Biostats Flashcards

1
Q

If a sample has a normal distribution, what percent of the sample is included in…

  • 1 SD
  • 2 SD
  • 3 SD
A
  • 1 SD = 68%
  • 2 SD = 95%
  • 3 SD = 99.7%
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2
Q

How do the mean, median, and mode relate if a data set is positively skewed? Negatively skewed?

A
  • positive: mean > median > mode (long tail to right)

- negative: mode > median > mean (long tail to left)

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3
Q

What are type I and type II errors?

A
  • type I is rejecting the null when it is actually true

- type II is accepting the null when it is actually false

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4
Q

What are alpha and beta values? How do they relate to error?

A
  • alpha is the probability of a type I error and is equal to the p value
  • beta is the probability of a type II error and 1 - B equals the power of the study
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5
Q

What is the power of a study?

A
  • it equals 1 - B

- it increases with sample size as the probability of a type II error decreases

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6
Q

What are the following tests used for?

  • unpaired t-test
  • paired t-test
  • ANOVA
  • Chi squared
A
  • unpaired T-test: compares numerical measurements taken from two different groups
  • paired T-test: compares two different numerical measurements taken from a single group
  • ANOVA: compares numerical means of three or more groups
  • Chi squared: compares categorical outcomes between two or more groups
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7
Q

What is the best statistics test to compare the BMI in patients before versus after getting a sleeve gastrectomy?

A

paired T-test

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8
Q

What is a Kaplan-Meier analysis good for?

A

identifying differences in survivorship over time between two or more groups

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9
Q

What are multivariate logistic and multivariate linear regressions used for?

A
  • multivariate logistic regression: to identify and adjust for multiple potential factors contributing to a categorical outcome
  • multivariate linear regression: to identify and adjust for multiple potential factors contributing to a numerical outcome
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10
Q

What are case reports and case series?

A
  • a case report is one of a single event or patient

- a case series is of a small number of similar events or patients

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11
Q

What is the difference between the following:

  • cross-sectional study
  • cohort study
  • case-control study
A
  • cross-sectional study: analyze a population at a particular moment in time to determine the prevalence of factors and disease
  • cohort: a population of subjects are analyzed to associate certain factors with an outcome (prospective or retrospective), determining the relative risk
  • case-control: patients who had an outcome happen are compared to those who did not (always retrospective and can only determine an odds ratio)
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12
Q

What is a propensity-score-matched study?

A
  • an observational study that attempts to reduce the presence of confounding variables and replicate a RCT
  • cases are selected so that the subjects in both groups are similar across multiple factors
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13
Q

What is a crossover study?

A

one in which each subject receives both interventions, serving as their own control

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14
Q

What occurs in the four phases of a clinical trial?

A
  • 1: a small number of healthy subjects are used to test the pharmacology and side-effects of the drug
  • 2: a small number of diseased subjects are used to test the efficacy and dosing of the drug
  • 3: RCT to compare the drug to an existing therapy
  • 4: ongoing surveillance after the drug is approved to identify long-term side-effects and efficacy
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15
Q

What are absolute and relative risk?

A
  • absolute is the overall probability of the outcome (percent it occurred in both groups)
  • relative is the probability of the outcome occurring in the exposed group divided by the probability of it occurring in the unexposed group
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16
Q

Give an equation for relative risk and for the odds ratio.

A
  • RR = (a/(a + b)) / (c/(c+d))

- OR = (a/b) / (c/d)

17
Q

How is relative risk reduction calculated?

A
  • it equals 1 - RR

- it is the proportion of decreased risk due to not being exposed

18
Q

What is an odds ratio and how is it calculated?

A
  • the odds of the outcome in the exposed group compared to the unexposed group
  • (a/b) / (c/d)
19
Q

How is absolute risk reduction calculated?

A

% of outcome in unexposed group - % of outcome in exposed group

20
Q

How do PPV and NPV differ from sensitivity and specificity?

A

predictive values take into account the prevalence of the disease in the study population

21
Q

How are PPV, NPV, sensitivity, and specificity calculated?

A
  • PPV = TP / (TP + FP)
  • NPV = TN / (TN + FN)
  • sensitivity = TP / (TP + FN)
  • specificity = TN / (TN + FP)
22
Q

What are the following types of bias:

  • lead-time
  • length-time
  • surveillance
  • allocation
  • Hawthorne
A
  • lead-time: falsely concluding that patients live longer because they are diagnosed earlier
  • length-time: falsely concluding that screening improves survival when it only detects more benign disease courses
  • surveillance: falsely concluding that a disease is becoming more prevalent when we are testing for it more frequently
  • allocation: a confounding factor affects the likelihood that a subject is assigned to a particular study group
  • Hawthorne: subjects behave differently when knowingly observed