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  • Fitting the FIRC Model, and estimating variation in intervention impact across sites, in R

    by Luke Miratrix
    on Jan 4, 2023 · 11 min read · coding multisite  ·
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    Fitting the FIRC Model, and estimating variation in intervention impact across sites, in R

    When estimating average treatment impact for a multisite randomized trial, recent literature (see Bloom et al. (2017)) has suggested using the so-called FIRC (Fixed Intercept, Random Coefficient) model. There are some technical details that make fitting this model slightly tricky in R; this post talks through these …

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  • Drawing a Line Between Sample Statistics and Population Inferences

    by Eddie Kim
    on Sep 29, 2022 · 22 min read · interpretation inference  ·
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    Drawing a Line Between Sample Statistics and Population Inferences

    A shady figure presents you with a game. They have a deck of cards numbered 1, 2, 3, or 4, the exact distribution of which you do not know. They randomly shuffle and separate the deck into two equally sized piles, facedown, and after checking the piles for themselves, reveal some cards from each. From the first set: 4, …

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  • So, you decided to write your article in R Markdown

    by Kristen Hunter
    on Sep 1, 2022 · 15 min read · RMarkdown  ·
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    So, you decided to write your article in R Markdown

    You’ve taken the leap, and you wrote a manuscript using R Markdown. Good job! I support your endeavor, especially as it is a good practice for reproducible research. You’ve finished your work, and you want to submit your manuscript for publication. Unfortunately, the journal has various style and formatting …

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  • Understanding Matching and Diff-and-Diff

    by Lily An and Kristen Hunter
    on Jun 1, 2021 · 13 min read · diff-in-diff matching  ·
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    Understanding Matching and Diff-and-Diff

    Does becoming President of the United States cause you to age faster than you would have otherwise, if you had not become President? Media sources have claimed that presidents age more quickly while in office. The British tabloid The Daily Mail asserted “American presidents age TWICE as fast while in office” (Daily …

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  • Calibrating error bars to ease group comparisons

    by Luke Miratrix
    on Mar 20, 2021 · 5 min read · interpretation visualizations  ·
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    Calibrating error bars to ease group comparisons

    An annoyance (for me) is when I want to compare different groups portrayed in a nice plot that is kind enough to provide error bars. Consider a hypothetical data collection effort where we have 5 groups and are looking at the mean outcome of these 5 groups. Our estimated means and standard deviations are as follows: …

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  • Contextualizing point estimates and p-Values

    by Luke Miratrix
    on Mar 18, 2021 · 4 min read · interpretation  ·
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    Contextualizing point estimates and p-Values

    Once an analysis is in, we need to think carefully about how to talk about our results. Statistics is about inference, about capturing the uncertainty in our findings given limitations of our data and estimation error. We want the reader to quickly assess how seriously to take an estimated difference, and we want to …

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  • A Matching Guide (Part 1 of 3: How do I make a matched dataset?)

    by Thomas Leavitt and Luke Miratrix
    on Jan 1, 0001 · 20 min read · matching coding  ·
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    A Matching Guide (Part 1 of 3: How do I make a matched dataset?)

    This is a live document that is subject to updating at any time. Introduction This document, the first of a three part series, is an introduction to matching in R using the optmatch and RItools packages. We focus on unit-to-unit matching, as opposed to other recent approaches that focus on obtaining overall balance in …

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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

  • Using copulas for making calibrated data generating processes (DGPs) for simulation
  • 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

  • Using copulas for making calibrated data generating processes (DGPs) for simulation
  • 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

Categories

METHODOLOGY 8 TUTORIAL 6 REFLECTIONS 3

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