London : J. Murray, 1894.

[Place of publication not identified] : [publisher not identified], [1897?]

Paris : Georges Carre, 1896.

London : Longmans, Green, 1902.

Jena : Fischer, 1905.

Boston : Wright & Potter Printing Co, 1898.

London : J. Churchill, 1861.

London : Bailliere, Tindall and Cox, 1884.

Paris, [France] : J.B. Baillière, Libraire de l'Académie Impériale de Médicine, 1857.

Rockville, Maryland : National Institute on Drug Abuse, 1987.

This paper presents a new open source Python framework for causal discovery from observational data and domain background knowledge, aimed at causal graph and causal mechanism modeling. The cdt package implements an end-to-end approach, recovering the direct dependencies (the skeleton of the causal graph) and the causal relationships between variables. It includes algorithms from the `Bnlearn' and `Pcalg' packages, together with algorithms for pairwise causal discovery such as ANM.

We present a theoretical analysis framework for relational ensemble models. We show that ensembles of collective classifiers can improve predictions for graph data by reducing errors due to variance in both learning and inference. In addition, we propose a relational ensemble framework that combines a relational ensemble learning approach with a relational ensemble inference approach for collective classification. The proposed ensemble techniques are applicable for both single and multiple graph settings. Experiments on both synthetic and real-world data demonstrate the effectiveness of the proposed framework. Finally, our experimental results support the theoretical analysis and confirm that ensemble algorithms that explicitly focus on both learning and inference processes and aim at reducing errors associated with both, are the best performers.

Weiping Zhang, Jiangli Wang, Fang Qian, Yu Chen.

Source: Brazilian Journal of Probability and Statistics, Volume 34, Number 1, 35--50.

Abstract:
Longitudinal zero-inflated count data are widely encountered in many fields, while modeling the correlation between measurements for the same subject is more challenge due to the lack of suitable multivariate joint distributions. This paper studies a novel mean-correlation modeling approach for longitudinal zero-inflated regression model, solving both problems of specifying joint distribution and parsimoniously modeling correlations with no constraint. The joint distribution of zero-inflated discrete longitudinal responses is modeled by a copula model whose correlation parameters are innovatively represented in hyper-spherical coordinates. To overcome the computational intractability in maximizing the full likelihood function of the model, we further propose a computationally efficient pairwise likelihood approach. We then propose separated mean and correlation regression models to model these key quantities, such modeling approach can also handle irregularly and possibly subject-specific times points. The resulting estimators are shown to be consistent and asymptotically normal. Data example and simulations support the effectiveness of the proposed approach.

We propose a novel estimation procedure for scale-by-scale lead-lag relationships of financial assets observed at high-frequency in a non-synchronous manner. The proposed estimation procedure does not require any interpolation processing of original datasets and is applicable to those with highest time resolution available. Consistency of the proposed estimators is shown under the continuous-time framework that has been developed in our previous work Hayashi and Koike (2018). An empirical application to a quote dataset of the NASDAQ-100 assets identifies two types of lead-lag relationships at different time scales.

Shurong Zheng, Guanghui Cheng, Jianhua Guo, Hongtu Zhu.

Source: The Annals of Statistics, Volume 47, Number 5, 2887--2921.

Abstract:
Testing correlation structures has attracted extensive attention in the literature due to both its importance in real applications and several major theoretical challenges. The aim of this paper is to develop a general framework of testing correlation structures for the one , two and multiple sample testing problems under a high-dimensional setting when both the sample size and data dimension go to infinity. Our test statistics are designed to deal with both the dense and sparse alternatives. We systematically investigate the asymptotic null distribution, power function and unbiasedness of each test statistic. Theoretically, we make great efforts to deal with the nonindependency of all random matrices of the sample correlation matrices. We use simulation studies and real data analysis to illustrate the versatility and practicability of our test statistics.

Mohamad Elmasri, Maxwell J. Farrell, T. Jonathan Davies, David A. Stephens.

Source: The Annals of Applied Statistics, Volume 14, Number 1, 221--240.

