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Questions tagged [relative-risk]

The relative risk (also called 'risk ratio') is the quotient of the probabilities of an event under two conditions (ie, p1/p2). The RR has a possible range of [0, +infinity). It is a common measure of effect size in biomedical research.

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Which variable is best suited for edge weights when computing graph algorithms instead of relative risks?

I am currently trying to develop graph data. Which variable is best suited for edge weights when computing graph algorithms? Relative risk Relative Risk: Many networks in my field use relative risks ...
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Interpreting Poisson GAM for epidemiological model

I'm working on a project where I investigate the relationship between PM2.5 (a form of pollution) and ischemic stroke hospitalization (i.e. number of hospitalizations total, collected per day). My ...
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Can I use a Hazard Ratio to determine the absolute risk of a population?

I am trying to convert the Hazard Ratio from this paper (Risk of Gastrointestinal Adverse Events Associated With Glucagon-Like Peptide-1 Receptor Agonists for Weight Loss) to determine the prevalence ...
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Evaluating differences in Risk Ratio [duplicate]

If I have two risk ratios (calculated from Poisson regression) and 95% confidence intervals for each ratio, can I make the claim that the risk ratios are significantly different if there is no overlap ...
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Can I claim that the relative risk of age effect in Poisson regression is a mortality rate?

Suppose I run a poisson regression with yearly death count as outcome: $\log \mu_{t}=a + \beta_{ti} \kappa_{ti} + offset$ $\mu_{t}$ refers to the number of death at time $t$; $a$ refers to intercept; $...
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Getting a very big relative risk ratio value

We have fitted a multilevel multinomial logistic regression model to our data. We have obtained relative risk ratios(RRR). For most of the independent variables RRR have usual values, like 0.49, 0.78, ...
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Comparing statistical measurements of several countries

In a study, an outcome variable has three categories. There are several factors in the study. We are determining how these factors influence the outcome variable.We have fitted multiple logistic ...
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Cochran-Mantel-Haenszel Test confidence interval

I'm looking at a collection of very similar dichotomous outcome studies, and in order to assess the relative risk of an intervention and account for study variability, I believe I should use the ...
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Prevalence / Incidence and Relative Risk

I'm doing a course in biostatistics and I came across this question to solve: "Consider a two-year follow-up study of the association between a measure of stress (dichotomised into two levels: ...
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Static risk prediction models and years-to-live stratification

A known paradox is the fact that although the absolute risk for developing a disease may rise with age, the conditional probability for every person to develop a disease, given that he hasn't ...
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Determine weights for a risk weighted calculation for road safety

I'm looking to quantify route safety for each route in our route database. For this, I have the following data in the past 2 years: accidents observed for each route, no. of phone usage events no. of ...
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Survey Package in R - svyglm with quasipoission link function for binary outcomes data, yielding relative risk? [closed]

I'm planning to run a regression analysis to estimate [adjusted] relative risk of a binary outcome data (essentially, analyzing the relative risk or risk ratio of an event happening), using a number ...
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What is the predicted "risk score" generated by sjPlot plot_model?

I ran the following time-varying covariate cox model: ...
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Relative risk from logistics regression in R

I can't seem to find a way to get relative risk (instead of odds ratio) in R via glm() function. However, the equivalence seems to be glm() with poisson family and log link, which I suspect will yield ...
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Risk ratio or odds ratio?

I have a question which may seem stupid. This is for a retrospective cohort study. I have a table like this for my outcome: Among the 20,000 patients in group A, 4671 are dead (23.55%). Among 50,000 ...
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Estimates of Cox Proportional Hazards Model

Why do some studies that utilize the Cox Proportional Hazards Model analysis use relative risks, others used odds ratios, and others used hazard ratios?
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Combining RR/OR

I am doing meta analysis for my thesis and I have a problem with my data. I want to investigate whether psychiatric comorbidity have effect on increasing risk to my outcome. I got 3 studies that ...
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If you can report risk ratio reliably, what are some reasons (if any) to report odds ratio instead?

