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How to calculate odds ratio with only incidence rates
Title: How to Calculate Odds Ratio with Only Incidence Rates: A Comprehensive Guide
Introduction:
Calculating odds ratios is a useful statistical technique to understand the relationship between two variables and determine the likelihood of an event occurring. Traditionally, odds ratios are calculated using raw data, but in some cases, only incidence rates are available. This guide aims to provide a simple and easy-to-understand approach to calculating odds ratio using only incidence rates, offering numerous benefits in various conditions.
I. Understanding Odds Ratio:
Before delving into the calculation method, let's quickly grasp the concept of odds ratio. It measures the strength and direction of association between two variables, commonly used in medical and social sciences research.
Benefits of Calculating Odds Ratio with Only Incidence Rates:
1. Accessibility:
- When raw data is not available, using incidence rates allows researchers to still determine odds ratios.
- Incidence rates are often provided in published studies, making it accessible to a broader audience.
2. Simplicity:
- Calculating odds ratio with only incidence rates provides a simpler approach, especially for those unfamiliar with complex statistical calculations.
- It eliminates the need for gathering extensive raw data, saving time and effort.
3. Generalizability:
- By utilizing incidence rates,
How do you interpret the odds ratio?
Important points about Odds ratio:
OR >1 indicates increased occurrence of an event. OR <1 indicates decreased occurrence of an event (protective exposure) Look at CI and P-value for statistical significance of value (Learn more about p values and confidence intervals here) In rare outcomes OR = RR (RR = Relative Risk)
How do you interpret reporting odds ratio?
The Reporting Odds Ratio (ROR) the odds of a certain event occurring with your medicinal product, compared to the odds of the same event occurring with all other medicinal products in the database. A signal is considered when the lower limit of the 95% confidence interval (CI) of the ROR is greater than one.
What is the interpretation of GEE?
Generalized estimating equations, or GEE, is a method for modeling longitudinal or clustered data. It is usually used with non-normal data such as binary or count data. The name refers to a set of equations that are solved to obtain parameter estimates (i.e., model coefficients).
What does odds ratio of 1.5 mean?
As an example, if the odds ratio is 1.5, the odds of disease after being exposed are 1.5 times greater than the odds of disease if you were not exposed another way to think of it is that there is a 50% increase in the odds of disease if you are exposed.
How do you interpret 0.5 odds ratio?
As an example, an odds ratio of 0.5 means that there is a 50% decrease in the odds of disease if you have the exposure. An example of an exposure with a protective factor would be brushing your teeth twice a day.
Frequently Asked Questions
What do log odds tell you?
Log Odds is nothing but log of odds, i.e., log(odds). In our scenario above the odds against me winning range between 0 and 1, whereas the odds in favor of me winning range from 1 and infinity, which is a very vast scale. This makes the magnitude of odds against look so much smaller to those in favor.
What does 0.5 odds mean?
In sports betting, “under 0.5 goals” refers to a betting market where the objective is to predict that the total number of goals scored in a match will be zero. This means that if you place an under 0.5 goals bet, you will win only if the match you bet on ends with no goals scored by either team.
What is the relationship between odds and probability?
The distinction is simple: The probability that an event will occur is the fraction of times you expect to see that event in many trials. Probabilities always range between 0 and 1. The odds are defined as the probability that the event will occur divided by the probability that the event will not occur.
How does frequency inform probability?
The finite frequency theory of probability defines the probability of an outcome as the frequency of the number of times the outcome occurs relative to the number of times that it could have occured.
What is the formula for calculating odds ratio?
In a 2-by-2 table with cells a, b, c, and d (see figure), the odds ratio is odds of the event in the exposure group (a/b) divided by the odds of the event in the control or non-exposure group (c/d). Thus the odds ratio is (a/b) / (c/d) which simplifies to ad/bc.
What is the odds ratio A and B?
Odds of an event happening is defined as the likelihood that an event will occur, expressed as a proportion of the likelihood that the event will not occur. Therefore, if A is the probability of subjects affected and B is the probability of subjects not affected, then odds = A /B.
What is the odds ratio compare two groups?
The odds ratio is a way of comparing whether the odds of a certain outcome is the same for two different groups (9). (17 × 248) = (15656/4216) = 3.71. The result of an odds ratio is interpreted as follows: The patients who received standard care died 3.71 times more often than patients treated with the new drug.
What is the Z test for odds ratio?
The Z-test for Odds Ratio shows whether the exposure affect the odds of outcome. OR=1 means exposure has no effect on the odds of outcome. OR>1 means exposure leads to higher odds of outcome and vice versa. The Z-test for 2 Proportions shows whether there is difference between the proportions of events in 2 groups.
What is the easiest way to calculate odds?
To convert from a probability to odds, divide the probability by one minus that probability. So if the probability is 10% or 0.10 , then the odds are 0.1/0.9 or '1 to 9' or 0.111. To convert from odds to a probability, divide the odds by one plus the odds.
What is the odds ratio between exposure and outcome?
What is an odds ratio? An odds ratio (OR) is a measure of association between an exposure and an outcome. The OR represents the odds that an outcome will occur given a particular exposure, compared to the odds of the outcome occurring in the absence of that exposure.
