Contributions of the National Incident-Based Reporting System to Substantive Knowledge in Criminology: A Review of Research

The National Incident-Based Reporting System (NIBRS) data have been available to the research community for about a decade. The advantages of NIBRS over other official statistics such as summary Uniform Crime Reports, Supplementary Homicide Reports, and the National Crime Victimization Survey have contributed to better evaluation of a number of theoretical perspectives in criminology and criminal justice, and have helped in suggesting possible policy implications. This paper reviews studies using the NIBRS data in the areas of crime clearance, crime rates disaggregated by situational context (including domestic violence, race-specific crime, and gun crime), and lethal and non-lethal outcomes of violent encounters. The paper also discusses limitations of the NIBRS data and cautions for its use, along with future research possibilities.     

Understanding predictive information criteria for Bayesian models

We review the Akaike, deviance, and Watanabe-Akaike information criteria from a Bayesian perspective, where the goal is to estimate expected out-of-sample-prediction error using a bias-corrected adjustment of within-sample error. We focus on the choices involved in setting up these measures, and we compare them in three simple examples, one theoretical and two applied. The contribution of this paper is to put all these information criteria into a Bayesian predictive context and to better understand, through small examples, how these methods can apply in practice.     

Innovation in family firms: an empirical analysis linking organizational and managerial innovation to corporate success

Family firms play a significant role in national economies worldwide, accounting e.g. for 85% of all enterprises in the OECD countries as well as for the majority of companies in Central Europe. Previous scholarly research on family firms has mostly focused on the question of how they differ from public corporations, describing family firms as being more conservative, less risk-raking, or reluctant to grow—in sum, as being less entrepreneurial than their non-family counterparts. Similarly, the existing literature often criticizes the lack of innovation in family firms. But since innovation has long been discovered as one of the key drivers to company success, it is surprising that its role in family firms has been mostly neglected in existing academic research so far. The aim of this article is therefore to study the role of (managerial and organizational) innovation in family firms compared to non-family firms on the basis of an empirical survey of 533 companies from Finland, using structural equation modelling (MPlus) for the statistical analyses.     

Restricted mean survival time as a summary measure of time‐to‐event outcome

Many clinical research studies evaluate a time‐to‐event outcome, illustrate survival functions, and conventionally report estimated hazard ratios to express the magnitude of the treatment effect when comparing between groups. However, it may not be straightforward to interpret the hazard ratio clinically and statistically when the proportional hazards assumption is invalid. In some recent papers published in clinical journals, the use of restricted mean survival time (RMST) or τ ‐year mean survival time is discussed as one of the alternative summary measures for the time‐to‐event outcome. The RMST is defined as the expected value of time to event limited to a specific time point corresponding to the area under the survival curve up to the specific time point. This article summarizes the necessary information to conduct statistical analysis using the RMST, including the definition and statistical properties of the RMST, adjusted analysis methods, sample size calculation, information fraction for the RMST difference, and clinical and statistical meaning and interpretation. Additionally, we discuss how to set the specific time point to define the RMST from two main points of view. We also provide developed SAS codes to determine the sample size required to detect an expected RMST difference with appropriate power and reconstruct individual survival data to estimate an RMST reference value from a reported survival curve.     

The Welfare Consequences of Strategic Voting in Two Commonly Used Parliamentary Agendas

This paper studies the welfare consequences of strategic voting in two commonly used parliamentary agendas by comparing the average utilities obtained in simulated voting under two behavioural assumptions: expected utility maximising behaviour and sincere behaviour. The average utility obtained in simulations is higher with expected utility maximising behaviour than with sincere voting behaviour under a broad range of assumptions. Strategic voting increases welfare particularly if the distribution of preference intensities correlates with voter types.      

Community-Based System,Reports, and Substantiated Cases of Elder Abuse: Disparities Between Municipalities and Relating Factors in Japan

This study examines (1) the staffing and financial characteristics of systems for elder abuse detection and intervention in the municipal governments of Japan and (2) the relationship among the development of detection and intervention systems, the reporting rates of suspected elder abuse cases, and substantiated abuse rates in 927 municipalities across Japan. Progressive systems for the detection and intervention of elder abuse were significantly associated with a larger number of public officers than in non-progressive systems. Furthermore, greater rates of both suspected and substantiated cases of abuse were associated with progressive systems for elder abuse detection and intervention. Per capita annual expenditures on the comprehensive support project and the community general support center's catchment under the Long-Term Care Insurance (LTCI) program showed no significant association with the development of systems, the rate of suspected cases, or the number of substantiated cases. National social policy makers should examine strategies that would help municipalities assign sufficient staff to elder abuse detection and intervention programs.     

Benzene Risk Estimation Using Radiation Equivalent Coefficients

We estimated benzene risk using a novel framework of risk assessment that employed the measurement of radiation dose equivalents to benzene metabolites and a PBPK model. The highest risks for 1 μg/m³ and 3.2 mg/m³ life time exposure of benzene estimated with a linear regression were 5.4 × 10⁻⁷ and 1.3 × 10⁻³, respectively. Even though these estimates were based on in vitro chromosome aberration test data, they were about one-sixth to one-fourteenth that from other studies and represent a fairly good estimate by using radiation equivalent coefficient as an "internal standard."