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Items from 1 to 20 out of 307 results

article

The comparative performance of wavelet‐based outbreak detector, exponential weighted moving average, and Poisson regression‐based methods in detection of pertussis outbreaks in Iranian infants: A simulation‐based study

Yousef Alimohamadi, Seyed Mohsen Zahraei, Manoochehr Karami, Mehdi Yaseri, more

Pediatric Pulmonology > 55 > 12 > 3497 - 3508

Background Early detection of outbreaks of transmissible diseases is essential for public health. This study aimed to determine the performance of the wavelet‐based outbreak detection method (WOD) in detecting outbreaks and to compare its performance with the Poisson regression‐based model and exponentially weighted moving average (EWMA) using data of simulated pertussis outbreaks in Iran. Method...

article

Partnership dynamics among immigrants and their descendants in four European countries

Tina Hannemann, Hill Kulu, Amparo González‐Ferrer, Ariane Pailhé, more

Population, Space and Place > 26 > 5 > n/a - n/a

This study investigates union formation and dissolution among immigrants and their descendants in four European countries with different migration histories and family patterns (United Kingdom, France, Spain, and Estonia). Although there is a growing body of literature on migrant families in Europe, there is still little comparative research on partnership dynamics among immigrants and their descendants...

article

Profiling dialysis facilities for adverse recurrent events

Jason P. Estes, Yanjun Chen, Damla Şentürk, Connie M. Rhee, more

Statistics in Medicine > 39 > 9 > 1374 - 1389

Profiling analysis aims to evaluate health care providers, such as hospitals, nursing homes, or dialysis facilities, with respect to a patient outcome. Previous profiling methods have considered binary outcomes, such as 30‐day hospital readmission or mortality. For the unique population of dialysis patients, regular blood works are required to evaluate effectiveness of treatment and avoid adverse...

article

Modeling excess deaths after a natural disaster with application to Hurricane Maria

Roberto Rivera, Wolfgang Rolke

Statistics in Medicine > 38 > 23 > 4545 - 4554

Estimation of excess deaths due to a natural disaster is an important public health problem. The CDC provides guidelines to fill death certificates to help determine the death toll of such events. But, even when followed by medical examiners, the guidelines cannot guarantee a precise calculation of excess deaths. We propose two models to estimate excess deaths due to an emergency. The first model...

article

A new model for over-dispersed count data: Poisson quasi-Lindley regression model

Emrah Altun

Mathematical Sciences > 2019 > 13 > 3 > 241-247

In this paper, a new regression model for count response variable is proposed via re-parametrization of Poisson quasi-Lindley distribution. The maximum likelihood and method of moment estimations are considered to estimate the unknown parameters of re-parametrized Poisson quasi-Lindley distribution. The simulation study is conducted to evaluate the efficiency of estimation methods. The real data set...

article

Detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of Chinese patients with type 2 diabetes

Shumei Miao, Xiao Dong, Xin Zhang, Shenqi Jing, more

Journal of Diabetes > 11 > 8 > 684 - 689

Background Pioglitazone may have a protective effect against cardiovascular disease risk among type 2 diabetes (T2D) patients, but evidence from China is lacking. This study investigated the association using electronic health records (EHR) data from a Chinese cohort of T2D patients. Methods All T2D patients from the First Affiliated Hospital of Nanjing Medical University who were prescribed at...

article

Socioeconomic factors contributing to under-five mortality in sub-Saharan Africa: a decomposition analysis

Carine Van Malderen, Agbessi Amouzou, Aluisio J. D. Barros, Bruno Masquelier, more

BMC Public Health > 2019 > 19 > 1 > 1-19

Background In sub-Saharan Africa, socioeconomic factors such as place of residence, mother’s educational level, or household wealth, are strongly associated with risk factors of under-five mortality (U5M) such as health behavior or exposure to diseases and injuries. The aim of the study was to assess the relative contribution of four known socioeconomic factors to the variability in U5M in sub-Saharan...

article

Diabetes mellitus and cancer incidence: the Atherosclerosis Risk in Communities (ARIC) cohort study

Hadith Rastad, Mahboubeh Parsaeian, Nooshin Shirzad, Mohammad Ali Mansournia, more