How do you interpret the odds ratio for a binary variable?
The interpretation of the odds ratio depends on whether the predictor is categorical or continuous. Odds ratios that are greater than 1 indicate that the event is more likely to occur as the predictor increases. Odds ratios that are less than 1 indicate that the event is less likely to occur as the predictor increases.
Is odds ratio dichotomous?
Many analyses in epidemiology, however, use the odds ratio scale because the outcome is dichotomous and the data arise from a case-control study design.
What do the odds of exposure mean?
The odds ratio is commonly used to report the strength of association between exposure and an event. The larger the odds ratio, the more likely the event is to be found with exposure. The smaller the odds ratio is than 1, the less likely the event is to be found with exposure.
FAQ
- Can odds ratio be more than 100?
- Odds represent the probability of an event occurring divided by the probability of an event not occurring. Although related, probability and odds are not the same. Probability values can only range from 0 to 1 (0% to 100%), whereas odds can take on any value.
- What is the maximum likelihood estimate of the odds ratio?
- The usual maximum likelihood estimator of odds ratio is defined as Odds ratio is nonnegative real value. When successes are similar in both groups, the odds ratio is equal to 1, meaning that groups are independent of response.
- How do you calculate overall odds ratio?
- In a 2-by-2 table with cells a, b, c, and d (see figure), the odds ratio is odds of the event in the exposure group (a/b) divided by the odds of the event in the control or non-exposure group (c/d). Thus the odds ratio is (a/b) / (c/d) which simplifies to ad/bc.
- What are large odds ratios?
- • An odds ratio of 4 or more is pretty strong and not likely to be able to be explained away by some unmeasured variables. • An odds ratio bigger than 2 and less than 4 is possibly important and should be looked at very carefully.
- Can odds ratio be infinite?
- An odds ratio of infinity means that the lists are highly dependent (not independent), as one is contained in other.
- How do you calculate the odds ratio?
- In a 2-by-2 table with cells a, b, c, and d (see figure), the odds ratio is odds of the event in the exposure group (a/b) divided by the odds of the event in the control or non-exposure group (c/d). Thus the odds ratio is (a/b) / (c/d) which simplifies to ad/bc.
- How are odds ratios reported?
- Odds ratios typically are reported in a table with 95% CIs. If the 95% CI for an odds ratio does not include 1.0, then the odds ratio is considered to be statistically significant at the 5% level.
- How do you calculate how much more likely something is?
- So for your example, starting with the 5 in 100 (0.05) chance:
- 3 times more likely would be 0.05 times 3 = 0.15.
- 120% more likely would be (1+120/100) or 2.2 times 0.05 = 0.11.
- 400% as likely would be 400/100 or 4 times 0.05 = 0.20.
- What is the odds ratio for dummies?
- The odds ratio is the ratio or comparison between two odds to see how they change given a different situation or condition. The odds ratio for a feature is a ratio of the odds of a bike trip exceeding 20 minutes in condition 1 compared with the odds of a bike trip exceeding 20 minutes in condition 2.
- How do you interpret odds ratio of 2?
- Here it is in plain language. An OR of 1.2 means there is a 20% increase in the odds of an outcome with a given exposure. An OR of 2 means there is a 100% increase in the odds of an outcome with a given exposure. Or this could be stated that there is a doubling of the odds of the outcome.
- How do you calculate effect size from odds ratio?
- A systematic review may encompass both odds ratios and mean differences in continuous outcomes. A separate meta-analysis of each type of outcome results in loss of information and may be misleading. It is shown that a ln(odds ratio) can be converted to effect size by dividing by 1.81.
- How do you compare odds ratios?
- Thus the odds ratio is (a/b) / (c/d) which simplifies to ad/bc. This is compared to the relative risk which is (a / (a+b)) / (c / (c+d)). If the disease condition (event) is rare, then the odds ratio and relative risk may be comparable, but the odds ratio will overestimate the risk if the disease is more common.
- How do you find the odds ratio between two variables?
