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Inference is Not a Statistics Problem", "url": "https://www.lucymcgowan.com/talk/open_science_reproducibilitea_2023/", "published_at": "2023-06-28T11:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224746af87", "title": "Are two wrong models better than one? Missing data style.", "url": "https://www.lucymcgowan.com/writing/2023_are_two_wrong_models/", "published_at": "2023-04-29T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f22477cba76", "title": "When is complete case analysis unbiased?", "url": "https://www.lucymcgowan.com/writing/2023_when_is_complete_cas/", "published_at": "2023-04-28T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f2247e7e6a1", "title": "It’s just a linear model: neural networks edition", "url": "https://www.lucymcgowan.com/writing/2023_its_just_a_linear_m/", "published_at": "2023-04-27T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224857d9cb", "title": "Causal Quartets", "url": "https://www.lucymcgowan.com/writing/2023_causal_quartets/", "published_at": "2023-04-24T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f2248bdde00", "title": "Causal Inference is Not Just a Statistics Problem", "url": "https://www.lucymcgowan.com/talk/wfu_translational_and_health_system_science_guest_lecture_2023/", "published_at": "2023-04-20T12:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224978c79d", "title": "Causal Inference Challenges that Go Beyond Statistics", "url": "https://www.lucymcgowan.com/talk/johns_hopkins_bloomberg_school_of_public_health_department_of_biostatistics_seminar_spring_2023/", "published_at": "2023-04-10T12:15:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224a2db9cd", "title": "The Science of ChatGPT", "url": "https://www.lucymcgowan.com/talk/wfu_cat_chatgpt_learning_series_2023/", "published_at": "2023-04-04T13:30:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224a3e44a0", "title": "Kickstart your Career: How to Maximize Those Early Years", "url": "https://www.lucymcgowan.com/talk/enar_2023/", "published_at": "2023-03-20T15:45:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224a8a8c94", "title": "Practical Principles for Data Analysis Design", "url": "https://www.lucymcgowan.com/talk/university_massachusetts_amherst_department_of_biostatistics_%5C_epidemiology_seminar_spring_2023/", "published_at": "2023-02-17T10:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224b6b5cd2", "title": "STA 363 -- WFU Spring 2023", "url": "https://www.lucymcgowan.com/teaching/sta-363-s23/", "published_at": "2023-01-03T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224b80c492", "title": "BEM 392 -- WFU Spring 2023", "url": "https://www.lucymcgowan.com/teaching/bem-392-s23/", "published_at": "2023-01-01T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224bf745aa", "title": "Design Principles for Data Analysis", "url": "https://www.lucymcgowan.com/writing/2022_design_principles_fo/", "published_at": "2023-01-01T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224ce977de", "title": "Transparency in Public Health", "url": "https://www.lucymcgowan.com/writing/2022_transparency_in_publ/", "published_at": "2022-12-14T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224de4c58f", "title": "Randomized controlled trial: Quantifying the impact of disclosing uncertainty on adherence to hypothetical health recommendations", "url": "https://www.lucymcgowan.com/writing/2022_randomized_controlle/", "published_at": "2022-12-12T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224ed21654", "title": "Statistical Myths and Misuse: Abandoning