Journal of Diabetes & Metabolic Disorders > 2019 > 18 > 1 > 65-72

Purpose To assess the association between diabetes mellitus (DM) and the incidence of cancer at different sites. Methods Data from the baseline and first three follow-up visits of the Atherosclerosis Risk in Communities (ARIC) study, an ongoing cohort study of adults from four American communities, were used in this study. Of 15,792 persons aged 45–64 years old who participated in the baseline visit,...

article

Small Area Estimation of Fertility: Comparing the 4-Parameters Own-Children Method and the Poisson Regression-Based Person-Period Approach

Pedzisai Ndagurwa, Clifford Odimegwu

Spatial Demography > 2019 > 7 > 2-3 > 149-165

This study assesses the capabilities of the 4-parameters own children method (4-pOCM) approach in the estimation of fertility rates of small areas using Schoumaker’s (2013) Poisson regression-based person-period approach (PPA). The paper was designed to appraise the Excel toolkit designed by Garenne and McCaa (2017) to implement the 4-pOCM in relation to Schoumaker’s (2013) Stata software command...

article

Comparative analysis of trip generation models according to household characteristics for developed, developing and non-developed provinces in Turkey

Nuriye Kabakuş, Ahmet Tortum

Sādhanā > 2019 > 44 > 5 > 1-13

Trip generation is the first step of transportation planning and trip distribution, stochastic separation, and assignment of traffic are done at the end of the finding of the values. In the scope of this study, the three provinces were selected from developed, developing, and non-developed provinces in Turkey and the field of the study was determined. In the determined provinces, trip generation models...

article

A new approach to truncated regression for count data

Ana María Martínez-Rodríguez, Antonio Conde-Sánchez, María José Olmo-Jiménez

AStA Advances in Statistical Analysis > 2019 > 103 > 4 > 503-526

Standard Poisson and negative binomial truncated regression models for count data include the regressors in the mean of the non-truncated distribution. In this paper, a new approach is proposed so that the explanatory variables determine directly the truncated mean. The main advantage is that the regression coefficients in the new models have a straightforward interpretation as the effect of a change...

article

Is the occurrence of pediatric epistaxis related to climatic variables?

Gang Yu, Yong Fu, Cong Dong, Huilong Duan, more

International Journal of Pediatric Otorhinolaryngology > 2018 > 113 > C > 182-187

To investigate the correlations between multiple meteorological variables and the frequency of epistaxis in the pediatric population.Children diagnosed with epistaxis in 2016 and 2017 were selected from the Outpatient Department of the Children's Hospital of Zhejiang University School of Medicine. The correlations between multiple meteorological factors and the incidence of pediatric epistaxis each...

article

Sample size determination for multilevel hierarchical designs using generalized linear mixed models

Anup Amatya, Dulal K. Bhaumik

Biometrics > 74 > 2 > 673 - 684

A unified statistical methodology of sample size determination is developed for hierarchical designs that are frequently used in many areas, particularly in medical and health research studies. The solid foundation of the proposed methodology opens a new horizon for power analysis in presence of various conditions. Important features such as joint significance testing, unequal allocations of clusters...

article

Modeling fire ignition patterns in Mediterranean urban interfaces

M. Elia, V. Giannico, R. Lafortezza, G. Sanesi

Stochastic Environmental Research and Risk Assessment > 2019 > 33 > 1 > 169-181

The rapid growth of built-up areas and infrastructure in the Mediterranean environment has resulted in the expansion of urban interfaces where fire can ignite and spread. Within this context, there is a need to understand spatial patterns of ignition distribution and the relative importance of influencing drivers. In response to this need we developed an analysis of fire ignition patterns using human...

article

Robust Wald-type tests for non-homogeneous observations based on the minimum density power divergence estimator

Ayanendranath Basu, Abhik Ghosh, Nirian Martin, Leandro Pardo

Metrika > 2018 > 81 > 5 > 493-522

This paper considers the problem of robust hypothesis testing under non-identically distributed data. We propose Wald-type tests for both simple and composite hypothesis for independent but non-homogeneous observations based on the robust minimum density power divergence estimator of the common underlying parameter. Asymptotic and theoretical robustness properties of the proposed tests are discussed...

article

Risk classification in life and health insurance: extension to continuous covariates

