86 research outputs found

    Culture, cognition, and collaborative networks in organizations

    Get PDF
    Abstract: This paper examines the interplay of culture, cognition, and social networks in organizations with norms that emphasize cross-boundary collaboration. In such settings, social desirability concerns can induce a disparity between how people view themselves in conscious (deliberative) and less conscious (automatic) cognition. These differences have implications for the resulting pattern of intra-organizational collaborative ties. Based on a laboratory study and field data from a biotechnology firm, the authors find that: (a) people consciously reported more positive views of themselves as collaborative actors than they appeared to hold in less conscious cognition; (b) less conscious collaborative-independent self-views were associated with the choice to enlist organizationally distant colleagues in collaboration; and (c) these self-views were also associated with a person's likelihood of being successfully enlisted by organizationally distant colleagues (i.e., of supporting these colleagues in collaboration). By contrast, consciously reported collaborative-independent self-views were not associated with these choices. The study contributes to our understanding of how culture is internalized in individual cognition and how self-related cognition is linked to social structure through collaboration choices. It also demonstrates the limits of self-reports in settings with strong normative pressures and represents a novel integration of methods from cognitive psychology and network analysis

    Factors Influencing the Statistical Power of Complex Data Analysis Protocols for Molecular Signature Development from Microarray Data

    Get PDF
    Critical to the development of molecular signatures from microarray and other high-throughput data is testing the statistical significance of the produced signature in order to ensure its statistical reproducibility. While current best practices emphasize sufficiently powered univariate tests of differential expression, little is known about the factors that affect the statistical power of complex multivariate analysis protocols for high-dimensional molecular signature development.We show that choices of specific components of the analysis (i.e., error metric, classifier, error estimator and event balancing) have large and compounding effects on statistical power. The effects are demonstrated empirically by an analysis of 7 of the largest microarray cancer outcome prediction datasets and supplementary simulations, and by contrasting them to prior analyses of the same data.THE FINDINGS OF THE PRESENT STUDY HAVE TWO IMPORTANT PRACTICAL IMPLICATIONS: First, high-throughput studies by avoiding under-powered data analysis protocols, can achieve substantial economies in sample required to demonstrate statistical significance of predictive signal. Factors that affect power are identified and studied. Much less sample than previously thought may be sufficient for exploratory studies as long as these factors are taken into consideration when designing and executing the analysis. Second, previous highly-cited claims that microarray assays may not be able to predict disease outcomes better than chance are shown by our experiments to be due to under-powered data analysis combined with inappropriate statistical tests

    The Law and Economics of Liability Insurance: A Theoretical and Empirical Review

    Full text link

    Entrepreneurs, Firms and Global Wealth Since 1850

    Full text link

    Factors Associated with Revision Surgery after Internal Fixation of Hip Fractures

    Get PDF
    Background: Femoral neck fractures are associated with high rates of revision surgery after management with internal fixation. Using data from the Fixation using Alternative Implants for the Treatment of Hip fractures (FAITH) trial evaluating methods of internal fixation in patients with femoral neck fractures, we investigated associations between baseline and surgical factors and the need for revision surgery to promote healing, relieve pain, treat infection or improve function over 24 months postsurgery. Additionally, we investigated factors associated with (1) hardware removal and (2) implant exchange from cancellous screws (CS) or sliding hip screw (SHS) to total hip arthroplasty, hemiarthroplasty, or another internal fixation device. Methods: We identified 15 potential factors a priori that may be associated with revision surgery, 7 with hardware removal, and 14 with implant exchange. We used multivariable Cox proportional hazards analyses in our investigation. Results: Factors associated with increased risk of revision surgery included: female sex, [hazard ratio (HR) 1.79, 95% confidence interval (CI) 1.25-2.50; P = 0.001], higher body mass index (fo
    • …
    corecore