I know that in the case of case-control studies you should report odds ratio, because risk ratio cannot be calculated in this kind of study (I think this is what this question is about When looking at ...
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Relative risk but using the full population and a subset thereof

Consider the probability $p$ of an event in the full population, and the probability $p_0$ of the same event for a subset of the population. In other words, $p_0$ is a conditional probability (...
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Bootstrap produces inf confidence interval

I am using bootstrapping to calculate confidence intervals for a risk ratio. In some of the bootstrapped samples, there are no observations of one of the outcomes, leading to the risk ratio being ...
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Use of $p_1/(p_1+p_2)$ to compare two probabilities $p_1$, $p_2$?

Let's say we want to compare two probabilities $p_1$ and $p_2$, not necessarily referred to the same population. For example, $p_1$ may be the probability of getting a certain disease conditioned on ...
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How to use R glm() to estimate risk ratios and ratio of risk ratios with confidence intervals

Given these data, reflecting individual data on 206 subjects, two treatment groups ("uc" and "texting") and race ("nonblack" and "black"). My goal is a ...
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Score for over/under representations of a variable in sub-group

I have a corpus of book publications split into different clusters. I have information about the nationality of the authors (variable A) and the nationality of the publishing company (variable B). In ...
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distributed lag non-linear models, DLNM r package

I am new to statistics and a beginner in DLNM. I am trying to understand the different functions of DLNM. In the 'crosspred' of DLNM, the exponentiated regression coefficient from the Poisson models, ...
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Calculate Risk Ratio with CI in R from Odds ratios

I have performed a multiple logistic regression because I wanted to see the association between Death and Cardiovascular disease. I adjusted using age, sex, risk factors. The result came in ODDS RATIO ...
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Relative Risk and Odd ratio for N x N x N table

I am trying to calculate RR for case where I have N x N x N table. First N is City (20 cities) second N is Age group (5 groups) and third one is Industry (4 ...
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Questionable statistic - conflict between chi square stat / relative risk reported

A recent high profile paper claimed to have found signals of harm from a particular intervention, which to avoid bias I'll refrain from identifying. The methodology is unusual and result controversial ...
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Is it possible to calculate the SD of observations for a RR based solely on the confidence interval and mean?

Set up: I have a epidemiological study with a dose-response curve with a series of relative risk estimates (risk ratio of mortality risk exposed compared to mortality risk unexposed) along a curve. ...
Matthew Raifman's user avatar
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1 answer
359 views

Why Do We Need Relative Risk?

I am an MBA student that is taking courses in statistics. In our classes, we are learning about Odd's Ratios and Relative Risk. Our Prof outlined the following examples: Example 1: Suppose we take a ...
stats_noob's user avatar
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396 views

how to get relative risk from a GAM with a distributed lag model

I would like to obtain a relative risk/ risk ratio from a GAM with a distributed lag model. I have a GAM (implemented in mgcv in R) predicting daily deaths from time series data consisting of daily ...
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Assumption of Poisson regression with robust standard errors

I am applying a Poisson regression with robust standard errors to model a binary response variables. I was wondering what are the assumptions underlying this type of regression? I understand that the ...
shehab abubakr's user avatar
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1 answer
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Calculate a permutation-based p-value for a risk ratio

Summary How do you calculate a two-sided p-value for a risk ratio/relative risk (obtained from a GEE logistic regression via predicting risks with and without a treatment) based on a permutation test, ...
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1 answer
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In a survival meta-analysis shouldn't you use HR instead of RR?

