Item talk:Q166750

{

 "id": "https://openalex.org/T11235",
 "display_name": "Statistical Methods in Clinical Trials and Drug Development",
 "description": "This cluster of papers covers a wide range of statistical methods and design considerations in the context of clinical trials and drug development. It includes topics such as controlling the false discovery rate, adaptive trial designs, noninferiority trials, biomarkers, phase I trials, multiple testing, Bayesian methods, sample size determination, composite endpoints, and pharmacokinetic/pharmacodynamic modeling.",
 "keywords": [
   "False Discovery Rate",
   "Adaptive Designs",
   "Noninferiority Trials",
   "Biomarkers",
   "Phase I Trials",
   "Multiple Testing",
   "Bayesian Methods",
   "Sample Size",
   "Composite Endpoints",
   "Pharmacokinetic/Pharmacodynamic Modeling"
 ],
 "ids": {
   "openalex": "https://openalex.org/T11235",
   "wikipedia": "https://en.wikipedia.org/wiki/Clinical_trial"
 },
 "subfield": {
   "id": "https://openalex.org/subfields/2613",
   "display_name": "Statistics and Probability"
 },
 "field": {
   "id": "https://openalex.org/fields/26",
   "display_name": "Mathematics"
 },
 "domain": {
   "id": "https://openalex.org/domains/3",
   "display_name": "Physical Sciences"
 },
 "siblings": [
   {
     "id": "https://openalex.org/T12056",
     "display_name": "Bayesian Monte Carlo Methods in Scientific Inference"
   },
   {
     "id": "https://openalex.org/T13680",
     "display_name": "Complex Probability Paradigm"
   },
   {
     "id": "https://openalex.org/T11871",
     "display_name": "Detection and Handling of Multicollinearity in Regression Analysis"
   },
   {
     "id": "https://openalex.org/T11345",
     "display_name": "Development of Numerical Cognition and Mathematics Abilities"
   },
   {
     "id": "https://openalex.org/T13546",
     "display_name": "Estimation of Population Size Using Capture-Recapture Models"
   },
   {
     "id": "https://openalex.org/T12135",
     "display_name": "Fuzzy Differential Equations and Uncertainty Modeling"
   },
   {
     "id": "https://openalex.org/T13797",
     "display_name": "Introduction to Probability and Statistics"
   },
   {
     "id": "https://openalex.org/T10845",
     "display_name": "Methods for Causal Inference in Observational Studies"
   },
   {
     "id": "https://openalex.org/T10243",
     "display_name": "Methods for Handling Missing Data in Statistical Analysis"
   },
   {
     "id": "https://openalex.org/T14374",
     "display_name": "Methods for Sample Size Calculation in Research"
   },
   {
     "id": "https://openalex.org/T13141",
     "display_name": "Multivariate Analysis in Statistical Research"
   },
   {
     "id": "https://openalex.org/T13500",
     "display_name": "Probability Theory and Statistical Modeling"
   },
   {
     "id": "https://openalex.org/T11716",
     "display_name": "Random Matrix Theory and Its Applications"
   },
   {
     "id": "https://openalex.org/T10136",
     "display_name": "Regularization and Variable Selection Methods"
   },
   {
     "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"
   },
   {
     "id": "https://openalex.org/T13030",
     "display_name": "Statistical Methods for Sensitive Survey Questions"
   }
 ],
 "works_count": 47296,
 "cited_by_count": 1211224,
 "updated_date": "2024-08-26T05:23:36.335916",
 "created_date": "2024-01-23"

}