CPH Exam: Biostatistics/Questions
with Accurate answers
Biostatistics definition: - - The development and application of statistical
reasoning and methods in addressing, analyzing, and solving problems in
public health, health care, biomedical, clinical, and population-based
research.
- Population - - the collection of all units (usually people) that we wish to
make inferences about.
- Sample - - a subset of the population
- Bias - - *a systematic error in a study that leads to uncertainty about the
estimates generated from the study.
*actually caused by the investigators in the design or conduct of the study
- Paramaters - - Summary measures based on population data
- Statistics - - estimates derived from sample data
- Descriptive statistics - - involves describing the data collected in the study
sample
- Inferential statistics - - involves generating inferences about population
parameters based on estimates derived from the study sample.
- Discrete variables - - *variables that assume only a finite number of values
*Ex. whether or not a participant is taking lipid lowering treatment (yes or
no), their blood type (A, B, AB or O), or symptom severity (none, mild,
moderate, or severe).
- Dichotomous - - Discrete variables with two response options
- Categorical/nominal - - discrete variables with more than 2 unordered
response options
- Ordinal variables - - discrete variables with more than 2 ordered response
options
- Continuous variables (quantitative) - - *can take on any value within a
range of plausible values.
*Ex. total serum cholesterol level, height, weight and systolic blood pressure
with Accurate answers
Biostatistics definition: - - The development and application of statistical
reasoning and methods in addressing, analyzing, and solving problems in
public health, health care, biomedical, clinical, and population-based
research.
- Population - - the collection of all units (usually people) that we wish to
make inferences about.
- Sample - - a subset of the population
- Bias - - *a systematic error in a study that leads to uncertainty about the
estimates generated from the study.
*actually caused by the investigators in the design or conduct of the study
- Paramaters - - Summary measures based on population data
- Statistics - - estimates derived from sample data
- Descriptive statistics - - involves describing the data collected in the study
sample
- Inferential statistics - - involves generating inferences about population
parameters based on estimates derived from the study sample.
- Discrete variables - - *variables that assume only a finite number of values
*Ex. whether or not a participant is taking lipid lowering treatment (yes or
no), their blood type (A, B, AB or O), or symptom severity (none, mild,
moderate, or severe).
- Dichotomous - - Discrete variables with two response options
- Categorical/nominal - - discrete variables with more than 2 unordered
response options
- Ordinal variables - - discrete variables with more than 2 ordered response
options
- Continuous variables (quantitative) - - *can take on any value within a
range of plausible values.
*Ex. total serum cholesterol level, height, weight and systolic blood pressure
