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Researcher · United States Food and Drug Administration · United States

Telba Irony

Telba Irony publishes mostly in Statistics and Probability, Economics and Econometrics and Statistics, Probability and Uncertainty, on topics such as Health Systems, Economic Evaluations, Quality of Life, Statistical Methods in Clinical Trials and Advanced Causal Inference Techniques.

ORCID 0000-0002-2234-319X OpenAlex
World rank
#1,149,782
of 7,710,434 ranked researchers
Rank in United States
#370,341
of 1,627,098
Works
64
Citations
1.2k
Citations per work
19.0
h-index
17
i10-index 25Top 27% in Statistics and Probability
Telba Irony

What does Telba Irony research?

Telba Irony's work is mostly in Mathematics (22%), Economics, Econometrics and Finance (20%), Decision Sciences (9%).

Everything else: 22 works · 34.8% of their workPhysical Sciences: 19 works · 29.0% of their workMathematics: 14 works · 22.5% of their workStatistics and Probability: 14 works · 22.5% of their workComputer Science: 4 works · 6.5% of their workArtificial Intelligence: 4 works · 6.5% of their workSocial Sciences: 19 works · 29.0% of their workEconomics, Econometrics and Finance: 13 works · 20.3% of their workEconomics and Econometrics: 13 works · 20.3% of their workDecision Sciences: 6 works · 8.7% of their workStatistics, Probability and Uncertainty: 6 works · 8.7% of their workLife Sciences: 2 works · 3.6% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 3.6% of their workGenetics: 2 works · 3.6% of their workHealth Sciences: 2 works · 3.6% of their workMedicine: 2 works · 3.6% of their workSurgery: 2 works · 3.6% of their workTHEIR WORKTelba Irony64works
Life Sciences4%Physical Sciences29%Health Sciences4%Social Sciences29%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else2234.8%
    1. Mathematics1422.5%
    2. Computer Science46.5%
    1. Economics, Econometrics and Finance1320.3%
    2. Decision Sciences68.7%
    1. Biochemistry, Genetics and Molecular Biology23.6%
    1. Medicine23.6%
  1. 1Statistics and Probability22% of their works
  2. 2Economics and Econometrics20% of their works
  3. 3Statistics, Probability and Uncertainty9% of their works
  4. 4Artificial Intelligence6% of their works
  5. 5Genetics4% of their works
  6. 6Surgery4% of their works

Research topics

Which keywords describe Telba Irony's research?

The keywords of their largest research topics: Cost-effectiveness Analysis, Quality of Life, Adaptive Designs, False Discovery Rate, Causal Inference, Healthcare Improvement, Observational Studies and Propensity Score.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 17 words, with their numbers
  1. Cost-effectiveness Analysis191 topic
  2. Quality of Life191 topic
  3. Adaptive Designs131 topic
  4. False Discovery Rate131 topic
  5. Causal Inference102 topics
  6. Healthcare Improvement71 topic
  7. Observational Studies71 topic
  8. Propensity Score71 topic
  9. Statistical Process Control71 topic
  10. Multicollinearity51 topic
  11. Regression Analysis51 topic
  12. Conjoint Analysis41 topic
  13. Discrete Choice Models41 topic
  14. Assembly Planning31 topic
  15. Bayesian Networks31 topic
  16. Design for Manufacture31 topic
  17. Graphical Models31 topic

Where does Telba Irony work?

Telba Irony's main affiliation in the publication record is United States Food and Drug Administration, United States.

How many publications and citations does Telba Irony have?

OpenAlex counts 64 works and 1,216 citations for Telba Irony, an h-index of 17, ranking #1,149,782 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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