Section 1

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What is the gold standard for a study

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Last updated

6 years ago

Date created

Mar 1, 2020

Cards (73)

Section 1

(50 cards)

What is the gold standard for a study

Front

Randomized, double blinded clinical trial

Back

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

Front

67%

Back