Outdated Statistical Practices", "url": "https://www.lucymcgowan.com/talk/duke_clinical_research_institute_fellows_seminar_series_fall_2022/", "published_at": "2022-11-11T10:15:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224ee92e05", "title": "Causal Inference in R", "url": "https://www.lucymcgowan.com/talk/posit_tidymodels_team/", "published_at": "2022-10-07T09:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f224fe80058", "title": "Causal Inference in R", "url": "https://www.lucymcgowan.com/workshops/posit_tidymodels_team/", "published_at": "2022-10-07T09:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f2250ce54d7", "title": "Sensitivity Analyses for Unmeasured Confounders", "url": "https://www.lucymcgowan.com/writing/2022_sensitivity_analyses/", "published_at": "2022-09-22T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f2250cfe73a", "title": "Migrating from Hugo to Quarto", "url": "https://www.lucymcgowan.com/writing/2022_migrating_from_hugo_/", "published_at": "2022-09-19T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f2250f31240", "title": "tipr: An R package for sensitivity analyses for unmeasured confounding", "url": "https://www.lucymcgowan.com/writing/2022_tipr_an_r_package_f/", "published_at": "2022-09-08T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f2251beaa83", "title": "ConTESSA: A Shiny Application to Assist with Evaluating the Impact of COVID-19 test-trace-isolate Programs", "url": "https://www.lucymcgowan.com/talk/rmedicine_2022/", "published_at": "2022-08-26T14:30:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f2252573e6e", "title": "Design Thinking: Empirical Evidence for Six Principles of Data Analysis", "url": "https://www.lucymcgowan.com/talk/asa_joint_statistical_meeting_2022/", "published_at": "2022-08-08T14:45:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f22533833b0", "title": "A Visual Diagnostic Tool for Causal Inference", "url": "https://www.lucymcgowan.com/writing/2022_a_visual_diagnostic_/", "published_at": "2022-08-01T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f22533f23cc", "title": "STA 112 -- WFU Fall 2022", "url": "https://www.lucymcgowan.com/teaching/sta-112-f22/", "published_at": "2022-08-01T00:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f2253f753e7", "title": "Causal Inference in R", "url": "https://www.lucymcgowan.com/talk/rstudioconf_2022/", "published_at": "2022-07-25T09:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f2254686107", "title": "Causal Inference in R", "url": "https://www.lucymcgowan.com/workshops/rstudioconf_2022/", "published_at": "2022-07-25T09:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f2254951a6d", "title": "Causal Inference in R", "url": "https://www.lucymcgowan.com/talk/new_york_r_conference_2021.1/", "published_at": "2022-07-08T09:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f22551b7637", "title": "Causal Inference in R", "url": "https://www.lucymcgowan.com/talk/new_york_r_conference_2021_1/", "published_at": "2022-07-08T09:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f2255a5948d", "title": "Causal Inference in R", "url": "https://www.lucymcgowan.com/workshops/new_york_r_conference_2021_1/", "published_at": "2022-07-08T09:00:00+00:00" }, { "id": "01a0879d-1fba-70f4-8a83-2f2255c42aa6", "title": "Communicating During a Pandemic: What Worked, What Didn’t and What’s Next", "url": "https://www.lucymcgowan.com/talk/the_wake_forest_2022_conference_on_analytics_impact_2022/", "published_at": "2022-05-20T15:45:00+00:00" } ] posts Claim your blog
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lucymcgowan.com