Abstract:
Identifying undocumented or potential future interactions among species is a challenge facing modern ecologists. Recent link prediction methods rely on trait data; however, large species interaction databases are typically sparse and covariates are limited to only a fraction of species. On the other hand, evolutionary relationships, encoded as phylogenetic trees, can act as proxies for underlying traits and historical patterns of parasite sharing among hosts. We show that, using a network-based conditional model, phylogenetic information provides strong predictive power in a recently published global database of host-parasite interactions. By scaling the phylogeny using an evolutionary model, our method allows for biological interpretation often missing from latent variable models. To further improve on the phylogeny-only model, we combine a hierarchical Bayesian latent score framework for bipartite graphs that accounts for the number of interactions per species with host dependence informed by phylogeny. Combining the two information sources yields significant improvement in predictive accuracy over each of the submodels alone. As many interaction networks are constructed from presence-only data, we extend the model by integrating a correction mechanism for missing interactions which proves valuable in reducing uncertainty in unobserved interactions.

Zhuang Ma, Xiaodong Li.

Source: Bernoulli, Volume 26, Number 1, 432--470.

Abstract:
Canonical correlation analysis (CCA) is a fundamental statistical tool for exploring the correlation structure between two sets of random variables. In this paper, motivated by the recent success of applying CCA to learn low dimensional representations of high dimensional objects, we propose two losses based on the principal angles between the model spaces spanned by the sample canonical variates and their population correspondents, respectively. We further characterize the non-asymptotic error bounds for the estimation risks under the proposed error metrics, which reveal how the performance of sample CCA depends adaptively on key quantities including the dimensions, the sample size, the condition number of the covariance matrices and particularly the population canonical correlation coefficients. The optimality of our uniform upper bounds is also justified by lower-bound analysis based on stringent and localized parameter spaces. To the best of our knowledge, for the first time our paper separates $p_{1}$ and $p_{2}$ for the first order term in the upper bounds without assuming the residual correlations are zeros. More significantly, our paper derives $(1-lambda_{k}^{2})(1-lambda_{k+1}^{2})/(lambda_{k}-lambda_{k+1})^{2}$ for the first time in the non-asymptotic CCA estimation convergence rates, which is essential to understand the behavior of CCA when the leading canonical correlation coefficients are close to $1$.

Rajarshi Guhaniyogi, Abel Rodriguez.

Source: Bayesian Analysis, Volume 15, Number 2, 477--503.

Abstract:
This article proposes a framework based on shared, time varying stochastic latent factor models for modeling relational data in which network and node-attributes co-evolve over time. Our proposed framework is flexible enough to handle both categorical and continuous attributes, allows us to estimate the dimension of the latent social space, and automatically yields Bayesian hypothesis tests for the association between network structure and nodal attributes. Additionally, the model is easy to compute and readily yields inference and prediction for missing link between nodes. We employ our model framework to study co-evolution of international relations between 22 countries and the country specific indicators over a period of 11 years.

Joris Mulder, Jean-Paul Fox.

Source: Bayesian Analysis, Volume 14, Number 2, 521--552.

Abstract:
The intraclass correlation plays a central role in modeling hierarchically structured data, such as educational data, panel data, or group-randomized trial data. It represents relevant information concerning the between-group and within-group variation. Methods for Bayesian hypothesis tests concerning the intraclass correlation are proposed to improve decision making in hierarchical data analysis and to assess the grouping effect across different group categories. Estimation and testing methods for the intraclass correlation coefficient are proposed under a marginal modeling framework where the random effects are integrated out. A class of stretched beta priors is proposed on the intraclass correlations, which is equivalent to shifted $F$ priors for the between groups variances. Through a parameter expansion it is shown that this prior is conditionally conjugate under the marginal model yielding efficient posterior computation. A special improper case results in accurate coverage rates of the credible intervals even for minimal sample size and when the true intraclass correlation equals zero. Bayes factor tests are proposed for testing multiple precise and order hypotheses on intraclass correlations. These tests can be used when prior information about the intraclass correlations is available or absent. For the noninformative case, a generalized fractional Bayes approach is developed. The method enables testing the presence and strength of grouped data structures without introducing random effects. The methodology is applied to a large-scale survey study on international mathematics achievement at fourth grade to test the heterogeneity in the clustering of students in schools across countries and assessment cycles.

Peter D. Hoff

Source: Bayesian Anal., Volume 6, Number 2, 179--196.

Abstract:
Modern datasets are often in the form of matrices or arrays, potentially having correlations along each set of data indices. For example, data involving repeated measurements of several variables over time may exhibit temporal correlation as well as correlation among the variables. A possible model for matrix-valued data is the class of matrix normal distributions, which is parametrized by two covariance matrices, one for each index set of the data. In this article we discuss an extension of the matrix normal model to accommodate multidimensional data arrays, or tensors. We show how a particular array-matrix product can be used to generate the class of array normal distributions having separable covariance structure. We derive some properties of these covariance structures and the corresponding array normal distributions, and show how the array-matrix product can be used to define a semi-conjugate prior distribution and calculate the corresponding posterior distribution. We illustrate the methodology in an analysis of multivariate longitudinal network data which take the form of a four-way array.

