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DataSurg | Science, Surgery, Data ...Science, Surgery, Data ...
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View this contact
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Ewen Harrison
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DataSurg | Science, Surgery, Data ... | datasurg.net Reviews
https://datasurg.net
Science, Surgery, Data ...
DataSurg | Considerations in the Early Termination of Clinical Trials in Surgery
http://www.datasurg.net/2014/11/16/considerations-in-the-early-termination-of-clinical-trials-in-surgery
Reliability of Routinely Collected Data. Outcomes after surgery – what else should we be looking at? Considerations in the Early Termination of Clinical Trials in Surgery. This question was tackled in an important randomised clinical trial. A randomised prospective multicenter trial of pancreaticoduodenectomy with and without routine intraperitoneal drainage. The trial was stopped early because there were more deaths in the group who didn’t have a drain. The question that remains: was it the ab...My feel...
DataSurg | Organise your data
http://www.datasurg.net/r-videos/organise-your-data
Reliability of Routinely Collected Data. Outcomes after surgery – what else should we be looking at? Use R to specify factors, recode variables and begin by-group analyses. This file contains data on pain score after laparoscopic vs. open hernia repair. Age, gender and primary/recurrent hernia also included. The ultimate aim here is to work out which of these factors are associated with more pain after this operation. Organise your data #. This is how to check your data, recode variables and. This may al...
DataSurg | Latest in the war against p-values
http://www.datasurg.net/2015/01/29/latest-in-the-war-against-p-values
Reliability of Routinely Collected Data. Outcomes after surgery – what else should we be looking at? Latest in the war against p-values. P-values are Public Enemy Number 1 for many statisticians. Stats bloggers, such as Andrew Gelman. Rant frequently with justification about p-value abuse in published journals. XKCD. Is a highly recommended geeky Web comic! Click to email this to a friend (Opens in new window). Share on Facebook (Opens in new window). Click to share on Twitter (Opens in new window).
DataSurg | Bayesian statistics and clinical trial conclusions: Why the OPTIMSE study should be considered positive
http://www.datasurg.net/2015/02/16/bayesian-statistics-and-clinical-trial-conclusions-why-the-optimse-study-should-be-considered-positive
Reliability of Routinely Collected Data. Outcomes after surgery – what else should we be looking at? Bayesian statistics and clinical trial conclusions: Why the OPTIMSE study should be considered positive. Statistical approaches to randomised controlled trial analysis. There are pros and cons to both sides, nicely discussed here. But I would argue that the results of frequentist analyses are too often accepted with insufficient criticism. Here’s a good example. It sounds like common sense that this would...
DataSurg | House of God and bile leak after liver resection
http://www.datasurg.net/2015/01/12/house-of-god-and-bile-leak-after-liver-resection
Reliability of Routinely Collected Data. Outcomes after surgery – what else should we be looking at? House of God and bile leak after liver resection. In HPB January 2015. The ISGLS use their definition and grading system to prospectively evaluate bile leak after liver resection. In this up-to-date series, the overall complication rate of 38% is striking. Although only 8.8% of complications were classified as severe, this rate is not improving. Interventions to reduce this rate should surely ...Click to ...
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Summing up my criticism against Propublica’s Scorecard | Statistical Reflections of a Medical Doctor
https://statmd.wordpress.com/2015/08/26/summing-up-my-criticism-against-propublicas-scorecard
Statistical Reflections of a Medical Doctor. This blog is about probability and stats as applied to solve patient problems and other stuff! Laquo; The little mixed model that could, but shouldn’t be used to score surgical performance. Estimating the mean and standard deviation from the median and the range. Summing up my criticism against Propublica’s Scorecard. Avg number of complications per individual 50) for otherwise infrequent events. Actually says one should scrap the Cox survival model for genera...
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Codito, ergo sum.
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DataSurg | Science, Surgery, Data ...
Divslides" data-cycle-timeout="5000" data-cycle-pause-on-hover="true" data-cycle-prev="#sliderprev" data-cycle-next="#slidernext". P-values from random effects linear regression models. Is a useful frequentist approach to hierarchical/multilevel linear regression modelling. For good reason, the model output only includes t-values and doesn’t include p-values (partly. Prediction is very difficult, especially about the future. Radical but conservative liver surgery. Out latest paper published in the BJS de...
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