Michel Denuit, Catherine Legrand

European Actuarial Journal > 2018 > 8 > 1 > 245-255

This short note supplements the paper by Glschössl et al. (Eur Actuar J 1:23–41, 2011) with an efficient method allowing actuaries to include continuous covariates in their life tables, such as the sum insured for instance. Compared to the classical approach based on grouped data adopted in the majority of actuarial mortality studies, individual observations recorded at the policy level are included...

article

A modified generalized lasso algorithm to detect local spatial clusters for count data

Hosik Choi, Eunjung Song, Seung-sik Hwang, Woojoo Lee

AStA Advances in Statistical Analysis > 2018 > 102 > 4 > 537-563

Detecting local spatial clusters for count data is an important task in spatial epidemiology. Two broad approaches—moving window and disease mapping methods—have been suggested in some of the literature to find clusters. However, the existing methods employ somewhat arbitrarily chosen tuning parameters, and the local clustering results are sensitive to the choices. In this paper, we propose a penalized...

article

Measures of clustering and heterogeneity in multilevel Poisson regression analyses of rates/count data

Peter C. Austin, Henrik Stryhn, George Leckie, Juan Merlo

Statistics in Medicine > 37 > 4 > 572 - 589

Multilevel data occur frequently in many research areas like health services research and epidemiology. A suitable way to analyze such data is through the use of multilevel regression models. These models incorporate cluster‐specific random effects that allow one to partition the total variation in the outcome into between‐cluster variation and between‐individual variation. The magnitude of the effect...

article

Joint modeling of zero‐inflated panel count and severity outcomes

E. Juarez‐Colunga, G. L. Silva, C. B. Dean

Biometrics > 73 > 4 > 1413 - 1423

Panel counts are often encountered in longitudinal, such as diary, studies where individuals are followed over time and the number of events occurring in time intervals, or panels, is recorded. This article develops methods for situations where, in addition to the counts of events, a mark, denoting a measure of severity of the events, is recorded. In many situations there is an association between...

article

Biosecurity aspects of cattle production in Western Uganda, and associations with seroprevalence of brucellosis, salmonellosis and bovine viral diarrhoea

C. Wolff, S. Boqvist, K. Ståhl, C. Masembe, more

BMC Veterinary Research > 2017 > 13 > 1 > 1-16

Background Many low-income countries have a human population with a high number of cattle owners depending on their livestock for food and income. Infectious diseases threaten the health and production of cattle, affecting both the farmers and their families as well as other actors in often informal value chains. Many infectious diseases can be prevented by good biosecurity. The objectives of this...

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The comparative performance of wavelet‐based outbreak detector, exponential weighted moving average, and Poisson regression‐based methods in detection of pertussis outbreaks in Iranian infants: A simulation‐based study

Partnership dynamics among immigrants and their descendants in four European countries

Profiling dialysis facilities for adverse recurrent events

Modeling excess deaths after a natural disaster with application to Hurricane Maria

A new model for over-dispersed count data: Poisson quasi-Lindley regression model

Detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of Chinese patients with type 2 diabetes

Socioeconomic factors contributing to under-five mortality in sub-Saharan Africa: a decomposition analysis

Diabetes mellitus and cancer incidence: the Atherosclerosis Risk in Communities (ARIC) cohort study

Small Area Estimation of Fertility: Comparing the 4-Parameters Own-Children Method and the Poisson Regression-Based Person-Period Approach

Comparative analysis of trip generation models according to household characteristics for developed, developing and non-developed provinces in Turkey

A new approach to truncated regression for count data

Is the occurrence of pediatric epistaxis related to climatic variables?

Sample size determination for multilevel hierarchical designs using generalized linear mixed models

Modeling fire ignition patterns in Mediterranean urban interfaces

Robust Wald-type tests for non-homogeneous observations based on the minimum density power divergence estimator

Risk classification in life and health insurance: extension to continuous covariates

A modified generalized lasso algorithm to detect local spatial clusters for count data

Measures of clustering and heterogeneity in multilevel Poisson regression analyses of rates/count data

Joint modeling of zero‐inflated panel count and severity outcomes

Biosecurity aspects of cattle production in Western Uganda, and associations with seroprevalence of brucellosis, salmonellosis and bovine viral diarrhoea

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