Questions tagged [case-control-study]

An observational study in which two existing groups differing in outcome are identified and compared on the basis of some supposed causal attribute.

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How to calculate sample size for a biomarker discovery nested case-control study (approach by M. Pepe)?

I'm about to design a nested case-control study in which I will try to identify a biomarker (or biomarker panel) from protein expression levels (determined with mass spectronomy). I've got a cohort of ...
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Retrospective cohort study and case control study

What study would best suit looking at the association between low birthweight and later academic performance? Note - 1000 low birth weight children and 3000 normal birthweight children were included ...
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Simulating data for case-control study

I am trying run a simulation-based sample size calculation for case control data. The parameters that I'm working with are: 1:1 case:control ratio 30% prevalence of exposure in controls So, the ...
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Logistic regression for case-control studies

If I have designed a study where participants from 3 disease groups of fixed size were being sampled and suppose the three groups A, B and C are of sizes n_A=50, n_B=50 and n_C=100. Group A is a ...
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Extreme differences between control group and affected group

I am reviewing an article and cannot be overly specific but it involves one group of people with a medical condition and another group without it; the dependent variables are various mental health ...
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Interaction with a matching variable (time) in conditional logistic regression

Short version: I want to look at the interaction between an explanatory variable and a matching variable in my conditional logistic regression. Is that possible? I'm doing a case-control study on risk ...
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Choosing control group for RCT

Imagine the following situation to illustrate my question: We want to run an RCT to test whether policy2, combined with policy1, ...
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How we can obtain RR from case-control study through Poisson regression?

I found an article: https://link.springer.com/article/10.1007/s13300-020-00876-0 with case-control study design: "We conducted an open, multicenter, randomized, case-control study in a real-life ...
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How to properly measure statistically the success of this approach / intervention?

Hello guys I'm currently working for a Hotel chain, and we have noticed that around 45% of the clients who use our website to buy one of our travel packages struggle in the process of customization ...
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Can diagnostic accuracy measures be used in case-control studies?

I want to assess the predictive ability of biomarkers in a nested case-control study. The primary analysis with use conditional regression. I’d some questions: 1)Can I determine the AUC, sensitivity ...
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Can I use AIC for model selection with same model on data subsets?

I have a class-imbalanced dataset so I divided my data into positive and negative classes (10% pos-90%neg). To model the data I planned to subset the negative data into 8 subsets and then create 8 ...
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Case-Control Study using future measurements- cheating?

I have been asked by my boss to 'predict progression', - change from t0 to t2, using a data set of 1000 samples. In a first round of analysis, it was clear this wouldn't be possible with a high degree ...
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Combining the discovery and replication data sets to calculate final statistics?

I have a question about calculation and reporting of statistics combining data from replication studies. Our techniques don't involve ML, but ML techniques have me thinking about this. Often in ML ...
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How do I incorporate clustering in a matched case-control analysis?

I am trying to analyze a 3:1 matched case control study (matched on age and date of medical encounter) but realized that there may be household clusters represented among cases and controls. Cases ...
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After the sample size calculation what is the next step in clinical trials?

Suppose I want to test if drug A is effective to reduce the levels of some disease. From previous studies, the drug is estimated to reduce the disease by 0.5 units (mean difference) with a standard ...
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Minimum sample size and power test

Suppose I have access to data on the energy consumption of a city with a population of 30000 persons. Imagine I want to test a new technology of smart energy, i.e if the energy consumption decreases ...
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Why case-controlled study is more bias prone than cohort study?

I noticed from several articles saying that case-controlled study is more bias prone than cohort study (in the context of cancer early detection using molecular markers). I spent sometime to try to ...
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Case-Control Study Design for Longitudinal Analysis

I am designing a study in which I want to examine the relationship between a disease - major depression - and five exposures of interest: healthy/unhealthy diet, daily exercise hours, general outlook ...
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How to combine the multiple days of a dose for meta analysis

I want to do a meta-analysis on case-control animal studies. But the problems is, a dose contain multiple days and shows their effects at each day like after 7, 14, 28 days. In a meta-analysis, I show ...
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Single SQL query for case-control matching [closed]

I am running a case-control study for which I wish to choose 5 controls for each case, stratifying by age, sex, and date of measurement. Each case or control has a unique serial number and the ...
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Statistical analysis for comparing expertise levels between 3 groups

I hope you are all safe and healthy considering the current climate. I was wondering if someone could help with a statistical dilemma I have on my hands. I am trying to explore whether IQ tests can ...
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1answer
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Logistic regression, about 1 and 0'es

I'm doing a logistic regression in R and I'd like to know how to select the dependent and independent variables, Logistic regression is done when the dependent variable of interest should be 1 ( like ...
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1answer
73 views

Case control sampling strategy for longitudinal analysis

Does it sound plausible to use a case-control sampling strategy to then address a longitudinal question? For example, let's say I have a population of diabetics (N=100) and non-diabetics (N=9999). I ...
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Can exact tests compare groups from case-cohort studies?

