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Articles 991 - 1020 of 2693
Full-Text Articles in Statistics and Probability
Power And Sample Size Estimation For Nonparametric Composite Endpoints: Practical Implementation Using Data Simulations, Paul M. Brown, Justin A. Ezekowitz
Power And Sample Size Estimation For Nonparametric Composite Endpoints: Practical Implementation Using Data Simulations, Paul M. Brown, Justin A. Ezekowitz
Journal of Modern Applied Statistical Methods
Composite endpoints are a popular outcome in controlled studies. However, the required sample size is not easily obtained due to the assortment of outcomes, correlations between them and the way in which the composite is constructed. Data simulations are required. A macro is developed that enables sample size and power estimation.
Does The Stress Inherent To Laboratory Life And Experimentation On Animals Adversely Affect Research Data?, Jarrod Bailey
Does The Stress Inherent To Laboratory Life And Experimentation On Animals Adversely Affect Research Data?, Jarrod Bailey
Validation of Animal Experimentation Collection
Stress and distress in laboratory animals is often inherent and unavoidable. The effect of these factors on the reliability and relevance of experimental data is not sufficiently appreciated. Greater awareness, debate and discussion of this issue are urgently required.
The Regression Smoother Lowess: A Confidence Band That Allows Heteroscedasticity And Has Some Specified Simultaneous Probability Coverage, Rand Wilcox
Journal of Modern Applied Statistical Methods
Many nonparametric regression estimators (smoothers) have been proposed that provide a more flexible method for estimating the true regression line compared to using some of the more obvious parametric models. A basic goal when using any smoother is computing a confidence band for the true regression line. Let M(Y|X) be some conditional measure of location associated with the random variable Y, given X and let x be some specific value of the covariate. When using the LOWESS estimator, an extant method that assumes homoscedasticity can be used to compute a confidence interval for M(Y|X = x). A trivial way of …
Robust Measures Of Variable Importance For Multivariate Group Designs, Tolulope T. Sajobi, Lisa M. Lix
Robust Measures Of Variable Importance For Multivariate Group Designs, Tolulope T. Sajobi, Lisa M. Lix
Journal of Modern Applied Statistical Methods
Variable importance measures based on discriminant analysis and multivariate analysis of variance are useful for identifying variables that discriminate between two groups in multivariate group designs. Variable importance measures are developed based on trimmed and Winsorized estimators for describing group differences in multivariate non-normal populations.
Effectively Comparing Differences In Proportions, Lonnie Turpin Jr.
Effectively Comparing Differences In Proportions, Lonnie Turpin Jr.
Journal of Modern Applied Statistical Methods
A single framework of developing and implementing tests about proportions is outlined. It avoids some of the pitfalls of methods commonly put forward in an introductory data analysis course.
Missing Data In Longitudinal Surveys: A Comparison Of Performance Of Modern Techniques, Paola Zaninotto, Amanda Sacker
Missing Data In Longitudinal Surveys: A Comparison Of Performance Of Modern Techniques, Paola Zaninotto, Amanda Sacker
Journal of Modern Applied Statistical Methods
Using a simulation study, the performance of complete case analysis, full information maximum likelihood, multivariate normal imputation, multiple imputation by chained equations and two-fold fully conditional specification to handle missing data were compared in longitudinal surveys with continuous and binary outcomes, missing covariates, and an interaction term.
Around Gamma Lindley Distribution, Hamouda Messaadia, Halim Zeghdoudi
Around Gamma Lindley Distribution, Hamouda Messaadia, Halim Zeghdoudi
Journal of Modern Applied Statistical Methods
Some remarks and correction on a new distribution, Gamma Lindley, of which the Lindley distribution is a particular case, are given pertaining to its parameter space.
The Impact Of Inappropriate Modeling Of Cross-Classified Data Structures On Random-Slope Models, Feifei Ye, Laura Daniel
The Impact Of Inappropriate Modeling Of Cross-Classified Data Structures On Random-Slope Models, Feifei Ye, Laura Daniel
Journal of Modern Applied Statistical Methods
Previous studies that explored the impact of misspecification of cross-classified data structure as strictly hierarchical are limited to random intercept models. This study examined the effects of misspecification of a two-level, cross-classified, random effect model (CCREM) where both the level-1 intercept and slope were allowed to vary randomly. Results suggest that ignoring one of the crossed factors produced considerably underestimated standard errors for: 1) the regression coefficients of the level-1 predictor; 2) the inappropriately modeled predictor associated with the misspecified crossed factor; and 3) and their interaction. This misspecification also resulted in a significant inflation of the level-1 residual variances …
Experimental Design And Data Analysis In Computer Simulation Studies In The Behavioral Sciences, Michael Harwell, Nidhi Kohli, Yadira Peralta
Experimental Design And Data Analysis In Computer Simulation Studies In The Behavioral Sciences, Michael Harwell, Nidhi Kohli, Yadira Peralta
Journal of Modern Applied Statistical Methods
Treating computer simulation studies as statistical sampling experiments subject to established principles of experimental design and data analysis should further enhance their ability to inform statistical practice and a program of statistical research. Latin hypercube designs to enhance generalizability and meta-analytic methods to analyze simulation results are presented.
