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Dependency, democracy, and infant mortality: a quantitative, cross-national analysis of less developed countries

John M Shandra1, Jenna Nobles, Bruce London

  • 1Department of Sociology, Boston College, McGuinn Hall, 140 Commonwealth Avenue, Chestnut Hill, MA 02467-3807, USA. shandra@bc.ed

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Applications of Life Tables

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Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
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Statistical Methods for Analyzing Epidemiological Data

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Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
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Confounding in Epidemiological Studies

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