2026

Symmetric vaccine efficacyoriginal ↗
11 Aug 2026
Symmetric Vaccine Efficacy: Interpretable Estimation and Inference for Vaccine Trialsoriginal ↗
4 Aug 2026
Using large language models to enhance clinically-driven missing data recovery algorithms in electronic health recordsoriginal ↗
2 Jun 2026
Mind the Gap: Causal Inference is Not Just a Statistics Problemoriginal ↗
12 May 2026
Causal Inference in Roriginal ↗
11 May 2026
Causal Inference in Roriginal ↗
11 May 2026
Miss(ing) Congeniality: The Cost of Incompatible Imputation Modelsoriginal ↗
28 Apr 2026
The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimationoriginal ↗
20 Apr 2026
Causal Inference in Roriginal ↗
9 Apr 2026
Causal Inference in Roriginal ↗
9 Apr 2026
STA 312 -- WFU Spring 2026original ↗
3 Jan 2026

2025

The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimationoriginal ↗
14 Oct 2025
The Art of Data Refinement: Severance Analysesoriginal ↗
14 Oct 2025
Exploring the Potential of Large Language Models in Generating Saturated DAGs for Causal Inferenceoriginal ↗
14 Oct 2025
Causal Inference Is Not Just A Statistics Problemoriginal ↗
7 Oct 2025
Causal Inference in Roriginal ↗
16 Sept 2025
Causal Inference in Roriginal ↗
16 Sept 2025
Immaculate vibes, questionable codeoriginal ↗
10 Aug 2025
Building Strong ASA Student Chapters: Strategies for Growth, Inclusivity, and Maximizing Valueoriginal ↗
3 Aug 2025
STA 363 -- WFU Fall 2025original ↗
3 Aug 2025
STA 312 -- WFU Fall 2025original ↗
1 Aug 2025
Understanding Statistics in Medical Literatureoriginal ↗
22 Jul 2025
Understanding Statistics in Medical Literatureoriginal ↗
22 Jul 2025
Partitioned Local Depth (PaLD) Community Analyses in Roriginal ↗
20 Jun 2025
Quantifying the Alignment of a Data Analysis between Analyst and Audienceoriginal ↗
5 Jun 2025
Using Mathlink Cubes to Introduce Data Wrangling with Examples in Roriginal ↗
30 May 2025
One Simple Way to Get Better at Reading Dataoriginal ↗
23 May 2025
The Case for Deterministic Imputation in Predictive Modelingoriginal ↗
13 May 2025
Combining Straight-Line and Map-Based Distances to Investigate the Connection Between Proximity to Healthy Foods and Diseaseoriginal ↗
30 Mar 2025
The Why Behind Including Y in your Imputation Modeloriginal ↗
24 Mar 2025
Untangling Causal Effects: Understanding the Limits of Statisticsoriginal ↗
21 Mar 2025
Data Jamboree: A Party of Open-Source Software Solving Real-World Data Science Problemsoriginal ↗
13 Mar 2025

2024

It's ME hi, I'm the collider it's MEoriginal ↗
18 Oct 2024
Including the outcome in your imputation model -- why isn't this 'double dipping'?original ↗
17 Oct 2024
Power and sample size calculations for testing the ratio of reproductive values in phylogenetic samplesoriginal ↗
8 Oct 2024
The Art of the Invite: Crafting Successful Invited Session Proposalsoriginal ↗
8 Oct 2024
Evaluating the Alignment of a Data Analysis between Analyst and Audienceoriginal ↗
8 Aug 2024
Why You Must Include the Outcome in Your Imputation Model (and Why It's Not Double Dipping)original ↗
28 May 2024
Causal Inference in Roriginal ↗
15 May 2024
Causal Inference in Roriginal ↗
15 May 2024
Statistical Rigor in Academic Medicine: Practical Strategies for Improvementoriginal ↗
9 May 2024
A Framework for Developing AI-powered Negotiation Agents to Examine Producer-Consumer Dynamics in Data Scienceoriginal ↗
8 May 2024
Partnering with Authors to Enhance Reproducibility at JASAoriginal ↗
25 Apr 2024
When to Include the Outcome in Your Imputation Model: A Mathematical Demonstration and Practical Adviceoriginal ↗
12 Apr 2024
Bridging the Gap Between Theory and Practice: When to Include the Outcome in Your Imputation Modeloriginal ↗
14 Mar 2024
The 'Why' behind including 'Y' in your imputation modeloriginal ↗
9 Mar 2024
Power and sample size calculations for testing the ratio of reproductive values in phylogenetic samplesoriginal ↗
7 Mar 2024
Bridging the Gap Between Imputation Theory and Practiceoriginal ↗
5 Mar 2024
Causal Inference is Not Just a Statistics Problemoriginal ↗
20 Feb 2024
Integrating Design Thinking in the Data Analytic Processoriginal ↗
20 Feb 2024
The Study of the Epidemiology of Pediatric Hypertension Registry (SUPERHERO): Rationale and Methodsoriginal ↗
20 Feb 2024
Analytic Design Theory: Framework for Alignment Between Analyst and Audienceoriginal ↗
24 Jan 2024
Causal Inference is not just a statistics problemoriginal ↗
12 Jan 2024
STA 112 -- WFU Spring 2024original ↗
3 Jan 2024
BEM 392 -- WFU Spring 2024original ↗
1 Jan 2024