- So case control studies the measure of association that we would calculate is called an odds ratio odds ratios are just that a ratio of odds. So in this case will be the odds of being exposed to
How to determine the maximal effect of two odds ratios
How do you interpret odds ratio significance? | Odds ratios typically are reported in a table with 95% CIs. If the 95% CI for an odds ratio does not include 1.0, then the odds ratio is considered to be statistically significant at the 5% level. |
What does an odds ratio greater than 1 indicates? | An odds ratio greater than 1 indicates that the condition or event is more likely to occur in the first group. And an odds ratio less than 1 indicates that the condition or event is less likely to occur in the first group. The odds ratio must be nonnegative if it is defined. |
What is an odds ratio greater than 1 in a case control study? | Important points about Odds ratio: Calculated in case-control studies as the incidence of outcome is not known. OR >1 indicates increased occurrence of an event. OR <1 indicates decreased occurrence of an event (protective exposure) |
What if odds ratio is equal to 1? | If an odds ratio (OR) is 1, it means there is no association between the exposure and outcome. So, if the 95% confidence interval for an OR includes 1, it means the results are not statistically significant. |
What is odds ratio associated with? | An odds ratio (OR) is a measure of association between an exposure and an outcome. The OR represents the odds that an outcome will occur given a particular exposure, compared to the odds of the outcome occurring in the absence of that exposure. |
What does an odds ratio of 1 mean quizlet? | An odds ratio = 1 implies that the event is EQUALLY LIKELY in both groups. An odds ratio > 1 implies that the event is MORE LIKELY in the first group. An odds ratio < 1 implies that the event is LESS LIKELY in the first group. |
How is odds ratio calculated? | In a 2-by-2 table with cells a, b, c, and d (see figure), the odds ratio is odds of the event in the exposure group (a/b) divided by the odds of the event in the control or non-exposure group (c/d). Thus the odds ratio is (a/b) / (c/d) which simplifies to ad/bc. |
What statistical test gives you odds ratio? | Fisher's Exact Probability test Several significance tests can be used for the Odds Ratio. The most common are the Fisher's Exact Probability test, the Pearson Chi-Square and the Likelihood Ratio Chi-Square. |
How do you calculate odds ratio in SPSS? | You'll move over one study variable in the row. And one in the column. It doesn't matter which one is which you'll get the same value either way then click on statistics. And risk click continue. |
Can you get odds ratio from chi-square test? | One of the simplest ways to calculate an odds ratio is from a cross tabulation table. We usually analyze these tables with a categorical statistical test. There are a few options, depending on the sample size and the design, but common ones are Chi-Square test of independence or homogeneity, or a Fisher's exact test. |
How do you calculate odds ratio from parameter estimate? | So the odds ratio is obtained by simply exponentiating the value of the parameter associated with the risk factor. The odds ratio indicates how the odds of the event change as you change X from 0 to 1. For instance, means that the odds of an event when X = 1 are twice the odds of an event when X = 0. |
What does the log odds tell you? | Log Odds is nothing but log of odds, i.e., log(odds). In our scenario above the odds against me winning range between 0 and 1, whereas the odds in favor of me winning range from 1 and infinity, which is a very vast scale. This makes the magnitude of odds against look so much smaller to those in favor. |
- What does odds ratio tell you?
- What is an odds ratio? An odds ratio (OR) is a measure of association between an exposure and an outcome. The OR represents the odds that an outcome will occur given a particular exposure, compared to the odds of the outcome occurring in the absence of that exposure.
- What is the log transformation of odds ratio?
- The transformation from odds to log of odds is the log transformation (In statistics, in general, when we use log almost always it means natural logarithm). Again this is a monotonic transformation. That is to say, the greater the odds, the greater the log of odds and vice versa.
- Can an odds ratio be 100?
- Odds represent the probability of an event occurring divided by the probability of an event not occurring. Although related, probability and odds are not the same. Probability values can only range from 0 to 1 (0% to 100%), whereas odds can take on any value.
- Can odds ratio be greater than 2?
- An odds ratio of 4 or more is pretty strong and not likely to be able to be explained away by some unmeasured variables. An odds ratio bigger than 2 and less than 4 is possibly important and should be looked at very carefully.
- What does an odds ratio of 2.6 mean?
- The exposed group has 2.6 times the risk of having the health outcome when compared with the unexposed group.
- How do you explain odds ratio results?
- An odds ratio (OR) is a measure of association between an exposure and an outcome. The OR represents the odds that an outcome will occur given a particular exposure, compared to the odds of the outcome occurring in the absence of that exposure.
- What is a high odds ratio?
- An odds ratio greater than 1 implies there are greater odds of the event happening in the exposed versus the non-exposed group. An odds ratio of less than 1 implies the odds of the event happening in the exposed group are less than in the non-exposed group.
- Does logistic regression give adjusted odds ratio?
- In my opinion, the advantage is that the Odds Ratio calculated using Logistic Regression is "adjusted" to take into account the influence of other variables - whereas the Odds Ratio calculated using the simple way does not take into account the influence of other variables.
- How do you interpret odds ratio in logistic regression?
- The interpretation of the odds ratio depends on whether the predictor is categorical or continuous. Odds ratios that are greater than 1 indicate that the event is more likely to occur as the predictor increases. Odds ratios that are less than 1 indicate that the event is less likely to occur as the predictor increases.
- How do you report results from logistic regression?
- Writing up results
- First, present descriptive statistics in a table.
- Organize your results in a table (see Table 3) stating your dependent variable (dependent variable = YES) and state that these are "logistic regression results."
- When describing the statistics in the tables, point out the highlights for the reader.
- Writing up results
- How do you report odds ratio results?
- Odds ratios typically are reported in a table with 95% CIs. If the 95% CI for an odds ratio does not include 1.0, then the odds ratio is considered to be statistically significant at the 5% level.
- How to interpret odds ratio in logistic regression continuous variable?
- When an OR is:
- Greater than 1: As the continuous variable increases, the event is more likely to occur.
- Less than 1: As the variable increases, the event is less likely to occur.
- Equals 1: As the variable increases, the likelihood of the event does not change.
- When an OR is: