How does the positive predictive value change with disease prevalence
Front
It increases as the prevalence of a disease increases
If the prevalence of a disease is low, the PPV is also low
(PPV is the same as the direction of the prevalence)
Back
When can the odds ratio be used to approximate the relative risk?
Front
When the disease being evaluated has a very low prevalence.
The Rare disease assumption says that when the prevalence is very low, the odds ratio from a case control study can be effectively used to estimate the Relative risk
Back
What are cohort studies
Front
They evaluate people without a disease and categorize them into exposure vs not exposed. They are then followed over time, and the incidence of the disease is determined later in each group to evaluate the exposure risk
Back
What is the purpose of using Matching during a case control studies
Front
Decrease the likelihood of a confounding variable
Back
What kind of study evaluates a population to determine disease prevelance
Front
cross sectional
Back
What do cross sectional studies measure
Front
Prevalence of disease
Back
How can you use the sensitivity to calculate the false negative ratio
Front
1 - sensitivity
Back
Do you use sensitivity or specificity to screen
Front
sensitivity
Back
What are case control studies
Front
A study to compare the frequency of expsure to a possible risk factor between people with a disease, and people without a disease
Evaluates people with lung cancer and people without lung cancer and compares exposure to asbestos between both groups
Back
What does a positive likelihood ratio indicate
Front
Shows how much the odds of disease are increased if the test result is positive
If a very positive LR, then a positive test means that it is very likely the disease is present (unlikely to be false positive)
Back
What do cohort studies measure
Front
relative risk and incidence of disease
Back
How are groups in case control studies selected
Front
Selected as either having the disease or not, then evaluating those people for the risk factor in question
Back
Are cohort studies retrospective or prospective?
Front
Can be either - the cohorts can be assembled now and watched for a prospective study, or gathered from past records and followed to current day for a retrospective study
Back
What is selection bias
Front
When participants in a study are selected in a way that causes them to be more or less likely to have a disease, exposure, etc, than the general population
Back
How do you calculate the odds ratio, given the disease vs risk table values
Front
AD/BC
Back
If a test has a NPV of 97 percent, and a patient's test is negative, what is the likelihood that the patient actually does have the disease
Front
3 percent
Back
When can you use a case control study to determine the relative risk of an exposure to a disease
Front
when the prevalence of that particular disease is very low
Back
What is the attributable risk percentage
Front
The excess risk a population exposed to something has of developing a disease
Calculate:
(Risk of smokers developing lung cancer minus the risk of non-smokers developing lung cancer)/risk of smokers developing lung cancer
Also can be calculated with Relative risk.
(RR - 1)/RR
Back
What kind of study measures odds ratio
Front
case control
Back
How do you calculate the false positive ratio using specificity
Front
1 - specificity
Back
What is the power of a study
Front
probability that the study will find a statistically significant difference when one is present
How likely is the study to find the difference that exists
Back
What is a likelihood ratio?
Front
expresses how much more or less likely a given test result is in diseased as opposed to nondiseased people
Back
What study do you use to measure the incidence of a disease
Front
cohort study
Back
What type of error states there is a relationship when there really isn't one
Front
Type 1 error
Alpha error
Back
What type of error states there is not a relationship when there really is
Front
Type II error
Beta error
Back
What is the negative predictive value
Front
Probablity that a patient with a negative does not have the disease
If the pregnancy is negative, a test with a high NPV means they likely are not pregnant
Back
What are cross sectional studies
Front
A study that is a snapshot in time to assess risk factors and outcomes of people in a particular population
Back
How to calculate False negative ratio using the sensitivity
Front
1 - sensitivity
Back
How do you calculate Negative predictive value
Front
D/(C+D)
Number of disease free people with a test divided by the total number of those with negative tests
Back
What does a negative likelihood ratio indicate
Front
Shows how much the odds of a disease are decreased if the test is negative
A very negative LR shows that if the test is negative, it is very unlikely the disease is present (false negative is unlikely)
Back
How do you interpret relative risk
Front
A relative risk over 1 is indicates an increased risk of disease because of an exposure, with the higher number indicating a more increased risk (smokers getting cancer, RR of 4 indicates a higher connection and risk than a RR of 3)
A relative risk below one indicates that there is a decreased risk of getting a disease following an exposure to something (smoking having a RR of 0.5 for endometrial cancer, indicates smoking is protective against endometrial cancer). Again, the farther from 1, the more protective an exposure is to the disease
Back
What kind of study determines whether or not someone has an exposure to something, then follows them to assess for the presence of a disease
Front
cohort study
Back
How do you calculate relative risk, given the disease vs risk table values
Front
(A/A+B) / (C/C+D)
Back
What is Matching during a case control study
Front
When researchers match participant characteristics.
