second group. The paper suggests a bivariate analog and investigates methods for computing confidence intervals. An interaction for a two-by-two design is investigated as well.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"2-14"},"PeriodicalIF":0.0,"publicationDate":"2020-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43464780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-20DOI: 10.22237/jmasm/1556670120
R. Wilcox
When dealing with the association between some random variable and two covariates, extensive experience with smoothers indicates that often a linear model poorly reflects the nature of the association. A simple approach via quantile grids that reflects the nature of the association is given. The two main goals are to illustrate this approach can make a practical difference, and to describe R functions for applying it. Included are comments on dealing with more than two covariates.
{"title":"Regression When There Are Two Covariates: Some Practical Reasons for Considering Quantile Grids","authors":"R. Wilcox","doi":"10.22237/jmasm/1556670120","DOIUrl":"https://doi.org/10.22237/jmasm/1556670120","url":null,"abstract":"When dealing with the association between some random variable and two covariates, extensive experience with smoothers indicates that often a linear model poorly reflects the nature of the association. A simple approach via quantile grids that reflects the nature of the association is given. The two main goals are to illustrate this approach can make a practical difference, and to describe R functions for applying it. Included are comments on dealing with more than two covariates.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"2-19"},"PeriodicalIF":0.0,"publicationDate":"2020-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44942063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-13DOI: 10.22237/jmasm/1556668800
A. Shirvani, M. Fathizadeh
The Poisson distribution is applied as an appropriate standard model to analyze count data. Because this distribution is known as a discrete distribution, representation of accurate confidence intervals for its distribution mean is extremely difficult. Approximate confidence intervals were presented for the Poisson distribution mean. The purpose of this study is to simultaneously compare several confidence intervals presented, according to the average coverage probability and accurate confidence coefficient and the average confidence interval length criteria.
{"title":"Assessing the Accuracy of Approximate Confidence Intervals Proposed for the Mean of Poisson Distribution","authors":"A. Shirvani, M. Fathizadeh","doi":"10.22237/jmasm/1556668800","DOIUrl":"https://doi.org/10.22237/jmasm/1556668800","url":null,"abstract":"The Poisson distribution is applied as an appropriate standard model to analyze count data. Because this distribution is known as a discrete distribution, representation of accurate confidence intervals for its distribution mean is extremely difficult. Approximate confidence intervals were presented for the Poisson distribution mean. The purpose of this study is to simultaneously compare several confidence intervals presented, according to the average coverage probability and accurate confidence coefficient and the average confidence interval length criteria.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":"2-13"},"PeriodicalIF":0.0,"publicationDate":"2020-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49185851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-13DOI: 10.22237/jmasm/1556668980
S. Lipovetsky, Vladimir Manewitsch
The factor analytic triad method of one-factor solution gives the explicit analytical form for a common latent factor built by three variables. The current work considers analytical presentation of a general latent factor constructed in a closed-form solution for multivariate case. The results can be supportive to theoretical description and practical application of latent variable modeling, especially for big data because the analytical closed-form solution is not prone to data dimensionality.
{"title":"Analytical Closed-Form Solution for General Factor with Many Variables","authors":"S. Lipovetsky, Vladimir Manewitsch","doi":"10.22237/jmasm/1556668980","DOIUrl":"https://doi.org/10.22237/jmasm/1556668980","url":null,"abstract":"The factor analytic triad method of one-factor solution gives the explicit analytical form for a common latent factor built by three variables. The current work considers analytical presentation of a general latent factor constructed in a closed-form solution for multivariate case. The results can be supportive to theoretical description and practical application of latent variable modeling, especially for big data because the analytical closed-form solution is not prone to data dimensionality.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"2-23"},"PeriodicalIF":0.0,"publicationDate":"2020-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42680596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-13DOI: 10.22237/jmasm/1556669100
S. Lipovetsky
A regression model built by a dataset could sometimes demonstrate a low quality of fit and poor predictions of individual observations. However, using the frequencies of possible combinations of the predictors and the outcome, the same models with the same parameters may yield a high quality of fit and precise predictions for the frequencies of the outcome occurrence. Linear and logistical regressions are used to make an explicit exposition of the results of regression modeling and prediction.
