The Experts below are selected from a list of 30 Experts worldwide ranked by ideXlab platform

Chen Hui-bo - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation on the Effectiveness of Case Teaching Method in Epidemiology
    Preventive Medicine Tribune, 2007
    Co-Authors: Chen Hui-bo
    Abstract:

    [Objective]To investigate the effectiveness of case teaching Method in epidemiological teaching.[Methods]On Feb.2007,a survey was conducted in the students of clinical and nursing medicine for the effectiveness in the case teaching with cluster sampling in Weifang Medical University.[Results]106 students were surveyed.There were 51.96% students who thought both the case teaching and theoretic teaching would be equally important and 37.40% students who suggested determining the teaching Methods according to different contents.77.32% students were satisfied with the case teaching and most of students thought the case teaching could do help to understand the theory.[Conclusion]The case teaching Method was one of the better teaching Methods in epidemiological teaching but it should be reformed and enhanced.

Jennie T. Nickel - One of the best experts on this subject based on the ideXlab platform.

  • Case-control design: an appropriate strategy for nursing research.
    Nursing research, 1992
    Co-Authors: Barbara J. Polivka, Jennie T. Nickel
    Abstract:

    The case-control design is a well-established research Method in Epidemiology and has considerable potential for nursing research. It is particularly appropriate for studying health or service outcomes that occur relatively infrequently and offer advantages in time, sample size, and resource requirements. While the retrospective observational nature of the design presents challenges in selection of subjects, avoidance of biases, and control confounding, the processes for managing these pitfalls are increasingly being explored. The analysis is straightforward and presents estimates of risk that are clearly interpretable by the nurse researcher, the policy makers, and other research consumers.

Liu Ming - One of the best experts on this subject based on the ideXlab platform.

  • RELATIVE RISK ANALYSIS ON RISK FACTORS OF MEDICAL inSURANCE.
    Modern Preventive Medicine, 2004
    Co-Authors: Liu Ming
    Abstract:

    Objective:in this paper,we focus on how to describe quantitative relationship between the medical insurance claim/loss and risk factors.Methods:The relative risk analysis Method in Epidemiology is used for references in our research.Results:According to the case study,the OR (odds ratio) given by the logistic regression model is a good measurement.Conclusion:Thus a new Method and quantitative analysis to control risks in medical insurance are given.

Barbara J. Polivka - One of the best experts on this subject based on the ideXlab platform.

  • Case-control design: an appropriate strategy for nursing research.
    Nursing research, 1992
    Co-Authors: Barbara J. Polivka, Jennie T. Nickel
    Abstract:

    The case-control design is a well-established research Method in Epidemiology and has considerable potential for nursing research. It is particularly appropriate for studying health or service outcomes that occur relatively infrequently and offer advantages in time, sample size, and resource requirements. While the retrospective observational nature of the design presents challenges in selection of subjects, avoidance of biases, and control confounding, the processes for managing these pitfalls are increasingly being explored. The analysis is straightforward and presents estimates of risk that are clearly interpretable by the nurse researcher, the policy makers, and other research consumers.

Mark A. Stadtherr - One of the best experts on this subject based on the ideXlab platform.

  • Verified Solution of Nonlinear Dynamic Models in Epidemiology
    Progress in Industrial Mathematics at ECMI 2008, 2010
    Co-Authors: Joshua A. Enszer, Mark A. Stadtherr
    Abstract:

    Epidemiological models can be used to study the impact of an infectious disease within a population. These models often involve parameters that are not known with certainty. A Method is described for bounding the disease trajectories that are possible for given bounds on uncertain parameters and/or initial states. The Method is based on the use of an interval Taylor series to represent dependence on time and the use of Taylor models to represent dependence on uncertain quantities. The use of this Method in Epidemiology is demonstrated using the SIRS model.

  • Verified Solution Method for Population Epidemiology Models with Uncertainty
    International Journal of Applied Mathematics and Computer Science, 2009
    Co-Authors: Joshua A. Enszer, Mark A. Stadtherr
    Abstract:

    Epidemiological models can be used to study the impact of an infection within a population. These models often involve parameters that are not known with certainty. Using a Method for verified solution of nonlinear dynamic models, we can bound the disease trajectories that are possible for given bounds on the uncertain parameters. The Method is based on the use of an interval Taylor series to represent dependence on time and the use of Taylor models to represent dependence on uncertain parameters and/or initial conditions. The use of this Method in Epidemiology is demonstrated using the SIRS model, and other variations of Kermack-McKendrick models, including the case of time-dependent transmission.