BIOSTATS: Describing Variation and Distribution of Data in Clinical Medicine
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Questions and Answers

Which type of error is caused by variations that can distort data in one direction and introduce bias?

  • Systematic error (correct)
  • Biological differences
  • Random error
  • Measurement error
  • Which type of variable is characterized by a defined, continuous measurement scale?

  • Random error
  • Quantitative Characteristic (correct)
  • Qualitative Characteristic
  • Nominal variables
  • What is the possible cause of variation in Clinical Medicine related to the presence or absence of disease?

  • Different techniques of measurement
  • Presence or absence of disease (correct)
  • Random variation
  • Different conditions of measurement
  • Which type of characteristic is described by features and words rather than numbers?

    <p>Qualitative Characteristic</p> Signup and view all the answers

    Which type of variable is based on measurement scales or rank orders and assigns numbers that have a coherent meaning?

    <p>Quantitative Characteristic</p> Signup and view all the answers

    What type of variable are naming or categoric variables not based on measurement scales or rank orders?

    <p>Nominal variables</p> Signup and view all the answers

    Which of the following is an example of a dichotomous variable?

    <p>Gender (male/female)</p> Signup and view all the answers

    What type of variable is skin color?

    <p>Nominal</p> Signup and view all the answers

    In which type of variable does 0 degrees indicate absolute zero?

    <p>Ratio</p> Signup and view all the answers

    Which of the following is an example of a ratio variable?

    <p>Height</p> Signup and view all the answers

    What type of variable is satisfaction with care (e.g. very satisfied, fairly satisfied)?

    <p>Ordinal</p> Signup and view all the answers

    Which type of variable shares characteristics of both discrete and continuous variables?

    <p>Risk and Proportions</p> Signup and view all the answers

    What type of variable is blood pressure (systolic & diastolic)?

    <p>Continuous</p> Signup and view all the answers

    Which type of variable is occupation?

    <p>Nominal</p> Signup and view all the answers

    What type of variable is the scale of 0-10 for pain, with 0 for no pain and 10 for worst imaginable pain?

    <p>Ordinal</p> Signup and view all the answers

    Which type of variable does satisfaction with care and amount of swelling in a patient’s legs illustrate?

    <p>Ordinal</p> Signup and view all the answers

    Quantitative Characteristic (Quantitative data) is characterized using a defined, continuous measurement scale. For example, ______ & ______ blood pressure, Serum sodium level

    <p>Systolic, Diastolic</p> Signup and view all the answers

    Systematic error is caused by variations that can distort data in one direction and can introduce ______. For example, weighing patients while wearing shoes

    <p>bias</p> Signup and view all the answers

    Nominal variables are naming or categoric variables that are not based on measurement scales or rank orders. Numbers assigned to nominal variables are merely numerical names but size of the number has no ______ meaning

    <p>coherent</p> Signup and view all the answers

    Qualitative Characteristic (Qualitative data) is described by features, words rather than ______

    <p>numbers</p> Signup and view all the answers

    Random error is caused by random variation, slight, inevitable inaccuracies in measurement and does not introduce ______. For example, Blood pressure

    <p>bias</p> Signup and view all the answers

    Possible causes of variation in Clinical Medicine include Biological differences, Presence or absence of disease, Stages or extent of disease, Different conditions of measurement, Different techniques of measurement, Measurement error, ______ variation

    <p>Random</p> Signup and view all the answers

    Blood groups, Occupation, Food groups, Skin color are examples of ______ variables

    <p>Nominal</p> Signup and view all the answers

    Variables with only two levels, such as Normal/Abnormal, Male/Female, Well/Sick, Living/Dead, are known as ______ variables

    <p>Dichotomous</p> Signup and view all the answers

    Data characterized in terms of three or more qualitative values that have a clearly implied direction from better to worse are called ______ variables

    <p>Ordinal</p> Signup and view all the answers

    Measurable data on continuous measurement scales that show the position of different observations relative to each other and the extent to which one observation differs from another are known as ______ variables

    <p>Continuous</p> Signup and view all the answers

    Variables derived from a continuous scale with a true 0 point are referred to as ______ variables

    <p>Ratio</p> Signup and view all the answers

    Variables that share some characteristics of both discrete and continuous variables, created by ratio of counts in the numerator to counts in the denominator, are known as ______ variables

    <p>Risk and Proportions</p> Signup and view all the answers

    The conditional probability of an event (e.g. death or disease) in a defined population in a definite period is an example of higher ______

    <p>Risk</p> Signup and view all the answers

    Temperature in Kelvin is an example of a ______ variable

    <p>Ratio</p> Signup and view all the answers

    Gender (Male/Female) is an example of a ______ variable

    <p>Dichotomous</p> Signup and view all the answers

    Blood pressure (Systolic & Diastolic) is an example of a ______ variable

    <p>Continuous</p> Signup and view all the answers

    Study Notes

    Types of Errors

    • Systematic error distorts data in one direction, introducing bias.
    • Random error arises from inevitable inaccuracies in measurement, not introducing bias.

    Variables and Measurement Scales

    • Continuous variables have a defined measurement scale where values can take any number within a range.
    • Nominal variables consist of categories without a measurement scale; numbers assigned have no meaningful size.
    • Ordinal variables are based on rank orders, where numbers convey a coherent meaning tied to their rank.
    • Dichotomous variables have only two levels (e.g., Normal/Abnormal, Male/Female).
    • Discrete variables have distinct, separate values, not allowing for fractional values.
    • Continuous variables allow for any value in a given range, represented by a measurement scale.

    Characteristics of Specific Variables

    • Blood pressure (systolic and diastolic) is an example of a continuous variable.
    • Skin color is categorized as a nominal variable.
    • The scale of 0-10 for pain is an example of an ordinal variable, indicating levels of severity.
    • Ratio variables have a true zero point, where 0 indicates an absolute absence of the measured characteristic (e.g., temperature in Kelvin).
    • Variables illustrating counts or ratios among groups (e.g., ratio of sick to healthy) are classified as ratio variables.
    • Qualitative variables (e.g., satisfaction with care) are described using features and words rather than numbers.

    Clinical Medicine Variations

    • Variation in clinical medicine can stem from biological differences, presence or absence of disease, stages of disease, and measurement techniques.
    • Conditions like the method of measurement or measurement error can also contribute to variations seen in clinical findings.

    Additional Notes

    • Examples of qualitative data features include the identification of blood groups, occupations, or food groups.
    • Variables that can express not just quantity but also characteristics often include demographic or health-related factors and can represent complex measurements.

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    Description

    Explore the concept of variation and distribution in clinical medicine, including possible causes of variation such as biological differences, disease presence or absence, stages of disease, measurement conditions, techniques, and errors. Learn about systematic and random errors in data measurement.

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