On Variance Balanced Designs, Dilip Kumar Ghosh, Sangeeta Ahuja
On Variance Balanced Designs, Dilip Kumar Ghosh, Sangeeta Ahuja
Journal of Modern Applied Statistical Methods
Balanced incomplete block designs are not always possible to construct because of their parametric relations. In such a situation another balanced design, the variance balanced design, is required. This construction of binary, equal replicated variance balanced designs are discussed using the half fraction of the 2n factorial designs with smaller block sizes. This method was also extended to construct another variance balanced design by deleting the last block of the resulting variance balanced designs. Its efficiency factor compared with randomized block designs was compared and found to be highly efficient.
Performance Evaluation Of Confidence Intervals For Ordinal Coefficient Alpha, Heather J. Turner, Prathiba Natesan, Robin K. Henson
Performance Evaluation Of Confidence Intervals For Ordinal Coefficient Alpha, Heather J. Turner, Prathiba Natesan, Robin K. Henson
Journal of Modern Applied Statistical Methods
The aim of this study was to investigate the performance of the Fisher, Feldt, Bonner, and Hakstian and Whalen (HW) confidence intervals methods for the non-parametric reliability estimate, ordinal alpha. All methods yielded unacceptably low coverage rates and potentially increased Type-I error rates.
A Monte Carlo Study Of The Effects Of Variability And Outliers On The Linear Correlation Coefficient, Hussein Yousif Eledum
A Monte Carlo Study Of The Effects Of Variability And Outliers On The Linear Correlation Coefficient, Hussein Yousif Eledum
Journal of Modern Applied Statistical Methods
Monte Carlo simulations are used to investigate the effect of two factors, the amount of variability and an outlier, on the size of the Pearson correlation coefficient. Some simulation algorithms are developed, and two theorems for increasing or decreasing the amount of variability are suggested.
Parameter Estimation In Weighted Rayleigh Distribution, M. Ajami, S. M. A. Jahanshahi
Parameter Estimation In Weighted Rayleigh Distribution, M. Ajami, S. M. A. Jahanshahi
Journal of Modern Applied Statistical Methods
A weighted model based on the Rayleigh distribution is proposed and the statistical and reliability properties of this model are presented. Some non-Bayesian and Bayesian methods are used to estimate the β parameter of proposed model. The Bayes estimators are obtained under the symmetric (squared error) and the asymmetric (linear exponential) loss functions using non-informative and reciprocal gamma priors. The performance of the estimators is assessed on the basis of their biases and relative risks under the two above-mentioned loss functions. A simulation study is constructed to evaluate the ability of considered estimation methods. The suitability of the proposed model …
Jmasm 46: Algorithm For Comparison Of Robust Regression Methods In Multiple Linear Regression By Weighting Least Square Regression (Sas), Mohamad Shafiq, Wan Muhamad Amir, Nur Syabiha Zafakali
Jmasm 46: Algorithm For Comparison Of Robust Regression Methods In Multiple Linear Regression By Weighting Least Square Regression (Sas), Mohamad Shafiq, Wan Muhamad Amir, Nur Syabiha Zafakali
Journal of Modern Applied Statistical Methods
The aim of this study is to compare different robust regression methods in three main models of multiple linear regression and weighting multiple linear regression. An algorithm for weighting multiple linear regression by standard deviation and variance for combining different robust method is given in SAS along with an application.
