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Showing 1 to 10 of 10 for “"Type 1 error"”.

  1. Addressing the Issue of Meta-Analysis Multiplicity in Education and Psychology

    … increases the probability of committing a Type 1 error (i.e., deriving a false conclusion). Little attention has been paid, unfortunately, to multiplicity in meta-analysis (Tendal, Nuesch, Higgins, Juni, & Gotzsche, 2011) and calls have been made for meta-analysis methodologists to address …

    loyola-thes Repository record for Addressing the Issue of Meta-Analysis Multiplicity in Education and Psychology (opens in a new tab)

  2. Relationship Between Angiotensin Receptor Blockers and Cancer: A Nested Retrospective Longitudinal Cohort Study

    … Given this volume, although the probability of Type-1 error for a single project is constant, there is now higher likelihood that a publication that reports a significant relationship between exposure and outcome has arisen after suppression of many individual findings of non-significant …

    south-carolina Repository record for Relationship Between Angiotensin Receptor Blockers and Cancer: A Nested Retrospective Longitudinal Cohort Study (opens in a new tab)

  3. A Non-Parametric Approach to Change-Point Detection in Cross-Asset Correlations

    … data to measure the accuracy, power, and type 1 error associated with this new statistic. Finally, we were able to draw conclusions on the functionality and usefulness of this statistic.</p>

    gsu Repository record for A Non-Parametric Approach to Change-Point Detection in Cross-Asset Correlations (opens in a new tab)

  4. A new dimensionality estimation tool for multiple-item tests and a new DIF analysis paradigm based on multidimensionality and construct validity

    … testing of substantive DIF hypotheses, to reduce Type 1 error through a better understanding of the dimensionality of the matching criterion, and to increase power through the testing of bundles of items with similar content. Two new paradigm-based DIF analysis methods, one of which employed the …

    uiuc Repository record for A new dimensionality estimation tool for multiple-item tests and a new DIF analysis paradigm based on multidimensionality and construct validity (opens in a new tab)

  5. Exploring the Perceptions, Uses, Rhetoric, and Reality of ShotSpotter Gunshot Detection Technology Among Police Officers and Analysts

    … as “problem houses,” which may constitute a Type 1 error. These findings have several important implications. First, they raise questions about the usefulness of Micro Uses of ShotSpotter. Second, they echo the findings of previous research that indicate that police officers understand and …

    umkc Repository record for Exploring the Perceptions, Uses, Rhetoric, and Reality of ShotSpotter Gunshot Detection Technology Among Police Officers and Analysts (opens in a new tab)

  6. Beyond Parameter Estimation: Analysis of the Case-Cohort Design in Cox Models

    … and scaled Schoenfeld residuals show high Type 1 error rate. Model Comparison & Variable Selection: The methods of Lumley & Scott (2013, 2015) for modification of the Likelihood Ratio test (dLR), AIC (dAIC) and BIC (dBIC) in complex survey sampling are applied to case-cohort data and …

    cambridge Repository record for Beyond Parameter Estimation: Analysis of the Case-Cohort Design in Cox Models (opens in a new tab)

  7. Evaluating Alpha Spending Functions Applied to Observational Time-to-Event Analysis

    … is shown to restore proper control of the Type I error rate. Second, the study compares the performance of the Pocock and O’Brien-Fleming alpha spending functions, revealing that the Pocock method can become highly conservative under conditions of high censoring or small sample sizes. …

    sfasu Repository record for Evaluating Alpha Spending Functions Applied to Observational Time-to-Event Analysis (opens in a new tab)

  8. Developing a Neural Signal Processor Using the Extended Analog Computer

    … with the EAC simulator and the physical prototype to detect single fiber action potential from multiunit data streams derived from recorded raw electroneurograms. Exclusion error (type 1 error) and inclusion error (type 2 error) were calculated to evaluate the detection rate of the matched …

    iupui Repository record for Developing a Neural Signal Processor Using the Extended Analog Computer (opens in a new tab)

  9. Mathematical Modeling and Deconvolution for Molecular Characterization of Tissue Heterogeneity

    … arising from intermingled cellular or tissue subtypes, significantly obscures the analyses of molecular expression data derived from complex tissues. Existing computational methods performing data deconvolution from mixed subtype signals almost exclusively rely on supervising information, …

    vt Repository record for Mathematical Modeling and Deconvolution for Molecular Characterization of Tissue Heterogeneity (opens in a new tab)

  10. Topics on multiple hypotheses testing and generalized linear model

    … are proposed for controlling familiwise error rate (FWER). It is shown that the proposed procedures strongly control the FWER and are more powerful than the existing ones for discrete data. Through some simulation studies and real data examples, the proposed procedures are shown to …

    njit Repository record for Topics on multiple hypotheses testing and generalized linear model (opens in a new tab)