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What is the the method by which facts or data are used to estimate truth?
Statistics
What is a field that applies statistical methods to answer questions in public health, medicine, or biology?
Biostatistics
Biostatistics provides tools and techniques for ____,____,____, and _____ ____
collecting, summarizing,
analyzing, and interpreting data
What is individual pieces of information recorded & used for analysis?
data
What is a collection of individuals who share at least one common or organizing characteristic?
Population
What is a sample?
subset of the population of interest
What is a measure of computed for the entire population of interest?
Population parameter
What is a measure taken from the sample that is
used to estimate the population parameter?
Sample statistic
What is it called when you use sample-based data to infer conclusions about the population?
Estimation
What is the degree to which characteristics of the sample correspond to the characteristics of the population from which the sample was chosen?
Representativeness
If samples taken are _____ of the population of interest, they will provide good ____ for the population overall, and allow us to make an ____ about the population samples were drawn from.
representative, estimates, inference
What are FOUR examples of how we pick individuals for our study sample?
◦ Convenience sampling
◦ Systematic sampling
◦ Simple random sampling
◦ Stratified random sampling
What is the goal of sampling?
obtaining a representative sampling
What sampling technique subjects selected by an arbitrary and easily performed method?
Convenience sampling
Convenience sampling is prone to ____ ___ and (is/isnt) recommended
selection bias, isnt
What sampling technique shows investigators select subjects at a regular interval selected in advance?
Systematic sampling
T/F Systematic sampling is easier when you cannot access a list of characteristics of your population in advance
True
What sampling method produces unbiased estimates of parameters, and is the best way to ensure good internal validity and reduce impact of confounding variables?
Simple random sampling
What process shows that every individual has an equal chance of being selected?
Random process
What sampling technique has the population is divided into strata or groups based on certain characteristics and then sampled using random sampling?
Stratified random sampling
When would you use a Stratified random sampling method?
Used when a population is diverse and investigators want to make sure every group is
properly represented in the sample
What are some examples of strata?
age, farm, parity, breed
T/F The larger your sample size, the greater the statistical "power" of your study
True
Must choose the sample size needed for your research question prior to ____ your study
beginning
T/F Association means Causation
false, it does not mean
Association does not imply ____
causation
T/F Confounding, bias, or other sources of error
can create misleading relationships, so
multiple lines of evidence are required before
concluding cause and effect
True
What provide the best evidence in favor of causality, but you may not be able
to perform an RCT due to ethical reasons or rare disease/event?
Randomized controlled trials
What TWO kinds of studies can show an association between exposure and outcome. but if you find a statistically significant association between exposure and outcome, you still cannot say that the exposure CAUSED the outcome?
Cohort studies or case control studies
How do you determine causation?
•Establishing an association between the exposure and
outcome is a crucial first step.
•Then consider the entire body of evidence to try and arrive at a reasonable conclusion about the relationship between the exposure and outcome & potential causality.
Wha are the criteria for causality? (8)
•Strength of association between exposure and outcome
•Consistency or reproducibility of results
•Temporality: exposure or risk factor must precede outcome
•Specificity: single cause/single effect
•Biological gradient
•Plausibility/coherence
•Experimental evidence
•Analogy
With the criteria for causality, which is the only criteria that MUST be present for judgement of
causality?
Temporality
What criteria for causality that has dose-response relationship between cause and outcome?
Biological gradient
What criteria for causality shows findings go along with current evidence to date and makes biological sense?
Plausibility/coherence
What are THREE sources of error?
Random error
Bias
Confounding
What occurs when values from your sample (sample statistics) differ from the values (parameters) of the parent population?
Random error
____ ___ is the reason why if we take different
samples and measure them, we might get a slightly different estimate every time.
Random error
What can you do to decrease random error?
Increase sample size!
What SYSTEMATIC ERRORS IN A STUDY THAT LEAD TO FALSE CONCLUSIONS (IMPACT ACCURACY?
Bias
What is a consistent deviation from the truth due to study design, data collection method, or analysis?
Bias
Errors due to bias are ___ and ___
systematic and
repeatable
What do random errors arise from?
random
fluctuations in measurements
What type of bias is a measurement error
in assessment of exposure or outcome?
Information bias
What type of bias differences between
those who participate and those who do not?
Selection bias
What type of information bias "instrument over or underestimates measurement"?
Detection Bias
What type of information bias questions that
influence responses?
Interviewer bias
What type of information bias in a retrospective study, if participants cannot recall details/exposures well?
recall bias
What type of information bias investigators or
participants modify behavior or responses when they are aware of what group they're in?
Performance bias
What type of information bias result of
investigator's previous knowledge of the hypothesis or of an individual's specific status?
Observer bias
What are THREE things that you can do to control information bias?
standardized protocol, blinding, quality control
What is a systematic distortion of the
exposure-outcome relationship due to the way
participants are selected or retained in the study?
Selection bias
What occurs when the method of
selecting participants results in a sample that
differs systematically from the target population?
Sampling bias
What occurs when participants who leave the study differ from those who remain?
Loss to follow-up (attrition bias)
The following is an example of what?
Studies that recruit individuals directly from clinics miss all those who do not seek veterinary care or cannot afford it
Selection bias
What is distortion of the association between an exposure and outcome by an extraneous, third variable called a confounder?
Confounding
What are THREE things that can be used to describe a Confounding variable?
◦ Is correlated (associated) with both variables of interest
◦ Has its own effect on the outcome
◦ Is not in the causal pathway between exposure and outcome
What are THREE things that can hep you to avoid confounding?
• Perform highly controlled experiments: eliminate all other sources of variation between the two groups except the exposure itself
• Randomly assign treatments
• Attempt to identify confounder ahead of time, collect data on it, and include it in your analysis
____ ____ can cause inaccurate (biased) 'estimates of effect' in observational studies, even if the confounding variables are not known.
Confounding variables
Association or causation? (tbh just read)
Dogs that wear flea collars are more likely to have fleas. Do flea collars cause fleas?
No, dogs prone to flea infestations are more likely to have a flea collar placed
reverse causation, if collars are placed after infestation. Or you could consider that underlying flea risk is the confounder here
Example of Association or causation?
A dog develops IMHA within two weeks of receiving a vaccination.
Did the vaccine cause the IMHA? There was a temporal association, right?
Consider selection
bias here. Dogs that are vaccinated are more likely to have owners that have access to and seek veterinary care.
Example of Association or causation?
Pets that are insured have more cancer diagnoses. Does having pet insurance cause higher rates of cancer?
◦ No. Owners that utilize pet insurance are more likely to pursue aggressive diagnostics if their pet is ill.
selection bias because uninsured pets are
less likely to be tested for cancer
In 12 Otterhound dogs (rare breed), 2 develop lymphoma.
Does this mean there is a breed predisposition to lymphoma in Otterhounds?
◦ No Why?
The sample size is extremely small, resulting in substantial random error and imprecise risk estimates. With such a small denominator, clustering could occur by chance.