Item talk:Q168554: Difference between revisions

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{
{
   "id": "https://openalex.org/T14374",
   "OpenAlex": {
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    "display_name": "Methods for Sample Size Calculation in Research",
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    "Predictive Modeling",
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    "Epidemiologic Research",
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    "Measurement Error",
    "Risk Factors",
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  "domain": {
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    "display_name": "Physical Sciences"
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      "display_name": "Bayesian Monte Carlo Methods in Scientific Inference"
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     {
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       "id": "https://openalex.org/fields/26",
       "display_name": "Complex Probability Paradigm"
       "display_name": "Mathematics"
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     },
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       "id": "https://openalex.org/T11871",
    "ids": {
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       "wikipedia": "https://en.wikipedia.org/wiki/Sample_size_determination"
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      "display_name": "Development of Numerical Cognition and Mathematics Abilities"
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      "Logistic Regression",
      "Predictive Modeling",
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      "Data Bias",
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    "siblings": [
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        "display_name": "Bayesian Monte Carlo Methods in Scientific Inference"
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        "display_name": "Complex Probability Paradigm"
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        "display_name": "Detection and Handling of Multicollinearity in Regression Analysis"
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        "id": "https://openalex.org/T11345",
        "display_name": "Development of Numerical Cognition and Mathematics Abilities"
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        "display_name": "Estimation of Population Size Using Capture-Recapture Models"
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        "id": "https://openalex.org/T12135",
        "display_name": "Fuzzy Differential Equations and Uncertainty Modeling"
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        "id": "https://openalex.org/T13797",
        "display_name": "Introduction to Probability and Statistics"
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        "id": "https://openalex.org/T10845",
        "display_name": "Methods for Causal Inference in Observational Studies"
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        "display_name": "Methods for Handling Missing Data in Statistical Analysis"
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        "display_name": "Multivariate Analysis in Statistical Research"
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        "id": "https://openalex.org/T13500",
        "display_name": "Probability Theory and Statistical Modeling"
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        "display_name": "Random Matrix Theory and Its Applications"
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        "display_name": "Regularization and Variable Selection Methods"
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        "display_name": "Skew Distributions and Applications in Statistics"
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      {
        "id": "https://openalex.org/T13720",
        "display_name": "Statistical Analysis of Benford's Law Phenomenon"
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        "display_name": "Statistical Convergence in Approximation Theory and Functional Analysis"
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      {
        "id": "https://openalex.org/T11875",
        "display_name": "Statistical Literacy and Reasoning in Education"
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      {
        "id": "https://openalex.org/T13030",
        "display_name": "Statistical Methods for Sensitive Survey Questions"
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        "display_name": "Statistical Methods in Clinical Trials and Drug Development"
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      "display_name": "Introduction to Probability and Statistics"
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      "display_name": "Methods for Causal Inference in Observational Studies"
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      "display_name": "Methods for Handling Missing Data in Statistical Analysis"
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      "display_name": "Multivariate Analysis in Statistical Research"
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      "display_name": "Probability Theory and Statistical Modeling"
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      "display_name": "Random Matrix Theory and Its Applications"
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      "id": "https://openalex.org/T10136",
      "display_name": "Regularization and Variable Selection Methods"
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    {
      "id": "https://openalex.org/T10968",
      "display_name": "Skew Distributions and Applications in Statistics"
    },
    {
      "id": "https://openalex.org/T13720",
      "display_name": "Statistical Analysis of Benford's Law Phenomenon"
    },
    {
      "id": "https://openalex.org/T12062",
      "display_name": "Statistical Convergence in Approximation Theory and Functional Analysis"
    },
    {
      "id": "https://openalex.org/T11875",
      "display_name": "Statistical Literacy and Reasoning in Education"
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    {
      "id": "https://openalex.org/T13030",
      "display_name": "Statistical Methods for Sensitive Survey Questions"
    },
    {
      "id": "https://openalex.org/T11235",
      "display_name": "Statistical Methods in Clinical Trials and Drug Development"
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  "cited_by_count": 40297,
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}