MN Shadlen
Feb 15, 1996; 16:1486-1510
Articles

Randy L. Buckner
Feb 11, 2009; 29:1860-1873
Neurobiology of Disease

Behavior can be guided by neuronal activity in visual, auditory, or somatosensory cerebral cortex, depending on task requirements. In contrast to this flexible access of cortical signals, several observations suggest that behaviors depend more on neurons in later areas of visual cortex than those in earlier areas, although neurons in earlier areas would provide more reliable signals for many tasks. We recorded from neurons in different levels of visual cortex of 2 male rhesus monkeys while the animals did a visual discrimination task and examined trial-to-trial correlations between neuronal and behavioral responses. These correlations became stronger in primary visual cortex as neuronal signals in that area became more reliable relative to the other areas. The results suggest that the mechanisms that read signals from cortex might access any cortical area depending on the relative value of those signals for the task at hand.

SIGNIFICANCE STATEMENT Information is encoded by the action potentials of neurons in various cortical areas in a hierarchical manner such that increasingly complex stimulus features are encoded in successive stages. The brain must extract information from the response of appropriate neurons to drive optimal behavior. A widely held view of this decoding process is that the brain relies on the output of later cortical areas to make decisions, although neurons in earlier areas can provide more reliable signals. We examined correlations between perceptual decisions and the responses of neurons in different levels of monkey visual cortex. The results suggest that the brain may access signals in any cortical area depending on the relative value of those signals for the task at hand.

Qualcomm CEO Steve Mollenkopf in an interview on Thursday said the chipmaker's relationship with Apple has greatly improved since the two companies ended a bitter legal battle over patent licensing and royalties in 2019.

God not only rescued Kamil and Klaudia's marriage but also transformed their relationships with Him.

OM New Zealand builds relationships with churches and cares for the 50-some New Zealanders serving in cross-cultural missions.

Dr. Debbie Silver, Dr. PJ Caposey, Serena Pariser, Timothy Hilton, Dr. Beth Gotcher, Paula Mellom, Rebecca Hixon, and Jodi Weber offer their commentaries on how best to handle classroom management.

For three decades now, the artist and playwright John Byrne has been sitting regularly for photographer David Eustace, the Glasgow-born photographer who left school at 16 and joined first the navy and then the prison service before settling on a career behind a camera.

The quality of the relationship between mother and child affects the child’s neurodevelopment, emotion regulation, and stress response. Extreme or sustained stress responses are associated with dysregulation of physiologic systems involved in energy balance, which could lead to obesity.

The prevalence of obesity in adolescence was more than twice as high among those youth who in early childhood had poor-quality relationships with their mothers compared with those with better relationships. (Read the full article)

Staphylococcus aureus is a leading cause of infections in infants. Staphylococcal colonization is a known risk factor for infection, but whether maternal colonization plays a role in subsequent colonization in the infant is unclear.

This prospective study found that infants born to women colonized with S aureus either during their third trimester of pregnancy or at the time of delivery are more likely to harbor S aureus than are those born to noncolonized women. (Read the full article)

Although morbidity-free survival for preterm infants has remained constant in US NICUs when assessed collectively, morbidity-free survival differs among centers. Center-specific practices before, at, or after delivery might affect outcomes of the most premature infants.

Our findings suggest that the approach taken to infants at the limits of viability is associated with outcomes of more-mature infants. Identifying centers with higher survival and lower morbidity might lead to identification of key practices to improve morbidity-free survival. (Read the full article)

Childhood abuse has been associated with obesity risk in adulthood. Little is known regarding the impact of abuse severity on risk, potential mechanisms are poorly understood, and few studies have been conducted among minority populations.

Severity of child/teenager physical and sexual abuse is associated with increased risk for adult obesity and/or central adiposity in adulthood. These are the first such findings in a large cohort of US black women. (Read the full article)

A dose-response relationship exists between light irradiance and decrease of total serum bilirubin concentration (TsB) at relatively low irradiances. It has been questioned whether by increasing irradiance a "saturation point" exists, above which no further decrease of TsB is seen.

