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<ahref="../evaluation/posts/2024_06_05/index.html" class="no-external">Evaluation against reporting guidelines - finished STRESS-DES, and did for ISPOR-SDM.</a>
<p>Exploring methods for overlaying figures. Not timed as not about reproduction of this study, but about how we are going to do this each time when reproducing.</p>
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<p>Decided that it’s not helpful to do this - spend more time fiddling around with getting them to resize and overlay correctly - and that the simplest option here would be to compare by eye.</p>
<li>Remote execution/Online coding environment - Zenodo doesn’t but GitLab does. I was largely working with Zenodo as that was the archived version, but in this case, did say met criteria via GitLab. Importance of which code is chosen when there are two versions. I didn’t initially think it met criteria until checked the GitLab too. Have recommended both are referred to. But do they meet criteria if changes are made to repository after publication? After submission? For example, if we asked them to add a license.</li>
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<p>Compared my decisions for the best practice audit against those made in Monks and Harper. Don’t think I would normally plan to do this. Their GitHub is <ahref="https://github.com/TomMonks/des_sharing_lit_review">TomMonks/des_sharing_lit_review</a>, which provides the file <code>share_sim_data_extract.zip</code>. I used the provided code to clean this and saved it as <code>share_sim_data_extract_clean.csv</code>, which can then view here:</p>
<li>Experiementation aims - is it applicable? The DES model, as I understand, just tests one scenario - a worst case scenario - so it’s not really “scenario based analysis” comparing scenarios - but it does have A scenario and justification for it?</li>
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<li>Algorithms - is this applicable in this example? Parameters are just from sampling from distributions, or proportions. Assuming its applicable, and that distribing those distributions answers this question?</li>
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<li>Queues - wasn’t certain about this, as I don’t really know what order they get allocated to units. but that’s not a queue? but it kind of is - in that, at the start of the day, they are waiting to be assigned?</li>
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<li>Entry/exit points - they are in model on days they need dialysis, and then leave again? unless get unallocated? and then they never return if their state turns to dead? this isn’t really spelled out though.</li>
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<li>Entry/exit points - have said not met as can’t find this stated, but also, not sure what the answer is. They are in model on days they need dialysis, and then leave again? unless get unallocated? and then they never return if their state turns to dead?</li>
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