Stats Flashcards
Which of the following is NOT an advantage of anesthesia information management systems (AIMS)?
Anesthesia information management systems (AIMS) are being used more frequently and have many positive attributes, however there are still limitations that need to be worked out, especially with cost and integration.
Which of the following statistical tests should be used to compare whether the incidence of postoperative vomiting differs between women ages 21-64 in the intensive care unit versus the floor unit?
Chi-square testing is used for comparison of two or more populations with respect to a single variable with categorical data (nominal scale).
A recently published study has a β error of 0.2 and a target α of 0.05. Which of the following is the power of this study?
Power = 1-β. Practically speaking, the power tells us the chance that the null hypothesis (e.g. no treatment effect from a particular drug) will be rejected when an alternative hypothesis is actually true (e.g. a drug does have a treatment effect). The larger the sample population (usually denoted as “n = some number”), the greater the power.
An investigator wishes to evaluate the mortality benefit of a new intubation technique. His results are as follows: 100 patients died using direct laryngoscopy, while 10 died using the new technique; 900 patients survived using direct laryngoscopy, while 200 survived using the new technique.
Which of the following is the odds ratio for dying using direct laryngoscopy as compared to the new intubation technique?
The odds ratio measures the ratio of the odds that an event will occur to the odds of the event not happening.
Using the table format, OR = (a/b)/(c/d), or, OR = (ad)/(bc)
Which of the following is the primary barrier when converting from a paper anesthesia record to automated anesthesia record-keeping?
When compared with paper records, automated records have several advantages including greater speed of filing, faster retrieval, easier transmission of information, and data analysis. Disadvantages include cost, need for anesthesia machine integration, user knowledge, data safety issues, and capture of erroneous data.
An investigator wishes to test the efficacy of a novel antiemetic medication on postoperative nausea and vomiting against that of ondansetron. Patients enrolled in the study are randomized to either group. The institution’s pharmacy creates coded labels for the two medications (known only to them) and the investigator injects one vial to patients enrolled in the study 30 minutes prior to extubation. Which of the following MOST accurately describes the blinding of the study?
Double-blinded studies are those in which both patients and investigators do not know which therapeutic measures patients receive.
Which of the following is true of the chi-squared test?
The chi-square test is a nonparametric test to compare nominal or ordinal data comprising of one to multiple sample tests.
Which of the following equations describes specificity?
Specificity = TN / (TN+FP). Specificity is the percentage of time a test is truly negative. By definition, it takes into account the cases which yield a false positive (FP) test.
Which of the following does NOT determine fluid flow rate according to the Hagen-Poiseuille law?
To maximize flow rates the most important aspect is the radius. Other contributing factors to fast flow rates are high pressure, low viscosity, and short tubing. If flow is turbulent, reducing the density helps convert flow to laminar according to Reynolds number.
In a study comparing prone versus supine positioning in ICU patients diagnosed with acute respiratory distress syndrome (ARDS), improvement in the PaO2 had a standard deviation of 10 in the prone group. If the study consisted of 100 patients, which of the following would be the standard error of the mean?
Standard error of the mean (SEM) can be calculated by dividing the standard deviation (SD) by the square root of the sample size (n).
Assuming a normal distribution, which of the following approximates the percentage of data represented by μ ± σ, where μ = mean, σ = standard deviation?
Normal distribution indicates that data points are evenly distributed around the mean such that one standard deviation + or - from the mean contains 34.1% of points in each direction. Therefore, μ ± σ contains 68% of the data points under a curve that is normally distributed.
How is Bayes theorem used in anesthesia practice?
Bayes theorem is used to help develop preoperative testing algorithms by helping clinicians interpret testing results in light of the patient presentation and surgical procedure. Bayes theorem states that the post-test probability of a person having a disease is related to both the sensitivity and specificity of the test and the prevalence of the disease in the population. In other words, it describes the probability of an event, based on conditions that might be related to the event (conditional probability).
A study is being designed to determine which of two techniques for bowel re-anastomosis will result in the fastest return of bowel function following surgery. Patients are to be randomized to one of the two groups following the induction of anesthesia and details are not discussed after emergence. The surgeons who perform the procedure will record how many hours following surgery each patient had his/her first bowel movement. At the conclusion of the study, all data will be analyzed by the hospital’s statistical team. Which of the following BEST describes the type of blinding used in this study?
Single blinded studies are those in which only the participants are masked to which group they belong. Double blinded studies are those in which the participants and investigators are masked to participant assignment. Triple blinded studies are those in which the participants, investigators, and an additional third-party are masked. An unblinded study does not involve any masking.
In a study of 100 patients with acute coronary syndrome, the average troponin was 7 with a standard deviation (σ) of 1. Which of the following is the standard error of the mean of their average troponins?
Standard error of the mean is equal to the standard deviation divided by the square root of the sample size. If standard deviation is 1 and population size is 100, then SEM = 0.1.
What is the standard error when the standard deviation is 4 , the sample size 100, upper limit 2, and lower limit 8?
SE = SD / square root (N)
TrueLearn Insight : The standard error is a type of standard deviation and is a measure of the precision of the sample mean.