O. D. Borysenko and D. O. Borysenko
Theor. Probability and Math. Statist. 99 (2020), 67-75.
Abstract, references and article information

(JAMA Network) Death certificate data were used to compare the rate of opioid-related deaths in the US among cancer survivors with that of the general population from 2006 through 2016. Whether opioid-associated deaths in cancer survivors, who are often prescribed opioids for cancer-related pain, are rising at the same rate as in the general population is unknown.

The composition-function relationship of HDL particles and its effects on the mechanisms driving coronary heart disease (CHD) is poorly understood. We tested the hypothesis that the functionality of HDL particles is significantly influenced by their lipid composition. Using a novel 3D-separation method, we isolated five different-sized HDL subpopulations from CHD patients who had low preβ-1 functionality (low-F) (ABCA1-dependent cholesterol-efflux normalized for preβ-1 concentration) and controls who had either low-F or high preβ-1 functionality (high-F). Molecular numbers of apoA-I, apoA-II, and eight major lipid classes were determined in each subpopulation by LC-MS. The average number of lipid molecules decreased from 422 in the large spherical α-1 particles to 57 in the small discoid preβ-1 particles. With decreasing particle size, the relative concentration of free cholesterol (FC) decreased in α-mobility but not in preβ-1 particles. Preβ-1 particles contained more lipids than predicted; 30% of which were neutral lipids (cholesteryl ester and triglyceride), indicating that these particles were mainly remodeled from larger particles not newly synthesized. There were significant correlations between HDL-particle functionality and the concentrations of several lipids. Unexpectedly, the phospholipid:FC ratio was significantly correlated with large-HDL-particle functionality but not with preβ-1 functionality. There was significant positive correlation between particle functionality and total lipids in high-F controls, indicating that the lipid-binding capacity of apoA-I plays a major role in the cholesterol efflux capacity of HDL particles. Functionality and lipid composition of HDL particles are significantly correlated and probably both are influenced by the lipid-binding capacity of apoA-I.

Monogenic forms of obesity have been identified in ≤10% of severely obese European patients. However, the overall spectrum of deleterious variants (point mutations and structural variants) responsible for childhood severe obesity remains elusive. In this study, we genetically screened 225 severely obese children from consanguineous Pakistani families through a combination of techniques including an in-house developed augmented whole-exome sequencing (CoDE-seq) enabling simultaneous detection of whole exome copy number variations (CNVs) and of point mutations in coding regions. We identified 110 probands (49%) carrying 55 different pathogenic point mutations and CNVs in 13 genes/loci responsible for non-syndromic and syndromic monofactorial obesity. CoDE-seq also identified 28 rare or novel CNVs associated with intellectual disability in 22 additional obese subjects (10%). Additionally, we highlight variants in candidate genes for obesity warranting further investigation. Altogether, 59% of the studied cohort are likely to have a discrete genetic cause with 13% of these due to CNVs demonstrating a remarkably higher prevalence of monofactorial obesity than hitherto reported and a plausible over lapping of obesity and intellectual disabilities in several cases. Finally, inbred populations with high prevalence of obesity, provide a unique genetically enriched material in quest of new genes/variants influencing energy balance.

Mariano J Garcia
Feb 1, 1974; 23:105-111
Original Contribution

Joachim Spranger
Mar 1, 2003; 52:812-817
Pathophysiology

One of the most rapidly aging societies in the world, Japan is looking to immigration to address increased labor shortages—albeit slowly and largely without public debate. This country profile offers a brief overview of Japan’s migration history and examines the current immigration system, in particular policies and programs to bring in foreign workers, particularly on a temporary basis.

With nearly 1.4 million internally displaced persons (IDPs), Ukraine is home to one of the largest IDP populations in the world. Five years after Russia's annexation of Crimea, displaced Ukrainians continue to face challenges related to national identity, social cohesion, and political participation. While the Ukrainian government has had some success integrating IDPs, the conflict’s end remains uncertain, and many are unlikely to return to their communities of origin no matter the outcome.