We found a linear relation between light irradiance in the range of 20 to 55 μW/cm²/nm and decrease in TsB after 24 hours of therapy, with no evidence of a saturation point. (Read the full article)

Asthma is a common focus of pediatric quality improvement efforts. Various processes of care have been postulated as markers of high-quality pediatric asthma care, but it is not clear which processes correlate with a lower risk of asthma exacerbations.

This study analyzed the correlation of processes of care identifiable through administrative data with asthma exacerbations. The use of 0 vs ≥1 controller medications and the asthma medication ratio had the strongest correlation with asthma exacerbations. (Read the full article)

Cow’s milk consumption has opposite effects on vitamin D and iron levels in children; however, the amount of cow’s milk intake required for sufficient stores of vitamin D and iron is poorly understood, and existing guidelines on consumption are unclear.

Two cups of cow’s milk per day is sufficient to maintain healthy vitamin D and iron stores for most children. Wintertime vitamin D supplementation appears particularly important among children with darker skin pigmentation. (Read the full article)

Many children exceed the American Academy of Pediatrics' recommendation to limit non-educational screen media to < 2 hours per day. The household media environment shapes children's television viewing (TVV), and heavy screen time is associated with poor health outcomes.

Parent TVV is a stronger predictor of child TVV than traditional media "access" and "rules" variables regardless of child age. This research highlights an important factor of child TVV that has been underemphasized in most studies and outreach efforts. (Read the full article)

Tympanometry provides a measure of middle ear function. There has been no description of the relationship between measurements of middle ear function in the absence of gross anatomic defects and clinical outcome among children with acute nontraumatic coma.

This study reveals an unexpected association between abnormal middle ear function and death in childhood acute coma. These findings call for more investigations on the relationship between middle and inner ear anatomy and function and intracranial dynamics and clinical outcomes. (Read the full article)

Breast milk is protective against many conditions, but its role in allergy has not been established. Infant-feeding recommendations support exclusive breastfeeding for 26 weeks, whereas allergy prevention recommendations advise exclusive breastfeeding for 4 to 6 months with continued breastfeeding thereafter.

Evidence that continued breastfeeding while solids are introduced into the diet and delaying the introduction of solids until at least 17 weeks of age are associated with fewer food allergies. (Read the full article)

Adolescent relationship abuse (ARA) is prevalent in confidential clinic settings such as school health centers (SHCs) and is associated with poor health outcomes. No evidence-based interventions target reduction of ARA in the SHC setting.

This study provides the first evidence of the potential benefits of a brief provider-delivered universal education and counseling intervention in SHCs to address and prevent a major public health problem: ARA. (Read the full article)

Adults born very preterm or with very low birth weight have a lower likelihood of leaving their childhood home, and starting romantic relationships, and are older when experiencing first intercourse or having their first child than their term-born peers.

Compared with term-born individuals, those born preterm perceived themselves less attractive and were less likely to have cohabited or experienced first-time sexual intercourse by young adulthood. This outcome indicates that social outcomes are different among preterm-born individuals. (Read the full article)

Youth drinking is associated with adult drinking. Alcohol policies can influence youth and adult drinking. However, it is unknown whether alcohol policies influence youth drinking patterns directly or through their effect on adult drinking.

Alcohol policies, including population-oriented policies, are protective for youth drinking. The effect of population-oriented policies may be mediated though effects on adults. These findings suggest that efforts to reduce youth drinking should rely on policies that address all age groups. (Read the full article)

For OMers working in Angola, the key to successful ministry has been time investing in relationships.

The SHV β-lactamases (BLs) have undergone strong allele diversification that changed their substrate specificities. Based on 147 NCBI entries for SHV alleles, in silico mathematical models predicted five positions as relevant for the β-lactamase inhibitor (BLI) resistant (2br) phenotype, 12 as relevant for the extended-spectrum BL (ESBL) (2be) phenotype, and two positions were related to solely the narrow spectrum (2b) phenotype. These positions and additional 6 positions described in other studies (including one promoter mutation), were systematically substituted and investigated for their substrate specificities in a BL-free E. coli background, representing, to our knowledge, the most comprehensive substrate and substitution analysis for SHV alleles to date. An in vitro analysis confirmed the essentiality of the positions 238 and 179 for the 2be phenotype and 69 for the 2br phenotype. The substitutions E240K and E240R, which do not occur alone in known 2br SHV variants, led to a 2br phenotype, indicating a latent BLI-resistance potential of these substitutions. The substitutions M129V, A234G, S271I and R292Q conferred latent resistance to cefotaxime. In addition, 7 positions that were found to be not always associated with the ESBL phenotype resulted in increased resistance to ceftaroline. We also observed that coupling of a strong promoter (IS26) to a A146V mutant with the 2b phenotype resulted in a highly increased resistance to BLIs, cefepime and ceftaroline but not to 3^rd generation cephalosporins, indicating that SHV enzymes represent an underestimated risk for empirical therapies that use piperacillin/tazobactam or cefepime to treat different infectious diseases caused by gram-negatives.