They match females to females, old people to old people, etc
Back
If you decrease the lab cutoff that indicates a positive value, what happens to the PPV, NPV, specificity, and sensitivity?
Ex, if you change the D-Dimer level from 0.5 to 0.3, what are you doing to the PPV, NPV, specificity, and sensitivity
Front
The NPV and sensitivity will increase, while the PPV and specificity decrease
By decreasing the level, you are saying I'm not taking any chances that the elevated level isn't just incidental, and will consider it for any level. Because now the value for a positive test is incredibly low, you know that if the test is negative, that clot is not there
Back
What is the positive predictive value
Front
Probability that a patient with a positive test has the disease
If the pregnancy test is positive, a test with high positive predictive value means they are likely pregnant
Back
How do you calculate the number needed to treat
Front
1/absolute risk reduction (the differences in percentage of disease occurrence)
If 20 percent of people get the flu, and only 10 percent who are vaccinated get the flu, then ARR = 0.20 - 0.10 = 0.10 (subtract the percent, not the whole number)
In this case, the NNT is now 1/0.10 = 10
Back
What is relative risk?
Front
Expresses how much more likely a disease is to happen in a person who is exposed to something (how much more likely is someone to get mesothelioma from asbestos). It indicates a relative strength of connection between the disease and exposure
RR = Incidence in exposed/incidence in unexposed
Back
How do you calculate the positive predictive value
Front
A/(A+B)
Number of Diseased w/ positive test divided by the total number of those with positive tests
Back
What is an odds ratio
Front
It compares the odds of an exposure in people with a disease compared to those without a disease. It is an estimate of relative risk that is used in Case control studies. Case control studies are cheap and easy, but can't calculate RR, only the odds ratio.
Back
If you increase the lab cutoff that indicates a positive value, what happens to the PPV, NPV, specificity, and sensitivity?
Ex, if the D-Dimer significant positive result is moved from 0.5 to 0.7, what happens to the PPV, NPV, specificity, and sensitvity?
Front
If the cutoff point is increased, the PPV and specificity will increase, because it is a more significant value, decreasing the likelihood that the value is incidentally increased
NPV and sensitivity will decrease, because you are raising the level that is required to have the disease (they could have a clot with a D-dimer of 6, but now because the test is 7, this will be ruled insignificant).
By increasing the level, you are making sure that the test shows they have the disease and that it isnt incidental
Back
What is the number needed to treat
Front
How many people need to be treated to benefit one person
Give antibiotics to 7 people for one person to actually benefit from them
Back
What is the Absolute risk reduction
Front
Difference in risk attributable to an intervention. (absolute, not a proportion). If 20 percent of the population get the flu, and only 10 percent who are vaccinated get the flu, the Absolute risk reduction is 10 percent.
Back
What value is calculated using a case control study
Front
The Odds ratio
Back
Do you use a sensitive or specific test to confirm a diagnosis
Front
specific
Back
What kind of study gathers people into diseased vs undiseased then assesses for risk factors
Front
case control
Back
Are case control studies prospective or retrospective?
