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Intro to Biostatistics Flashcards | StudBud
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Intro to Biostatistics
Intro to Biostatistics
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1
Which 4 of the following are examples of selection bias?
Healthy worker effect
Loss to follow-up
Observer bias
Migration bias
Detection bias
Sampling bias
2
In ____ sampling, the population is divided into groups based on certain characteristics and sampled randomly.
Stratified random
Systematic
Convenience
Simple random
3
_____ variables fall into groups (qualitative).
Categorical
Continuous
4
A randomized controlled trial satisfies the experimental evidence criteria for causality.
False
True
5
Which 5 of the following are examples of information bias?
Observer bias
Sampling bias
Detection bias
Interviewer bias
Recall bias
Performance bias
6
Establishing association is a crucial first step to determining causation.
True
False
7
Which 4 of the following are methods for controlling information bias?
Quality control for any equipment
Blinding
Asking leading questions
Only using case-control studies
Identical methods of data collection for all groups
Standardized protocol for data collection
8
A cohort or case-control study ______ definitively prove that an exposure caused an outcome.
Can
Cannot
9
Random sampling produces _____ estimates parameters.
Unbiased
Biased
10
______ is a measure taken from the sample that is used to estimate the population parameter.
Population statistic
Variable statistic
Sample statistic
Opinion statistic
11
____ is a measure computed for the entire population of interest.
Sample statistic
Population parameter
12
______ variables are usually the health outcomes, such as incidences of cancer.
Dependent
Independent
13
The x-axis of a graph is the ______ axis, or the “cause.”
Dependent
Independent
14
In loss to follow-up cases, those who left the study differed from those who remained in the study.
False
True
15
Which statistical test is used to examine the differences between categorical variables?
Linear regression
Plot data
Chi-square
Logistic regression
16
In ____ categorical variables, there is an order to the groups, such as BCS or education level.
Continuous
Nominal
Ordinal
17
______ occurs when those who are sampled are different from the population studied.
Selection bias
Interviewer bias
Observer bias
Information bias
18
Convenience sampling is prone to bias and not recommended.
False
True
19
_______ is fixed and unknown.
Population parameter
Sample statistic
20
_____ are identifying characteristics or measurements that has a different value for each individual.
Samples
Variables
Hypotheses
Populations
21
Which 2 of the following are types of bias?
Variable bias
Information bias
Population bias
Selection bias
22
Temporality posits that the exposure or risk factor must precede the outcome.
False
True
23
A confounder is correlated (associated) with both variables of interest.
False
True
24
_____ variables are the ones expected to influence the exposure, such as age.
Independent
Dependent
25
______ bias occurs when participants are chosen non-randomly.
Detection
Performance
Sampling
Migration
26
Which 3 of the following are sources of error in a study?
Number
Species
Bias
Prescribed error
Random error
Confounding
27
The y-axis of a graph is the _____ axis, or the “effect.”
Independent
Dependent
28
______ categorical variables have names and no order, such as hair coat color.
Nominal
Ordinal
Continuous
29
Random error can be decreased by _____ sample size.
Decreasing
Increasing
30
_____ is the distortion of the association between exposure and outcome by an extraneous third variable.
Quality control
Blinding
Selection bias
Confounding
31
In hypothesis testing, it is important to determine a unit of analysis (i.e. individual, barn, group, etc).
False
True
32
_____ is the only criteria for causality that MUST be present for judgment of causality.
Experimental evidence
Temporality
Specificity
Strength of association
33
Errors occurring due to _____ are systematic and repeatable.
Bias
Random error
Confounding
34
The smaller your sample size, the greater the statistical power of your study.
True
False
35
The reliability of results is determined by the _______.
P-value
F-value
K-value
Z-value
36
______ is a measurement error in the assessment of an exposure or outcome.
Information bias
Selection bias
37
Which of the following provides the best evidence in favor of causality?
Cross-sectional studies
Cohort studies
Case-control studies
Randomized controlled trials
38
A sample is a subset of the population of interest.
False
True
39
Which 3 strategies can help avoid confounding variables in studies?
Perform highly controlled experiments
Randomly assign treatments
Do not use random assortment for treatments
Identify confounder ahead of time
40
______ is a claim or statement about a characteristic of a population.
Sample
Variable
Hypothesis
Population
41
_____ variables have a numeric value (quantitative) such as temperature and birth weight.
Continuous
Categorical
42
Confounding variables _____ their own effects on outcomes.
Do not have
Have
43
A cohort or case-control study can show a(an) _____ between the exposure and outcome.
Association
Causality
44
In _____ sampling, investigators select subjects at a regular interval selected in advance.
Systematic
Convenience
Simple random
Stratified random
45
____ occurs when values from your sample differ from values of parent population.
Bias
Random error
Confounding
46
The ____ the p-value, the stronger the evidence is that you should reject the null hypothesis.
Smaller
Larger
47
The chances of error are _____ in a sample statistic due to variation.
Lower
Higher
48
Confounding variables _____ in the causal pathway between exposure and outcome.
Are
Are not
49
In ______ sampling, every individual has an equal chance of being selected since it is a random process.
Simple random
Convenience
Systematic
Stratified random
50
______ are differences between those who participate and those who do not.
Information bias
Selection bias
51
P-value is the probability of getting observed results or something more extreme given the null hypothesis is ____.
Incorrect
Correct
52
In ____ sampling, subjects are selected by an arbitrary and easily performed method.
Simple random
Convenience
Systematic
Stratified random
53
____ is a collection of individuals who share at least one common or organizing characteristic.
Sample statistic
Sample
Variable
Population
54
_____ describes the degree to which the sample corresponds to population characteristics from which it was chosen.
Population parameter
Estimation
Representativeness
Sample statistic