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OpenAlex: !!python/object/new:pyalex.api.Topic
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    cited_by_count: 31671
   "display_name": "Methods for Sample Size Calculation in Research",
    created_date: '2024-01-23'
  "description": "This cluster of papers focuses on various methodological aspects of sample size calculation, logistic regression, predictive modeling, and epidemiologic research. It addresses issues such as sparse data bias, measurement error, risk factors identification, and statistical analysis in clinical studies.",
    description: This cluster of papers focuses on various methodological aspects
  "keywords": [
      of sample size calculation, logistic regression, predictive modeling, and epidemiologic
     "Sample Size Calculation",
      research. It addresses issues such as sparse data bias, measurement error, risk
    "Methodology",
      factors identification, and statistical analysis in clinical studies.
    "Logistic Regression",
     display_name: Methods for Sample Size Calculation in Research
    "Predictive Modeling",
     domain:
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      display_name: Physical Sciences
     "Statistical Analysis",
      id: https://openalex.org/domains/3
    "Data Bias",
     field:
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      display_name: Mathematics
    "Risk Factors",
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    "Clinical Studies"
     id: https://openalex.org/T14374
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      wikipedia: https://en.wikipedia.org/wiki/Sample_size_determination
     "wikipedia": "https://en.wikipedia.org/wiki/Sample_size_determination"
     keywords:
  },
    - Sample Size Calculation
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     "display_name": "Statistics and Probability"
    - Predictive Modeling
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    - Epidemiologic Research
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    - Data Bias
    "display_name": "Mathematics"
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    - display_name: Bayesian Monte Carlo Methods in Scientific Inference
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    - display_name: Statistical Analysis of Benford's Law Phenomenon
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    updated_date: '2024-05-20T05:13:34.905012'
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}

Revision as of 14:29, 30 August 2024

{

 "id": "https://openalex.org/T14374",
 "display_name": "Methods for Sample Size Calculation in Research",
 "description": "This cluster of papers focuses on various methodological aspects of sample size calculation, logistic regression, predictive modeling, and epidemiologic research. It addresses issues such as sparse data bias, measurement error, risk factors identification, and statistical analysis in clinical studies.",
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   "Sample Size Calculation",
   "Methodology",
   "Logistic Regression",
   "Predictive Modeling",
   "Epidemiologic Research",
   "Statistical Analysis",
   "Data Bias",
   "Measurement Error",
   "Risk Factors",
   "Clinical Studies"
 ],
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     "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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}