2023-02-20T07:08:36+03:00[Europe/Moscow] en true <p>Prevalence</p>, <p>incidence</p>, <p>Incidence proportion</p>, <p>point prevalence</p>, <p>people followed over a period of time will die</p>, <p>strength &amp; direction</p>, <p>mean, median, mode</p>, <p>range, standard deviation</p>, <p>b</p>, <p>a</p>, <p>a</p>, <p>coefficient of determination</p>, <p>spearman rank order</p>, <p>Pearson correlation coeffecient </p>, <p>standard deviation</p>, <p>up; down</p>, <p>Continuous variable</p>, <p>discrete variable</p>, <p>nominal</p>, <p>ordinal</p>, <p>interval variables</p>, <p>ratio variables</p> flashcards
Exam 1: Sadmin

Exam 1: Sadmin

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  • Prevalence

    -the number of individuals with a given diseases at a given point in time divided by the population at risk for that disease at that time

  • incidence

    -the number of new cases that have occurred during a given interval of time

  • Incidence proportion

    -represents the average risk of disease in a population during a specific time period

  • point prevalence

    -the proportion of individuals with a disease or characteristic at a specified point in time

  • people followed over a period of time will die

    What is a drawback associated with using incidence rate?

  • strength & direction

    The correlation coefficient measures what?

  • mean, median, mode

    What are measures of central tendency?

  • range, standard deviation

    What are measures of spread or variability?

  • b

    Which measure of central tendency is good for skewed, ordinal data?

    a) mean

    b) median

    c) mode

  • a

    Which measure of central tendency is best for continuous, normally distributed data?

    a) mean

    b) median

    c) mode

  • a

    Which measure of central tendency is sensitive to outliers?

    a) mean

    b) median

    c) mode

  • coefficient of determination

    -Often used in predictive modeling, telling us the proportion of a variable explained by another variable

  • spearman rank order

    -Often used to test correlation with ordinal, ranked nonparametric data

  • Pearson correlation coeffecient

    -Often used for continuous parametric data

  • standard deviation

    -Indicates how spread out the data is and to what degree the data is dispersed away from the mean (spread out over a smaller or larger range

  • up; down

    When calculating NNT, it is best to round ______. And when calculating NNH, it is best to round _______.

  • Continuous variable

    -does not possess gaps or interruptions characteristic of a discrete variable; can take on any value within a defined range.

  • discrete variable

    -characterized by gaps or interruptions in the values that it can assume

  • nominal

    -variables that can be placed into narrowly defined categories that are NOT in any particular order.

  • ordinal

    -variables that consist of narrowly defined categories that can be ranked or logically ordered.

  • interval variables

    -variables where a scale of ranked data represents meaningful differences between values, but lacks a defined zero point.

  • ratio variables

    -variables where a scale of ranked data represents meaningful differences between values and has a true zero point.