Changes in foot posture during pregnancy and their relation with musculoskeletal pain: A longitudinal cohort study

Aim

To examine foot posture changes during the three trimesters of pregnancy and to determine whether there is a relationship between these changes and the pain experienced in this period.

Determinants of approval of the work of truth commissions in the southern cone: a comparative study / Determinantes de la aprobación del trabajo realizado por las Comisiones de Verdad y Reconciliación en el cono sur: un estudio comparativo

The socio-demographic and psychosocial approval determinants of the work conducted by the truth and reconciliation commissions (TRC) are analysed based on original survey data from Chilean, Argentinian and Peruvian samples (N = 2,947). A linear multiple regression analysis was carried out (R² between .28 and .44; f² between .45 and .78) which reveals the positive effect of commission functions perceived achievement, mainly the knowledge of truth (β = .28), justice (β = .15) and the contribution in creating a common history (β = .15). An analysis by country reveals in Chile salient variables such as institutional trust, political ideas, institutional apologies and hope and sadness emotions. In Argentina, together with TRC functions, the degree of information about the work of the commission and the perception of a negative social climate appear as relevant predictors. As regards Peru, the degree of exposure to violence appears as a good predictor of TRC’s work support. The results show the relevance of TRC functions’ fulfillment, as well as the role of institutional variables in the approval of the work they have done.     

Crimes and violence in Mexico: Evidence from panel data

Drug-related violence is now an everyday occurrence in Mexico's northern border-states. While it often appears that all crimes are on the rise in the border region, the actual number of alleged offenders caught and brought to court differs significantly for different types of crime. Using panel data for Mexico's 31 states plus the Federal District from 2004 to 2008, it was found that there were more alleged offenders caught per 100,000 inhabitants involving theft, property damage, and carrying prohibited arms, in Mexico's northern border-states compared to interior states. The effects of other socioeconomic variables on crime in Mexico, such as GDP, incarceration rates, births to single mothers and expenditures on public security, were also examined.     

Incorporating historical two‐arm data in clinical trials with binary outcome: A practical approach

The feasibility of a new clinical trial may be increased by incorporating historical data of previous trials. In the particular case where only data from a single historical trial are available, there exists no clear recommendation in the literature regarding the most favorable approach. A main problem of the incorporation of historical data is the possible inflation of the type I error rate. A way to control this type of error is the so‐called power prior approach. This Bayesian method does not “borrow” the full historical information but uses a parameter 0 ≤ δ ≤ 1 to determine the amount of borrowed data. Based on the methodology of the power prior, we propose a frequentist framework that allows incorporation of historical data from both arms of two‐armed trials with binary outcome, while simultaneously controlling the type I error rate. It is shown that for any specific trial scenario a value δ > 0 can be determined such that the type I error rate falls below the prespecified significance level. The magnitude of this value of δ depends on the characteristics of the data observed in the historical trial. Conditionally on these characteristics, an increase in power as compared to a trial without borrowing may result. Similarly, we propose methods how the required sample size can be reduced. The results are discussed and compared to those obtained in a Bayesian framework. Application is illustrated by a clinical trial example.     

Measuring emotional intelligence in Moroccan Arabic: the Wong and Law Emotional Intelligence Scale / Medidas de la inteligencia emocional en árabe marroquí: la escala de inteligencia emocional de Wong y Law

Emotional intelligence is a widespread concept that has been analysed in different countries. However, it has been barely measured in African-Arab societies’ cultures due to their scarce tradition in validating instruments. In Morocco, the mere translation of instruments is a common practice that should be avoided to incorporate cultural and linguistic singularities. Thus, the aim of our study was to culturally adapt the Wong and Law Emotional Intelligence Scale to Morocco. This version could be widely used in other Arab North African countries and among immigrants in hosting countries. Two hundred and seventy-three Arab undergraduates (178 women and 95 men; age M = 22.17, SD = 4.09) from Morocco completed a questionnaire adapted to their culture following the back translation method. To determine construct validity, data were analysed by means of confirmatory factor analysis. The final scale resulted in a second-order factorial model with four first-order factors compounded by 16 items. This structure supports the original for Moroccan Arabic and other countries in which Arabic is spoken. Likewise, the results confirm an adequate criterion validity of the instrument.     

Additive outliers in INAR(1) models

In this paper the integer-valued autoregressive model of order one, contaminated with additive outliers is studied in some detail. Moreover, parameter estimation is also addressed. Supposing that the timepoints of the outliers are known but their sizes are unknown, we prove that the conditional least squares (CLS) estimators of the offspring and innovation means are strongly consistent. In contrast, however, the CLS estimators of the outliers’ sizes are not strongly consistent, although they converge to a random limit with probability 1. We also prove that the joint CLS estimator of the offspring and innovation means is asymptotically normal. Conditionally on the values of the process at the timepoints neighboring to the outliers’ occurrences, the joint CLS estimator of the sizes of the outliers is also asymptotically normal.     

Rating the Rich: An Ordinal Classification to Determine Which Rich Countries are Helping Poorer Ones the Most

When talking about poverty, a lot of energy is expended by academics and sociologists in the identification and classification of the poor. Less attention is paid to classifying the rich. The Center for Global Development created the Commitment to Development Index in 2003, which ranks countries according to their contribution to the reduction of poverty in developing countries. Since its first report, “Ranking the rich, the Index has been quite successful. However, it has also been subject to multiple criticisms. This paper proposes the use of an ordinal classification to rate, not rank, the performance of rich countries. An ordinal classification, where an ordinal scale labels the examples, can help discovering the level of each country’s commitment to development, automatically and independently from others’ performances. It could stimulate both advocacy from civil society and the determination of more coherent public policies in rich countries for poorer ones.The methodology used is Artificial Neural Networks, a common machine learning tool for successfully solving classification problems. Experiments yield robust results, showing better outcomes than other alternative ordinal classifiers, opening the possibility of developing a classification technique which could overcome the limitations of the current ranking technique.     

The Rate of Convergence of some Asymptotic Expansions for Distribution Approximations via an Esseen Type Estimate

Some asymptotic expansions not necessarily related to the central limit theorem are studied. We first observe that the smoothing inequality of Esseen implies the proximity, in the Kolmogorov distance sense, of the distributions of the random variables of two random sequences satisfying a sort of general asymptotic relation. We then present several instances of this observation. A first example, partially motivated by the the statistical theory of high precision measurements, is given by a uniform asymptotic approximation to (g(X + μ _n )) _n∈?, where g is some smooth function, X is a random variable and (μ _n ) _n∈? is a sequence going to infinity; a multivariate version is also stated and proved. We finally present a second class of examples given by a randomization of the interesting parameter in some classical asymptotic formulas; namely, a generic Laplace's type integral, randomized by the sequence (μ _n X) _n∈?, X being a Gamma distributed random variable.