{"title":"Regression Modeling and Prediction by Individual Observations versus Frequency","authors":"S. Lipovetsky","doi":"10.22237/jmasm/1556669100","DOIUrl":"https://doi.org/10.22237/jmasm/1556669100","url":null,"abstract":"A regression model built by a dataset could sometimes demonstrate a low quality of fit and poor predictions of individual observations. However, using the frequencies of possible combinations of the predictors and the outcome, the same models with the same parameters may yield a high quality of fit and precise predictions for the frequencies of the outcome occurrence. Linear and logistical regressions are used to make an explicit exposition of the results of regression modeling and prediction.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2020-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47123487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-01Epub Date: 2019-10-13DOI: 10.1111/apa.15002
Tita Mensah, Anders Hjern, Kickan Håkanson, Pia Johansson, Ann Kristine Jonsson, Titti Mattsson, Sofia Tranaeus, Bo Vinnerljung, Pernilla Östlund, Gunilla Klingberg
Aim: Decades of research confirm that children and adolescents in out-of-home care (foster family, residential care) have much greater health care needs than their peers. A systematic literature review was conducted to evaluate organisational health care models for this vulnerable group.
Methods: A systematic literature search was undertaken of the following databases: Academic Search Elite, CENTRAL, Cochrane Database of Systematic Reviews, Cinahl, DARE, ERIC, HTA, PsycInfo, Psychology and Behavioural Sciences Collection, PubMed, SocIndex. Randomised and non-randomised controlled trials were to be included. Two pairs of reviewers independently assessed abstracts of the identified published papers. Abstracts meeting the inclusion criteria were ordered in full text. Each article was reviewed independently, by pairs of reviewers. A joint assessment was made based on the inclusion criteria and relevance. Cases of disagreement were resolved by consensus discussion.
Results: No study with low or medium risk of bias was identified.
Conclusion: In the absence of studies of acceptable quality, it is not possible to assess the impact of organisational models intended to ensure adequate health and dental care for children and adolescents in out-of-home care. Therefore, well-designed follow-up studies should be conducted following the implementation of such models.
目的：数十年的研究证实，与同龄人相比，接受家庭外照料（寄养家庭、寄宿照料）的儿童和青少年需要更多的医疗保健服务。为评估针对这一弱势群体的组织保健模式，我们进行了一次系统性文献回顾：方法：对以下数据库进行了系统的文献检索：方法：对以下数据库进行了系统性文献检索：Academic Search Elite、CENTRAL、Cochrane Database of Systematic Reviews、Cinahl、DARE、ERIC、HTA、PsycInfo、Psychology and Behavioural Sciences Collection、PubMed、SocIndex。随机和非随机对照试验均应纳入。两对审稿人分别独立评估已发表论文的摘要。符合纳入标准的摘要以全文形式排序。每篇文章都由两对审稿人进行独立评审。根据纳入标准和相关性进行联合评估。如有分歧，则通过讨论达成共识：结果：没有发现存在低度或中度偏倚风险的研究：在缺乏质量可接受的研究的情况下，无法评估旨在确保为家庭外儿童和青少年提供充分的健康和牙科护理的组织模式的影响。因此，在实施此类模式后，应进行精心设计的后续研究。
{"title":"Organisational models of health services for children and adolescents in out-of-home care: Health technology assessment.","authors":"Tita Mensah, Anders Hjern, Kickan Håkanson, Pia Johansson, Ann Kristine Jonsson, Titti Mattsson, Sofia Tranaeus, Bo Vinnerljung, Pernilla Östlund, Gunilla Klingberg","doi":"10.1111/apa.15002","DOIUrl":"10.1111/apa.15002","url":null,"abstract":"<p><strong>Aim: </strong>Decades of research confirm that children and adolescents in out-of-home care (foster family, residential care) have much greater health care needs than their peers. A systematic literature review was conducted to evaluate organisational health care models for this vulnerable group.</p><p><strong>Methods: </strong>A systematic literature search was undertaken of the following databases: Academic Search Elite, CENTRAL, Cochrane Database of Systematic Reviews, Cinahl, DARE, ERIC, HTA, PsycInfo, Psychology and Behavioural Sciences Collection, PubMed, SocIndex. Randomised and non-randomised controlled trials were to be included. Two pairs of reviewers independently assessed abstracts of the identified published papers. Abstracts meeting the inclusion criteria were ordered in full text. Each article was reviewed independently, by pairs of reviewers. A joint assessment was made based on the inclusion criteria and relevance. Cases of disagreement were resolved by consensus discussion.</p><p><strong>Results: </strong>No study with low or medium risk of bias was identified.</p><p><strong>Conclusion: </strong>In the absence of studies of acceptable quality, it is not possible to assess the impact of organisational models intended to ensure adequate health and dental care for children and adolescents in out-of-home care. Therefore, well-designed follow-up studies should be conducted following the implementation of such models.</p>","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"11 1","pages":"250-257"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003841/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90253652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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