2023

Moving Towards Best Practice: Dispelling Statistical Mythsoriginal ↗
15 Nov 2023
Data Jamboree: Analyzing NYC 311 Service Requests in Roriginal ↗
4 Nov 2023
Design Principles of Data Analysisoriginal ↗
30 Oct 2023
Design Principles of Data Analysisoriginal ↗
30 Oct 2023
The 'Why' Behind Including 'Y' in Your Imputation Modeloriginal ↗
27 Oct 2023
Demystifying Invited Session Proposalsoriginal ↗
27 Oct 2023
Causal Quartet: When Statistics Alone Do Not Tell the Full Storyoriginal ↗
15 Sept 2023
Estimating Causal Effects: This be Madness, Yet There is Method in Itoriginal ↗
8 Sept 2023
A Visual Diagnostic Tool for Causal Inferenceoriginal ↗
8 Aug 2023
STA 779 -- WFU Fall 2023original ↗
3 Aug 2023
STA 112 -- WFU Fall 2023original ↗
1 Aug 2023
Visual Diagnostic Tool for Causal Inferenceoriginal ↗
26 Jul 2023
Causal Inference in Roriginal ↗
11 Jul 2023
Causal Inference in Roriginal ↗
11 Jul 2023
Causal Inference is Not a Statistics Problemoriginal ↗
28 Jun 2023
Are two wrong models better than one? Missing data style.original ↗
29 Apr 2023
When is complete case analysis unbiased?original ↗
28 Apr 2023
It’s just a linear model: neural networks editionoriginal ↗
27 Apr 2023
Causal Quartetsoriginal ↗
24 Apr 2023
Causal Inference is Not Just a Statistics Problemoriginal ↗
20 Apr 2023
Causal Inference Challenges that Go Beyond Statisticsoriginal ↗
10 Apr 2023
The Science of ChatGPToriginal ↗
4 Apr 2023
Kickstart your Career: How to Maximize Those Early Yearsoriginal ↗
20 Mar 2023
Practical Principles for Data Analysis Designoriginal ↗
17 Feb 2023
STA 363 -- WFU Spring 2023original ↗
3 Jan 2023
BEM 392 -- WFU Spring 2023original ↗
1 Jan 2023
Design Principles for Data Analysisoriginal ↗
1 Jan 2023

2022

Transparency in Public Healthoriginal ↗
14 Dec 2022
Randomized controlled trial: Quantifying the impact of disclosing uncertainty on adherence to hypothetical health recommendationsoriginal ↗
12 Dec 2022
Statistical Myths and Misuse: Abandoning Outdated Statistical Practicesoriginal ↗
11 Nov 2022
Causal Inference in Roriginal ↗
7 Oct 2022
Causal Inference in Roriginal ↗
7 Oct 2022
Sensitivity Analyses for Unmeasured Confoundersoriginal ↗
22 Sept 2022
Migrating from Hugo to Quartooriginal ↗
19 Sept 2022
tipr: An R package for sensitivity analyses for unmeasured confoundingoriginal ↗
8 Sept 2022
ConTESSA: A Shiny Application to Assist with Evaluating the Impact of COVID-19 test-trace-isolate Programsoriginal ↗
26 Aug 2022
Design Thinking: Empirical Evidence for Six Principles of Data Analysisoriginal ↗
8 Aug 2022
A Visual Diagnostic Tool for Causal Inferenceoriginal ↗
1 Aug 2022
STA 112 -- WFU Fall 2022original ↗
1 Aug 2022
Causal Inference in Roriginal ↗
25 Jul 2022
Causal Inference in Roriginal ↗
25 Jul 2022
Causal Inference in Roriginal ↗
8 Jul 2022
Causal Inference in Roriginal ↗
8 Jul 2022
Causal Inference in Roriginal ↗
8 Jul 2022
Communicating During a Pandemic: What Worked, What Didn’t and What’s Nextoriginal ↗
20 May 2022
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