Baloxavir marboxil, a prodrug of cap-dependent endonuclease inhibitor, baloxavir acid, reduces the time to improvement of influenza symptoms in patients infected with type A or B influenza virus. To characterize its pharmacokinetics, a population pharmacokinetic model for baloxavir acid was developed using 11846 plasma concentration data items from 1827 subjects including 2341 plasma concentration data items from 664 patients at high risk of influenza complications. A three-compartment model with first-order elimination and first-order absorption with lag time well described the plasma concentration data. Body weight and race were found to be the most important factors influencing clearance and volume of distribution. The exposures in high-risk patients were similar to those in otherwise healthy patients, and no pharmacokinetic difference was identified regarding any risk factors for influenza complications.

Exposure-response analyses were performed regarding the time to improvement of symptoms and the reduction in the influenza virus titer in high-risk patients. The analyses suggested that body weight-based dosage, 40 mg for patients weighing < 80 kg and 80 mg for patients weighing ≥ 80 kg, can shorten the time to improvement of influenza symptoms and reduce virus titer for both type A and B influenza virus regardless of the exposure levels of the high-risk patients as well as for the otherwise healthy influenza patients.

The results of our population pharmacokinetic and exposure-response analyses in patients with risk factors of influenza complications should provide useful information on the pharmacokinetic and pharmacodynamic characteristics of baloxavir marboxil and also for the optimization of dose regimens.

Manogepix (APX001A) is the active moiety of the novel drug candidate fosmanogepix (APX001). We previously reported the broad-spectrum activity of manogepix but also observed a correlation between increased manogepix and fluconazole MICs. Here we extended this study and included isolates with acquired fluconazole resistance.

Isolates (n=835) were identified using CHROMagar, MALDI-TOF and, when needed, ITS-sequencing. EUCAST E.Def 7.3.1 susceptibility testing included manogepix, amphotericin B, anidulafungin, micafungin, fluconazole and voriconazole. Manogepix wildtype-upper-limit (WT-UL) values were established following EUCAST-principles for ECOFF setting allowing wildtype/non-wildtype classification. Drug-specific MIC correlations were investigated using Pearson's correlation.

Manogepix modal MICs were low (range 0.004-0.06 mg/L against 16/20 included species). Exceptions were C. krusei and C. inconspicua, and to a lesser extent C. kefyr and Pichia kluyveri. The activity was independent of Fks echinocandin hot-spot alterations (n=17). Adopting the WT-UL established for C. albicans, C. dubliniensis, C. glabrata, C. parapsilosis and C. tropicalis, 14/724 (1.9%) isolates were non-wildtype for manogepix. Twelve of these (85.7%) were also non-wildtype for fluconazole. A statistically significant correlation was observed between manogepix and fluconazole MICs for C. albicans, C. dubliniensis, C. glabrata, C. parapsilosis and C. tropicalis (Pearson r=0.401-0.575), but not between manogepix and micafungin or amphotericin B MICs for any species except C. tropicalis (r=0.519 for manogepix versus micafungin).

Broad-spectrum activity was confirmed for manogepix against contemporary yeast. However, a 1-4 two-fold-dilution increase in manogepix MICs is observed in a subset of isolates with acquired fluconazole resistance. Further studies on the potential underlying mechanism and implication for optimal dosing are warranted.

As part of Penn State's 2020 spring commencement activities, Matthew Solovey will represent the College of the Liberal Arts as its World Campus student marshal.

David S. Freedman
Jun 1, 1999; 103:1175-1182
ARTICLES

In an effort to strengthen relationships with local churches, OM Chile recently held a dinner for local pastors that featured international flavours and testimonies.

Teacher Adrianne G. Williams cultivates an environment where she focuses on students' interpersonal qualities as well as their academic ones. The students see her effort, she says, and the parents follow.