OBJECTIVE

To improve outcomes of patients with adult type 2 diabetes by decreasing HbA_1c undertesting, reducing the proportion of patients with poor glycemic control, and lowering mean HbA_1c levels using a quality improvement (QI) program.

Edward A. Chow
Jul 1, 2012; 30:130-133
Diabetes Advocacy

OBJECTIVE

Type 2 diabetes mellitus (T2DM) is associated with dyslipidemia, but the detailed alterations in lipid species preceding the disease are largely unknown. We aimed to identify plasma lipids associated with development of T2DM and investigate their associations with lifestyle.

OBJECTIVE

To analyze the differences in health care costs according to glycemic control in people with type 2 diabetes.

OBJECTIVE

To assess the contemporaneous prevalence of diabetic peripheral neuropathy (DPN) in people with type 1 diabetes (T1D) in Scotland and study its cross-sectional association with risk factors and other diabetic complications.

Kalevi Pyörälä
Mar 1, 1979; 2:131-141
Proceedings of the Kroc Foundation International Conference on Epidemiology of Diabetes and its Macrovascular Complications

Johanna M Mooy
Sep 1, 1995; 18:1270-1273
Short Report

OBJECTIVE

To determine the risk of cardiovascular disease (CVD), microvascular complications, and mortality in patients with type 2 diabetes who subsequently develop obstructive sleep apnea (OSA) compared with patients with type 2 diabetes without a diagnosis of OSA.

2017 saw the introduction of several bills—two of them by Senate Republicans in the weeks following the Trump administration’s announcement that it would terminate the Deferred Action for Childhood Arrivals (DACA) program—that would provide a pathway to conditional and then legal permanent residence to unauthorized immigrants brought to the United States as children, if they meet a range of educational, professional, and other criteria.

This fact sheet and accompanying interactive data tools provide characteristics of the estimated 11.3 million unauthorized immigrants in the United States, using a unique MPI methodology that assigns legal status to U.S. Census Bureau data. The fact sheet and tools offer statistics on these immigrants’ origins, U.S. destinations, educational attainment, English proficiency, employment, income, home ownership, and more.

Testimony of Marc Rosenblum before the Senate Committee on Homeland Security and Governmental Affairs for the March 26, 2015 hearing on the characteristics of unauthorized immigrants in the United States and how to address future flows.

Pennsylvania Avenue, would placing some of them in zoos be unethical? Would they be considered human enough to receive human rights?

The Houston metro area, home to 1.6 million immigrants, is diverse and rapidly growing. This report sketches the area's immigrant population, examining top origin countries, key socioeconomic measures, and more. It also explores how Hurricane Harvey affected the immigrant population, and how national policy changes under the Trump administration are being felt locally, including by DACA recipients and asylum seekers.

Dual Language Learners (DLLs) are a growing segment of the Minnesota young child population, and a particularly "superdiverse" one with myriad origins, cultures, and languages—a new reality other states and communities will face. Drawing on interviews with policymakers and service providers, as well as analysis of census data, this report examines what this incredible diversity means for the state’s early childhood policies and programs.

The future of the Deferred Action for Childhood Arrivals (DACA) program is uncertain, amid skepticism from the Trump administration about its merits and the promise of legal challenge from ten state attorneys general. This issue brief presents a profile of young adults eligible for DACA in terms of their educational attainment and labor force participation, as well as what is at stake should the program be terminated.

This MPI webinar brought together public health and migration experts to analyze the impact that COVID-19 preventative measures will have on vulnerable immigrants and refugees in Latin America, with a particular look at Colombia as a case study. Speakers also discussed how policymakers and international organizations can include migrant populations in their emergency response plans.

OBJECTIVE

To evaluate whether high glucose levels in the normoglycemic range and higher have a causal genetic effect on risk of retinopathy, neuropathy, nephropathy, chronic kidney disease (CKD), peripheral arterial disease (PAD), and myocardial infarction (MI; positive control) in the general population.

OBJECTIVE

This study aimed to reveal the associations between the risk of new-onset type 2 diabetes and the duration of antidepressant use and the antidepressant dose, and between antidepressant use after diabetes onset and clinical outcomes.