Front
Retrospective
Back
How does the negative predictive value change with changes in disease prevalence
Front
The lower the disease prevalence, the higher the negative predictive value.
If there is a high prevalence, the NPV is very low
(NPV is opposite the direction of the prevalence)
Back
How is the power of a study measured
Front
1 - Beta (type II error) (aka probability of determining there is no relationship when there really is one)
Back
Section 2
(23 cards)
How does changing the number of subjects or data points alter the power of a study
Front
Increases the power as the sample size increases
Back
What statistical analysis do you use when evaluating 3 or more variables
Front
ANOVA
Back
What percent of values from the mean are contained in 2 standard deviations
Front
95%
Back
What type of bias occurs when members of a study change their behavior because they know they are being watched
Front
Hawthorne effect
Back
What is confounding
Front
bias that can result when the exposure-disease relationship is mixed with the effect of extraneous factors
Example, disease is studied to evaluate alcohol use and cancer, when the alcohol users also smoke more than the non-drinkers - tobacco use becomes a confounding variable
Back
In a statistical analysis when you are comparing two averages, rather than 2 categories, what do you use
Front
Two sample T test
Back
If a 95 percent confidence interval contains zero, can it be statistically significant (or 1.0 if evaluating RR)
Front
No - if the interval contains the null value (0% or 1 if using RR), it is not statistically significant
Back
What p value indicates statistical significance?
Front
p < 0.05
Back
What is the false negative rate equal to
Front
1 - seNsitivity
Back
When you are evaluating an association between two groups that are classified in categories rather than numbers, what kind of statistical analysis do you do
Ie, when the outcomes being analyzed are classified as either high or normal, or present or not.
Front
Chi squared
Back
What type of bias occurs when only hospital patients are evaluated and studied rather than the entire population
Front
berkson bias
Back
What does the effect of a larger sample size have on the confidence interval
Front
It will narrow the confidence interval, to help find the most accurate points
Back
What is measurement bias
Front
when the meathod of measurement or data collection differs between groups
Some get a CT and some get an MRI when looking at brain tumor treatments
Back
What is recall bias
Front
When those in a retrospective study cannot remember accurately
(retrospective studies require someone to remember - there was a pregnancy complication, were you exposed to this during pregnancy? Can create some errors in data, as some people can't remember things well)
Back
What is a latency bias,
Front
When a risk factor or intervention needs significant amount of time to become significant
Ie, a smoker of 2 months does not appear to have an increased risk of cancer as opposed to years
Ie, statin users evaluated at 2 weeks have no decreaesd risk of heart disease, but do have a decreased risk at 2 years
Back
What is lead time bias
Front
When a disease is detected earlier, so it appears that the prognosis of the disease is improved, but not really
We caught the cancer 3 months earlier with this new test, and now patients live 6 months after diagnosis instead of the 3 months after diagnosis like they used to
Back
What is a factorial design study?
Front
when multiple interventions are being evaluated independently, each with two or more variables
Ie, when patient blood pressures are studied using beta blockers, CCBs, and ace-i, and each of those 3 drug groups is randomized into higher or lower blood pressure control groups. Evaluates multiple things at once
Back
What type of bias occurs when members of a study are lost to follow up?
Front
Attrition bias
Which is a type of selection bias
Back
What does a 95% confidence interval mean?
Front
There is a 95 percent chance that the interval given has the true value
Back
What type of study uses subjects as their own controls
Front
Crossover study
A patient is given a placebo for an amount of time, a washout period occurs, then they are given a real treatment (or vice versa)
Back
How does the 95 percent confidence interval change with a decreased sample size
Front
it becomes wider
Back
What is a length bias
Front
occurs when screening tests detect a disproportionate number of slowly progressive diseases but miss rapidly progressive ones, leading to overestimation of the benefit of the screen
A new screen detects cancer better, but its really only detecting a slow growing, harmless cancer
Back
What percent of values from the mean are contained in 1 standard deviation