Biliay colic @DrJuanKlopper

Uploaded January 2019 | Updated September 2026, 2 weeks ago

In this video on topics in emergency surgery for medical students and doctors, I discuss the common condition of biliary colic. Watch this video if your are preparing for the exams or are seeing a patient with biliary colic.

Biliary colic is the most common form of gallstone disease, an overarching term for all conditions caused by gallstones. As such, biliary colic is classified as uncomplicated gallstone disease.

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$Bootstrap resampling for confidence intervals and sampling distrubutions #DataScience #Bootstrap #Resampling #Julia #VSCode #Confidence #Intervals #Probability In this video I show you how to think about using bootstrap resampling to express uncertainty in a statistic and also how to think about the sampling distribution of a test statistic and the probability of that test statistic. Using the Julia Language in Visual Studio Code we generate values for a continuous numerical variable for two groups (generated from the two sample space elements of a categorical variable). Our test statistic is the difference in means for the variable between the two groups. We generate a sampling distribution of the test statistic under the assumption of the null hypothesis. The latter states that there is no difference between the two means, that is, the test statistic is zero. Given this assumption we can randomly reassign subjects to the two groups and recalculate the test statistic. Doing this many times over produces the sampling distribution. We can then see how many of the resampled tests statistics are below the negative of our test statistic and how many are more than positive our test statistic. Adding these and expressing it as a fraction of the number of resamples gives us the p value for our statistic. We also express the mean for the variable in both groups as a whole. We must consider the uncertainty in this statistic. We estimate the lower and upper bounds for the parameter in the population. This is the confidence interval.$

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