This MPI webinar brought together public health and migration experts to analyze the impact that COVID-19 preventative measures will have on vulnerable immigrants and refugees in Colombia and Latin America. Speakers also discussed how policymakers and international organizations can include migrant populations in their emergency response plans.

Wilfred Fujimoto
Apr 1, 2013; 31:90-94
Diabetes Advocacy

Edward A. Chow
Jul 1, 2012; 30:130-133
Diabetes Advocacy

In five northern U.S. states, black students comprise more than a fifth of ELL enrollment.

Londres : Paris, 1860.

In five northern U.S. states, black students comprise more than a fifth of ELL enrollment.

Erlandson F. Saraiva, Adriano K. Suzuki, Luís A. Milan.

Source: Brazilian Journal of Probability and Statistics, Volume 34, Number 2, 323--344.

Abstract:
In this paper, we introduce a Bayesian approach for clustering data using a sparse finite mixture model (SFMM). The SFMM is a finite mixture model with a large number of components $k$ previously fixed where many components can be empty. In this model, the number of components $k$ can be interpreted as the maximum number of distinct mixture components. Then, we explore the use of a prior distribution for the weights of the mixture model that take into account the possibility that the number of clusters $k_{mathbf{c}}$ (e.g., nonempty components) can be random and smaller than the number of components $k$ of the finite mixture model. In order to determine clusters we develop a MCMC algorithm denominated Split-Merge allocation sampler. In this algorithm, the split-merge strategy is data-driven and was inserted within the algorithm in order to increase the mixing of the Markov chain in relation to the number of clusters. The performance of the method is verified using simulated datasets and three real datasets. The first real data set is the benchmark galaxy data, while second and third are the publicly available data set on Enzyme and Acidity, respectively.

Mohd Arshad, Omer Abdalghani.

Source: Brazilian Journal of Probability and Statistics, Volume 34, Number 1, 167--182.

Abstract:
Suppose that $pi_{1},pi_{2},ldots ,pi_{k}$ be $k(geq2)$ independent exponential populations having unknown location parameters $mu_{1},mu_{2},ldots,mu_{k}$ and known scale parameters $sigma_{1},ldots,sigma_{k}$. Let $mu_{[k]}=max {mu_{1},ldots,mu_{k}}$. For selecting the population associated with $mu_{[k]}$, a class of selection rules (proposed by Arshad and Misra [ Statistical Papers 57 (2016) 605–621]) is considered. We consider the problem of estimating the location parameter $mu_{S}$ of the selected population under the criterion of the LINEX loss function. We consider three natural estimators $delta_{N,1},delta_{N,2}$ and $delta_{N,3}$ of $mu_{S}$, based on the maximum likelihood estimators, uniformly minimum variance unbiased estimator (UMVUE) and minimum risk equivariant estimator (MREE) of $mu_{i}$’s, respectively. The uniformly minimum risk unbiased estimator (UMRUE) and the generalized Bayes estimator of $mu_{S}$ are derived. Under the LINEX loss function, a general result for improving a location-equivariant estimator of $mu_{S}$ is derived. Using this result, estimator better than the natural estimator $delta_{N,1}$ is obtained. We also shown that the estimator $delta_{N,1}$ is dominated by the natural estimator $delta_{N,3}$. Finally, we perform a simulation study to evaluate and compare risk functions among various competing estimators of $mu_{S}$.

Caio L. N. Azevedo, Dalton F. Andrade

Source: Braz. J. Probab. Stat., Volume 24, Number 3, 415--433.

