corpus.blog
41554 blogs · [ { "id": "01a087ee-76db-722d-855f-0a38291b4aa0", "title": "Estimating hypothetical estimands using post-ICE data – robustness to model misspecification", "url": "https://thestatsgeek.com/2026/07/15/estimating-hypothetical-estimands-using-post-ice-data-robustness-to-model-misspecification/", "published_at": "2026-07-15T17:02:43+00:00" }, { "id": "01a087ee-76db-722d-855f-0a38298dd81a", "title": "How to interpret hazard ratios", "url": "https://thestatsgeek.com/2026/01/15/how-to-interpret-hazard-ratios/", "published_at": "2026-01-15T10:26:33+00:00" }, { "id": "01a087ee-76db-722d-855f-0a3829c3064e", "title": "Research Fellow post at LSHTM – machine learning for missing data", "url": "https://thestatsgeek.com/2025/09/04/research-fellow-post-at-lshtm-machine-learning-for-missing-data/", "published_at": "2025-09-04T12:44:03+00:00" }, { "id": "01a087ee-76dc-73d0-8dd1-f54fd5785f02", "title": "The role of post intercurrent event data in the estimation of hypothetical estimands in clinical trials", "url": "https://thestatsgeek.com/2025/04/03/the-role-of-post-intercurrent-event-data-in-the-estimation-of-hypothetical-estimands-in-clinical-trials/", "published_at": "2025-04-03T09:04:35+00:00" }, { "id": "01a087ee-76dc-73d0-8dd1-f54fd60007a9", "title": "Multiple imputation for coarsened (grouped) factor covariates", "url": "https://thestatsgeek.com/2025/03/27/multiple-imputation-for-coarsened-grouped-factor-covariates/", "published_at": "2025-03-27T09:15:00+00:00" }, { "id": "01a087ee-76dc-73d0-8dd1-f54fd6e8230b", "title": "What is meant by a ‘while on treatment’ estimand?", "url": "https://thestatsgeek.com/2025/03/03/what-is-meant-by-a-while-on-treatment-estimand/", "published_at": "2025-03-03T12:59:05+00:00" }, { "id": "01a087ee-76dc-73d0-8dd1-f54fd7d70bd8", "title": "Does a Bernoulli/binomial model really assume everyone has the same probability p?", "url": "https://thestatsgeek.com/2024/11/04/does-a-bernoulli-binomial-model-really-assume-everyone-has-the-same-probability-p/", "published_at": "2024-11-04T10:38:52+00:00" }, { "id": "01a087ee-76dc-73d0-8dd1-f54fd8c29352", "title": "Multiple imputation with flexible parametric survival models", "url": "https://thestatsgeek.com/2024/10/25/multiple-imputation-with-flexible-parametric-survival-models/", "published_at": "2024-10-25T06:58:51+00:00" }, { "id": "01a087ee-76dc-73d0-8dd1-f54fd9bd9d8d", "title": "Multiple imputation for missing covariates in the Fine & Gray model for competing risks", "url": "https://thestatsgeek.com/2024/06/05/multiple-imputation-for-missing-covariates-in-the-fine-gray-model-for-competing-risks/", "published_at": "2024-06-05T07:26:51+00:00" }, { "id": "01a087ee-76dc-73d0-8dd1-f54fda3e839e", "title": "Variance estimation for reference-based multiple imputation – the debate continues", "url": "https://thestatsgeek.com/2024/04/18/variance-estimation-for-reference-based-multiple-imputation-the-debate-continues/", "published_at": "2024-04-18T18:00:51+00:00" } ] posts Claim your blog
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thestatsgeek.com

2026

Estimating hypothetical estimands using post-ICE data – robustness to model misspecificationoriginal ↗
15 Jul 2026
How to interpret hazard ratiosoriginal ↗
15 Jan 2026

2025

Research Fellow post at LSHTM – machine learning for missing dataoriginal ↗
4 Sept 2025
The role of post intercurrent event data in the estimation of hypothetical estimands in clinical trialsoriginal ↗
3 Apr 2025
Multiple imputation for coarsened (grouped) factor covariatesoriginal ↗
27 Mar 2025
What is meant by a ‘while on treatment’ estimand?original ↗
3 Mar 2025

2024

Does a Bernoulli/binomial model really assume everyone has the same probability p?original ↗
4 Nov 2024
Multiple imputation with flexible parametric survival modelsoriginal ↗
25 Oct 2024
Multiple imputation for missing covariates in the Fine & Gray model for competing risksoriginal ↗
5 Jun 2024
Variance estimation for reference-based multiple imputation – the debate continuesoriginal ↗
18 Apr 2024