I found this interesting survival meta-analysis: https://pubmed.ncbi.nlm.nih.gov/23216926/ Why do they compare OS between the different studies using RR and not HR? Indeed the authors of this paper ...
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Asymptotic variance of relative risk

I'm interested in the asymptotic variance of relative risk (without sample size). I know that in an application, the variance is $$ \frac{1-p_1}{n_1p_1} + \frac{1-p_0}{n_0p_0} $$ When removing $n$ ...
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Hazard ratio and relative risk (or odds ratio) in case of very few event/censoring times

As far as I understand relative risks and hazard ratios are very similar concepts (although this paper seems to disagree). The advantage of hazard ratios is the inclusion of temporal information. I ...
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Kernel Density: How do the terms 'global' and 'pilot' translate?

I nearly most of the articles on kernel smoothing or concepts that use kernel density estimations, authors speak of 'pilot' and 'global'. https://link.springer.com/article/10.1023/A:1008925425102 &...
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Is there a good graphical representation for the sampling distribution of relative risk?

For pedagogical reasons, I am interested in communicating graphically the sampling distribution of relative risks (histogram and CDF plot), specifically in the context of a matched-pair study design: ...
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Relative risk trees (recursive partitioning for survival data) - node outcome

I am fitting relative risk trees for right-censored data (LeBlanc M. & Crowley J. Relative risk trees for censored survival data. Biometrics, pages 411–425, 1992) with rpart, but I have some ...
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2 votes
2 answers
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convert the ATE Average Treatment Effect from a doubly robust model into Risk Ratio

How would one convert the ATE Average Treatment Effect from a doubly robust model into Risk Ratio? Can this be done directly without having to convert to odds ratio first. If so, how is this done. Can ...
StatsBio's user avatar
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1 answer
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Power analysis for relative risk equivalent to power analysis for difference between two proportions?

I need to make a power analysis calculation to estimate the minimum sample size for a relative risk statistic (ratio of two proportions) for unmatched data - two independent samples. Can I use the ...
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Interpretation of the E-value for non-epidemiologists

A recent method for sensitivity analysis is the E-value (VanderWeele and Ping, 2017). Yet, I'm still struggling with the interpretation of such a value. Coming from outside of epidemiology, where risk ...
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Metanalysis in R risk ratio compared to log risk ratio?

I have conducted a meta-analysis with the risk ratios and standard errors that have been provided to me. I cannot use the raw data. I was wondering if I should use the log of the risk ratio and the ...
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Paramater estimation in relative risk regression

While reading a study on leukaemia risk from ionizing radition, I am trying to understand how the model parameters are estimated. The outcome variable $y$ in this study is binary (leaukaemia or not), ...
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Combined relative risk in meta study

I am looking at a meta study, and I've never done one (or looked at it much) before. From what I've learned about it so far, the way you calculate the compounded effect is by first calculating this $\...
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Is combining Odds Ratios with Relative Risk in a Meta-Analysis Possible?

Can I combine ORs and RRs using generic inverse variance if the the event rare? There appears to be simple methods for converting ORs into RRs so would I do the conversion first and then apply the ...
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Comparison of predictors in multinomial logit

I have been reading up on ways to understand variable importance in multinomial logistic so as to compare the predictors. My goal is to understand whether predictor A or B is playing a more ...
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1 vote
1 answer
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Relative Risk, confidence interval and sample size relationship

I'm following this example (see below for the source): Breast Cancer No Breast Cancer Total DDT exposed 360 13636 13996 Unexposed 1079 76313 77392 ...
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odds ratio to relative risk equation, how is it derived?

How is this equation derived? thanks RR=OR/((1−Pref)+(Pref∗OR)) RR = risk ratio; OR = odds ratio; Pref = Prevalence of the outcome in the reference group
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2 answers
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Is this how to convert odds ratio intervals to risk ratios

I have a binary logistic regression with just one binary factor predictor. I would like to report the 'risk ratio' (probability ratio) with a confidence interval. I'm using R 4.0.4 for statistical ...
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4 votes
1 answer
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Am I misunderstanding Zou's method for computing relative risk for binary outcomes using Poisson regression?

It seems that relative risk estimation using Poisson regression is a popular approach in epidemiology, with a couple of papers I have recently looked at (for example [3] and many others like it) ...
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