Bayesian Hypothesis Testing Of Two Normal Samples Using Bootstrap Prior Technique, Oyebayo Ridwan Olaniran, Waheed Babatunde Yahya
Bayesian Hypothesis Testing Of Two Normal Samples Using Bootstrap Prior Technique, Oyebayo Ridwan Olaniran, Waheed Babatunde Yahya
Journal of Modern Applied Statistical Methods
The most important ingredient in Bayesian analysis is prior or prior distribution. A new prior determination method was developed under the framework of parametric empirical Bayes using bootstrap technique. By way of example, Bayesian estimations of the parameters of a normal distribution with unknown mean and unknown variance conditions were considered, as well as its application in comparing the means of two independent normal samples with several scenarios. A Monte Carlo study was conducted to illustrate the proposed procedure in estimation and hypothesis testing. Results from Monte Carlo studies showed that the bootstrap prior proposed is more efficient than the …
Fitting Skew Distributions To Iranian Auto Insurance Claim Data, Ramin Kazemi, Abdollah Jalilian, Akram Kohansal
Fitting Skew Distributions To Iranian Auto Insurance Claim Data, Ramin Kazemi, Abdollah Jalilian, Akram Kohansal
Applications and Applied Mathematics: An International Journal (AAM)
In actuary, the derivation of loss distributions from insurance data is of great interest. Fitting an adequate distribution to real insurance data is not an easy task, mainly due to the nature of the data, which shows several features to be accounted for. Although, because of its stochastic and numerical simplicity, it is often assumed that the involved financial risk factors are normally distributed, but empirical studies indicate that most of financial risk factors have distributions with high peaks and heavy tails. Thus, it is important in the actuarial science to model insurance risks with skewed distributions. Claims size data …
Using Data Analytics For Discovering Library Resource Insights: Case From Singapore Management University, Ning Lu, Rui Song, Dina Li Gwek Heng, Swapna Gottipati, Aaron Tay
Using Data Analytics For Discovering Library Resource Insights: Case From Singapore Management University, Ning Lu, Rui Song, Dina Li Gwek Heng, Swapna Gottipati, Aaron Tay
Research Collection School Of Computing and Information Systems
Library resources are critical in supporting teaching, research and learning processes. Several universities have employed online platforms and infrastructure for enabling the online services to students, faculty and staff. To provide efficient services by understanding and predicting user needs libraries are looking into the area of data analytics. Library analytics in Singapore Management University is the project committed to provide an interface for data-intensive project collaboration, while supporting one of the library’s key pillars on its commitment to collaborate on initiatives with SMU Communities and external groups. In this paper, we study the transaction logs for user behavior analysis that …
Increasing Use Of Research Findings In Improving Evidence-Based Health Policy At The National Level, Meiwita Budiharsana
Increasing Use Of Research Findings In Improving Evidence-Based Health Policy At The National Level, Meiwita Budiharsana
Kesmas
In February 2016, the Minister of Health decided to increase the use of research findings in improving the quality of the national health policy and planning. The Ministry of Health has instructed the National Institute of Health Research and Development or NIHRD to play a stronger role of monitoring and evaluating all health programs, because “their opinion and research findings should be the basis for changes in national health policies and planning”. Compared to the past, the Ministry of Health has increased the research budget for evidence-based research tremendously. However, there is a gap between the information needs of program …
The Change In Mental Health Status Of Indonesian Health Care Migrant Worker In Japan, Susiana Nugraha, Yuko Hirano, Honda Sumihisha
The Change In Mental Health Status Of Indonesian Health Care Migrant Worker In Japan, Susiana Nugraha, Yuko Hirano, Honda Sumihisha
Kesmas
Under the Japan – Indonesia Economic Partnership Agreement, more than 1,000 of Indonesian health care workers have migrated to Japan. Social adjustment during the process of migration is linked to mental health changes. This study aimed to figure out the strongest predictor that influences the change in mental health status as a result of migration. Baseline data were collected in Jakarta in 2013 during pre-departure orientation. Follow-up study was conducted one year after the study participants migrated to Japan in 2014. Using longitudinal design, this study employed 92 participants consisting of nurse and certified care worker candidates. The multiple linear …
Husband’S Education Level And Alcohol Drinking Habit As Risk Factors Of Hiv Infection Among Housewives In Pati District, Nurul Aeni, Annemarie Westendorp
Husband’S Education Level And Alcohol Drinking Habit As Risk Factors Of Hiv Infection Among Housewives In Pati District, Nurul Aeni, Annemarie Westendorp
Kesmas
Cases of Human Immunodeficiency Virus (HIV) infection in Pati District increase, particularly among housewives. The aim of this study was to analyse the risk factors of HIV infection among housewives in Pati District using case-control study design. The respondents were 90 housewives divided into case and control group. The case group consisted of 30 housewives living with HIV, while the control group comprised 60 housewives living in the similar area of the counterparts. The data collection was focused on demographic, sexual behaviour, and sociocultural variables possessed by housewives and their husbands. The study resulted that the risk factors of HIV …
Implementation Of Cigarette Excise Policy Against Cigarette Consumption Reduction Among Adolescent In Kuningan, Indonesia, Jani Ramjani, Fitri Kurnia Rahim, Icca Stella Amalia, Wahyu Manggala Putra
Implementation Of Cigarette Excise Policy Against Cigarette Consumption Reduction Among Adolescent In Kuningan, Indonesia, Jani Ramjani, Fitri Kurnia Rahim, Icca Stella Amalia, Wahyu Manggala Putra
Kesmas
Indonesia has the highest prevalence of smoking (50.68%) compared to other ASEAN countries. On January 1st, 2017, the Indonesian government raised cigarette excise taxes. The purpose of this study was to analysis the impact of cigarette excise increase on cigarette consumption among adolescents aged 17 to 25 years. The study design used cross-sectional survey. A total of 153 adolescents were recruited in this study through simple random sampling technique. Questionnaires and observation papers were used in this study. A face-to-face interview was conducted to fulfill the data collection through home visit for each respondent. The data were obtained during May …
Spatial Analysis Of Determinants Of Filariasis-Endemic Areas In West Sumatra, Masrizal Masrizal, Fivi Melva Diana, Rosfita Rasyid
Spatial Analysis Of Determinants Of Filariasis-Endemic Areas In West Sumatra, Masrizal Masrizal, Fivi Melva Diana, Rosfita Rasyid
Kesmas
West Pasaman District and Agam District are filariasis-endemic areas in West Sumatra with prevalence of 12.40 per 100,000 cases and 11.27 per 100,000 cases respectively. This study aimed to determine risk factors associated with the prevalence of filariasis and mapping the vulnerability of the area in West Sumatra. A case control study design was conducted in the West Pasaman District and Agam District. The study used a sample of 74 cases and 74 controls taken by simple random sampling for the case and purposive random sampling for control. Data analysis used univariate, bivariate, multivariate and spatial. The results in Agam …
Effect Of Health Education On Community Participation To Eradicate Aedes Aegypti-Breeding Sites In Buahbatu And Cinambo Districts, Bandung, Zahratul Elsa, Uun Sumardi, Lia Faridah
Effect Of Health Education On Community Participation To Eradicate Aedes Aegypti-Breeding Sites In Buahbatu And Cinambo Districts, Bandung, Zahratul Elsa, Uun Sumardi, Lia Faridah
Kesmas
Dengue hemorrhagic fever (DHF) is still a major public health problem in many regions in Indonesia including Bandung City. Community participation in implementing Eradication of Mosquito-Breeding Sites is still needed as it is considered the most effective method in controlling the dengue fever. This study aimed to determine the influence of health education towards community participation to eradicate mosquito-breeding sites, which was measured by knowledge level and larva index conducted in Bandung, specifically in two different locations with the highest and the lowest incidence rates of DHF. This study used quasi-experimental method. Samples were 100 people living in Cijawura and …
Maternal Energy Intake At The Sixth Month As Dominant Factor Of Exclusive Breastfeeding Success, Devi Suryanti Sihite, Sandra Fikawati, Ahmad Syafiq
Maternal Energy Intake At The Sixth Month As Dominant Factor Of Exclusive Breastfeeding Success, Devi Suryanti Sihite, Sandra Fikawati, Ahmad Syafiq
Kesmas
Breastfeeding mothers needed adequate energy intake to provide 6-month exclusive breastfeeding that is necessary for infant growth and development. This study aimed to investigate real intake at the first and sixth month of breastfeeding and determine the dominant factor affecting 6-month exclusive breastfeeding provision. The design of this study was cross-sectional conducted in March-April 2015 among 109 mothers with 6-12- month-old infant living and registered at integrated health care in Kalangan Primary Health Care area. Data were collected through interview using questionnaires. Breastfeeding mothers’ intake was asked using Semi-Quantitative Food Frequency Questionnaire. The study found that 6-month exclusive breastfeeding proportion …
Equity Level Of Health Insurance Ownership In Indonesia, Risky Kusuma Hartono
Equity Level Of Health Insurance Ownership In Indonesia, Risky Kusuma Hartono
Kesmas
Social health insurance from government program are expected to be able to reduce inequalities access to health services in the middle of rising of health care cost, while private health insurance is still limited for up and middle class population. This study aimed to analyze the equity level of health insurance ownership including social and private health insurance in Indonesia. This study examined the condition of Indonesia in the middle of entering National Health Insurance (NHI) era. This study used data of Indonesian Socio-Economic Survey 2012. Data were analyzed by using econometric approach through multinomial logit analysis. The results showed …
Using Data To Improve Services For Infants With Hearing Loss: Linking Newborn Hearing Screening Records With Early Intervention Records, Maria Gonzalez, Lori Iarossi, Yan Wu, Ying Huang, Kirsten Siegenthaler
Using Data To Improve Services For Infants With Hearing Loss: Linking Newborn Hearing Screening Records With Early Intervention Records, Maria Gonzalez, Lori Iarossi, Yan Wu, Ying Huang, Kirsten Siegenthaler
Journal of Early Hearing Detection and Intervention
The purpose of this study was to match records of infants with permanent hearing loss from the New York Early Hearing Detection and Intervention Information System (NYEHDI-IS) to records of infants with permanent hearing loss receiving early intervention services from the New York State Early Intervention Program (NYSEIP) to identify areas in the state where hearing screening, diagnostic evaluations and referrals to the NYSEIP were not being made or documented in a timely manner. Data from 2014-2016 NYEHDI-IS and NYEIS information systems were matched using The Link King. There were 274 infants documented in NYEIS Information System as receiving early …
Reducing Symptom Distress In Patients With Advanced Cancer Using An E-Alert System For Caregivers: Pooled Analysis Of Two Randomized Clinical Trials, David H. Gustafson, Lori L. Dubenske, Amy K. Atwood, Ming-Yuan Chih, Roberta A. Johnson, Fiona Mctavish, Andrew Quanbeck, Roger L. Brown, James F. Cleary, Dhavan Shah
Reducing Symptom Distress In Patients With Advanced Cancer Using An E-Alert System For Caregivers: Pooled Analysis Of Two Randomized Clinical Trials, David H. Gustafson, Lori L. Dubenske, Amy K. Atwood, Ming-Yuan Chih, Roberta A. Johnson, Fiona Mctavish, Andrew Quanbeck, Roger L. Brown, James F. Cleary, Dhavan Shah
Health and Clinical Sciences Faculty Publications
Background: Symptom distress in patients toward the end of life can change rapidly. Family caregivers have the potential to help patients manage those symptoms, as well as their own stress, if they are equipped with the proper resources. Electronic health (eHealth) systems may be able to provide those resources. Very sick patients may not be able to use such systems themselves to report their symptoms but family caregivers could.
Objective: The aim of this paper was to assess the effects on cancer patient symptom distress of an eHealth system that alerts clinicians to significant changes in the patient’s symptoms, as …
Improving Service Level Of Free-Floating Bike Sharing Systems, Aritra Pal
Improving Service Level Of Free-Floating Bike Sharing Systems, Aritra Pal
USF Tampa Graduate Theses and Dissertations
Bike Sharing is a sustainable mode of urban mobility, not only for regular commuters but also for casual users and tourists. Free-floating bike sharing (FFBS) is an innovative bike sharing model, which saves on start-up cost, prevents bike theft, and offers significant opportunities for smart management by tracking bikes in real-time with built-in GPS. Efficient management of a FFBS requires: 1) analyzing its mobility patterns and spatio-temporal imbalance of supply and demand of bikes, 2) developing strategies to mitigate such imbalances, and 3) understanding the causes of a bike getting damaged and developing strategies to minimize them. All of these …
“Everyday” Knowledge And A New Paradigm Of Animal Research, David Fraser, Jeffrey M. Spooner, Catherine A. Schuppli
“Everyday” Knowledge And A New Paradigm Of Animal Research, David Fraser, Jeffrey M. Spooner, Catherine A. Schuppli
Validation of Animal Experimentation Collection
Commentary on Marino and Allen (2017) The Psychology of Cows
Enrichment Of Putatively Damaging Rare Variants In The Dyx2 Locus And The Reading-Related Genes Ccdc136 And Flnc, Andrew K. Adams, Shelley D. Smith, Dongnhu T. Truong, Erik G. Willcutt, Richard K. Olson, John C. Defries, Bruce F. Pennington, Jeffrey R. Gruen
Enrichment Of Putatively Damaging Rare Variants In The Dyx2 Locus And The Reading-Related Genes Ccdc136 And Flnc, Andrew K. Adams, Shelley D. Smith, Dongnhu T. Truong, Erik G. Willcutt, Richard K. Olson, John C. Defries, Bruce F. Pennington, Jeffrey R. Gruen
Psychology: Faculty Scholarship
Eleven loci with prior evidence for association with reading and language phenotypes were sequenced in 96 unrelated subjects with significant impairment in reading performance drawn from the Colorado Learning Disability Research Center collection. Out of 148 total individual missense variants identified, the chromosome 7 genes CCDC136 and FLNC contained 19. In addition, a region corresponding to the well-known DYX2 locus for RD contained 74 missense variants. Both allele sets were filtered for a minor allele frequency ≤0.01 and high Polyphen-2 scores. To determine if observations of these alleles are occurring more frequently in our cases than expected by chance in …