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    by C.A.R.E.S. Lab
    on Jan 1, 0001 · 0 min read  ·
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A blog about Causality, Applications, and Research in Education and Statistics.

From the C.A.R.E.S. Lab at the Harvard Graduate School of Education
Director: Luke Miratrix, Associate Professor
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Featured Posts

  • Comparing ATE estimators in multisite and cluster randomized trials
  • Fine-Tuning ChatGPT for Essay Grading
  • The Art of Crafting Prompts for Essay Grading with ChatGPT
  • To block or not to block, that is the question
  • Drawing a Line Between Sample Statistics and Population Inferences
  • So, you decided to write your article in R Markdown

Recent Posts

  • Comparing ATE estimators in multisite and cluster randomized trials
  • Fine-Tuning ChatGPT for Essay Grading
  • The Art of Crafting Prompts for Essay Grading with ChatGPT
  • How to Grade Essays with ChatGPT
  • Designing Experiments Toward Shrinkage Estimation
  • Plotting distributions of site-level impact estimates (or other collections of noisily estimated things)
  • Exploring power with the PUMP package
  • Recovering Effect Sizes from Dichotomous Variables Using Logistic Regression

Categories

METHODOLOGY 7 TUTORIAL 6 REFLECTIONS 3

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CODING 9 MULTISITE 4 AUTOMATED-ESSAY-SCORING 3 CHATGPT 3 INTERPRETATION 3 LARGE-LANGUAGE-MODEL 3 VISUALIZATIONS 3 BLOCKING 2 MATCHING 2 MLM 2 MULTISITE-TRIALS 2 CLUSTER-RANDOMIZED-TRIALS 1 DIFF-IN-DIFF 1 FINE-TUNING 1
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AUTOMATED-ESSAY-SCORING3 BLOCKING2 CHATGPT3 CLUSTER-RANDOMIZED-TRIALS1 CODING9 DIFF-IN-DIFF1 FINE-TUNING1 INDEX1 INFERENCE1 INTERPRETATION3 LARGE-LANGUAGE-MODEL3 LOGISTIC1 MATCHING2 MLM2 MULTISITE4 MULTISITE-TRIALS2 NEYMAN1 POWER1 RANDOMIZED-TRIALS1 RMARKDOWN1 VISUALIZATIONS3
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