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"content": "<p>Online <a href=\"https://mastodon.social/tags/workshop\" class=\"mention hashtag\" rel=\"tag\">#<span>workshop</span></a>:<br />Simulation-based power analyses in (generalized) linear mixed models<br />17.05.2023, 10-12h CEST</p><p>The workshop will cover basics of power analysis, linear mixed models, and why the combination of both requires a simulation-based approach.</p><p>In my experience, this is for many areas of <a href=\"https://mastodon.social/tags/HealthSciences\" class=\"mention hashtag\" rel=\"tag\">#<span>HealthSciences</span></a> and <a href=\"https://mastodon.social/tags/HRQL\" class=\"mention hashtag\" rel=\"tag\">#<span>HRQL</span></a> research a key problem when designing studies.</p><p>Maybe worth a read as well:<br /><a href=\"https://link.springer.com/article/10.3758/s13428-021-01546-0\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">link.springer.com/article/10.3</span><span class=\"invisible\">758/s13428-021-01546-0</span></a></p><p><a href=\"https://mastodon.social/tags/PowerAnalysis\" class=\"mention hashtag\" rel=\"tag\">#<span>PowerAnalysis</span></a> <a href=\"https://mastodon.social/tags/SampleSize\" class=\"mention hashtag\" rel=\"tag\">#<span>SampleSize</span></a> <a href=\"https://mastodon.social/tags/Rstats\" class=\"mention hashtag\" rel=\"tag\">#<span>Rstats</span></a> <a href=\"https://mastodon.social/tags/mixedpower\" class=\"mention hashtag\" rel=\"tag\">#<span>mixedpower</span></a> <a href=\"https://mastodon.social/tags/ZPID\" class=\"mention hashtag\" rel=\"tag\">#<span>ZPID</span></a></p>",
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"en": "<p>Online <a href=\"https://mastodon.social/tags/workshop\" class=\"mention hashtag\" rel=\"tag\">#<span>workshop</span></a>:<br />Simulation-based power analyses in (generalized) linear mixed models<br />17.05.2023, 10-12h CEST</p><p>The workshop will cover basics of power analysis, linear mixed models, and why the combination of both requires a simulation-based approach.</p><p>In my experience, this is for many areas of <a href=\"https://mastodon.social/tags/HealthSciences\" class=\"mention hashtag\" rel=\"tag\">#<span>HealthSciences</span></a> and <a href=\"https://mastodon.social/tags/HRQL\" class=\"mention hashtag\" rel=\"tag\">#<span>HRQL</span></a> research a key problem when designing studies.</p><p>Maybe worth a read as well:<br /><a href=\"https://link.springer.com/article/10.3758/s13428-021-01546-0\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">link.springer.com/article/10.3</span><span class=\"invisible\">758/s13428-021-01546-0</span></a></p><p><a href=\"https://mastodon.social/tags/PowerAnalysis\" class=\"mention hashtag\" rel=\"tag\">#<span>PowerAnalysis</span></a> <a href=\"https://mastodon.social/tags/SampleSize\" class=\"mention hashtag\" rel=\"tag\">#<span>SampleSize</span></a> <a href=\"https://mastodon.social/tags/Rstats\" class=\"mention hashtag\" rel=\"tag\">#<span>Rstats</span></a> <a href=\"https://mastodon.social/tags/mixedpower\" class=\"mention hashtag\" rel=\"tag\">#<span>mixedpower</span></a> <a href=\"https://mastodon.social/tags/ZPID\" class=\"mention hashtag\" rel=\"tag\">#<span>ZPID</span></a></p>"
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"name": "Simulation-based power analyses in (generalized) linear mixed models\n\nAbstract\n\nThe statistical power of a research design is closely linked to the reliability and replicability of empirical findings. Accounting for power while planning a study is therefore crucial and often a requirement for submissions in scientific journals. However, this can quickly become highly difficult in practice – especially for more complex, but very popular analysis procedures like linear mixed models (LMMs). In this workshop, we will briefly cover the basics of power analysis, linear mixed models, and why the combination of both requires a simulation-based approach. We will then focus on the R-package mixedpower and how to use it to estimate power in LMMs. The general aim of this workshop will be to help researchers build intuitions about simulation-based power analyses, and to empower them to set up highly powered research designs when they plan to use mixed-effect models to analyse the resultant data. A prerequisite for this workshop is a basic knowledge of R. Although we will briefly cover the basics of LMMs, familiarity with LMMs and the R-package lme4 is strongly recommended.",
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