Abstract:
The nominal response model (NRM) was proposed by Bock [ Psychometrika 37 (1972) 29–51] in order to improve the latent trait (ability) estimation in multiple choice tests with nominal items. When the item parameters are known, expectation a posteriori or maximum a posteriori methods are commonly employed to estimate the latent traits, considering a standard symmetric normal distribution as the latent traits prior density. However, when this item set is presented to a new group of examinees, it is not only necessary to estimate their latent traits but also the population parameters of this group. This article has two main purposes: first, to develop a Monte Carlo Markov Chain algorithm to estimate both latent traits and population parameters concurrently. This algorithm comprises the Metropolis–Hastings within Gibbs sampling algorithm (MHWGS) proposed by Patz and Junker [ Journal of Educational and Behavioral Statistics 24 (1999b) 346–366]. Second, to compare, in the latent trait recovering, the performance of this method with three other methods: maximum likelihood, expectation a posteriori and maximum a posteriori. The comparisons were performed by varying the total number of items (NI), the number of categories and the values of the mean and the variance of the latent trait distribution. The results showed that MHWGS outperforms the other methods concerning the latent traits estimation as well as it recoveries properly the population parameters. Furthermore, we found that NI accounts for the highest percentage of the variability in the accuracy of latent trait estimation.

Zeinab Mashreghi, David Haziza, Christian Léger.

Source: Statistics Surveys, Volume 10, 1--52.

Abstract:
We review bootstrap methods in the context of survey data where the effect of the sampling design on the variability of estimators has to be taken into account. We present the methods in a unified way by classifying them in three classes: pseudo-population, direct, and survey weights methods. We cover variance estimation and the construction of confidence intervals for stratified simple random sampling as well as some unequal probability sampling designs. We also address the problem of variance estimation in presence of imputation to compensate for item non-response.

Trang Quynh Nguyen, Elizabeth A. Stuart.

Source: The Annals of Applied Statistics, Volume 14, Number 1, 518--520.

Kerstin Spitzer, Marta Pelizzola, Andreas Futschik.

Source: The Annals of Applied Statistics, Volume 14, Number 1, 202--220.

Abstract:
Evolve and resequence studies provide a popular approach to simulate evolution in the lab and explore its genetic basis. In this context, Pearson’s chi-square test, Fisher’s exact test as well as the Cochran–Mantel–Haenszel test are commonly used to infer genomic positions affected by selection from temporal changes in allele frequency. However, the null model associated with these tests does not match the null hypothesis of actual interest. Indeed, due to genetic drift and possibly other additional noise components such as pool sequencing, the null variance in the data can be substantially larger than accounted for by these common test statistics. This leads to $p$-values that are systematically too small and, therefore, a huge number of false positive results. Even, if the ranking rather than the actual $p$-values is of interest, a naive application of the mentioned tests will give misleading results, as the amount of overdispersion varies from locus to locus. We therefore propose adjusted statistics that take the overdispersion into account while keeping the formulas simple. This is particularly useful in genome-wide applications, where millions of SNPs can be handled with little computational effort. We then apply the adapted test statistics to real data from Drosophila and investigate how information from intermediate generations can be included when available. We also discuss further applications such as genome-wide association studies based on pool sequencing data and tests for local adaptation.

Pier Luigi Conti, Daniela Marella, Fulvia Mecatti, Federico Andreis.

Source: Bernoulli, Volume 26, Number 2, 1044--1069.

Abstract:
In this paper, a class of resampling techniques for finite populations under $pi $ps sampling design is introduced. The basic idea on which they rest is a two-step procedure consisting in: (i) constructing a “pseudo-population” on the basis of sample data; (ii) drawing a sample from the predicted population according to an appropriate resampling design. From a logical point of view, this approach is essentially based on the plug-in principle by Efron, at the “sampling design level”. Theoretical justifications based on large sample theory are provided. New approaches to construct pseudo populations based on various forms of calibrations are proposed. Finally, a simulation study is performed.

Jie Yen Fan, Kais Hamza, Peter Jagers, Fima Klebaner.

Source: Bernoulli, Volume 26, Number 2, 893--926.

Abstract:
We consider a family of general branching processes with reproduction parameters depending on the age of the individual as well as the population age structure and a parameter $K$, which may represent the carrying capacity. These processes are Markovian in the age structure. In a previous paper ( Proc. Steklov Inst. Math. 282 (2013) 90–105), the Law of Large Numbers as $K o infty $ was derived. Here we prove the central limit theorem, namely the weak convergence of the fluctuation processes in an appropriate Skorokhod space. We also show that the limit is driven by a stochastic partial differential equation.