I have reviewed several helpful threads most related to my question and many thanks to the authors. The first thread suggests odds ratio is valid for cohort studies, but risk ratios or hazard ratios ...
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Using prior information for a GAM smooth function to reduce standard errors

I have some data that I want to model in a GAM. However, there are few observations, generally leading to high standard errors. ...
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1answer
318 views

Matching when there are missing data

In a treatment effects framework, I have a control and treatment group with some covariates on which to match (I'm using nearest-neighbor method). The control group has a no missing data, but some ...
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Controlled Intervention Before/After

I have an intervention that I'd like to determine the effect of (before/after). All of the data has been divided into a treatment or control group. The issue is that the treatment/intervention took ...
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Can someone explain as simply as possible why you use OR in retrospective studies while using RR in prospective studies?

I've really tried to understand why you can't use RR in retrospective studies but for some reason I can't understand it. Has anyone been able to convey this simply to their students?
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380 views

Valid conclusions from simple case?

If I have an experiment documenting the recovery of 1,000 patients who were given access to a medication. Results: MEN taking the drug. 2 out of 2 recover (100% recovery). MEN not taking the drug. ...
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1answer
146 views

Proper Average Treatment Effect estimators (and standard errors) for Generalized Linear Models with log link?

What is the proper formula for estimating the Average Treatment Effect with a simple main effects generalized linear model? My first pass at defining the Average Treatment Effect for a GLM with a log ...
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74 views

Finding best conditional logistic regression model with unbalanced strata

I am interested in fitting the best possible model for the case of conditional logistic regression where the strata are unbalanced. Although I have not seen it specified, but I understand that there ...
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The appropriate match ratio between case and controls: the obsession with 1:5 [duplicate]

My intention with this question is to collect relevant references or literature for a recurrent methodological approach commonly applied in health research. The main question is: what is the ...
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Is it possible to calculate odds ratio(95% CI) for only control group?

The original data contains scores of case/control group. The score is the number of risk alleles multiplied by the regression coefficient for SNP. So in the data, case samples have higher score than ...
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Case-Control study with 1:N matching and a continuous outcome variable

I'm interested to compare cases with controls on a continuous outcome variable. The cases are people with a certain disease, while the controls are matched on various criteria (age, sex, etc) thought ...
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Checking if treatment is effective without control group

I am experimenting with few treatments to see which one is effective. I do not have luxury of control group to compare against. In such scenario, is there any method to see if the treatment has been ...
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Sample Size for Case-Control Study

We wanted to perform a case-control study and used the calculation below. Using alpha = 0.05, beta = 0.20, p1-p2 = 0.003, and a ratio of controls to cases of 1000:1, we came up with a sample size of ...
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Question about design choice of Enbrel RWE study

Statisticians in 2015 analyzed real world data, hundreds of thousands of medical insurance claims involving people with rheumatoid arthritis and other inflammatory diseases, according to the Pfizer ...
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Meta-analysis for case control studies

I am working on a method of meta-analysis for case-control studies by stratifying cases and controls then calculating the effect size. Can I do a meta-analysis including only case-control studies for ...
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Correlation analysis using a case-control study-based data

I have a case-control study-based data. This is a data to confirm the association of hypertension and BMI. The definition of the case group (hypertension group) is SBP(systolic blood pressure)>=140. ...
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Difference between N case studies and case series with N patients

Is there any reason to treat data from multiple case studies differently from data from a case series that reports data on multiple patients? Assuming the case-series intervention was the same for ...
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R - multivariate glm, what to use as a p-value and odds ratio?

This is for a case-control study. I need to get a p-value and an odds ratio with confidence intervals from my glm, but I'm unsure of the best approach. I have the <...
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238 views

propensity score matching by disease and cox PH regression.. am I right?

Normally I understood propensity score matching is the way to match the treated group and untreated group. But I noticed some studies that used propensity score matching to match disease and non-...
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103 views

Ratio of cases to controls in retrospective cohort study

I am conducting a retrospective cohort study in which I have 10,000 cases with exposure to X, and a very large control population (10,000,000+ subjects) without exposure. I am taking an individual ...
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57 views

Compare hazard ratios in case-control setup

quick disclaimer: first time poster; i have searched through the forums extensively but please bear with me if this is a silly question or point me towards the solution if it has been answered before. ...
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Variable ratio matching

I am working on a simulated study where I have variable number of control matches for my treatment subjects. I am new to this type of analysis. I realize after matching I can utilize logistic ...
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1answer
3k views

3:1 matching with MatchIt in R. The number of matched control is not equal to 3 times the number of cases

Hello I'm using the MatchIt package in R I have a total of unmatched 116 treated cases and 462 unmatcehd non-treated case with the command ...
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Interacting treatment variables with independent variables in matched samples

Can we interact the treatment variables with independent control variables that have been used for matching? I have a binary treatment variable called 'medicine'. It indicates whether a person ...
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Any downsides in giving a participant A and B then compare the results?

Almost all the experimental design studies that I came across randomly separates participants into bucket A or B. Then they study the effects to identify a causal relationship. Are there any ...
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1k views

Nested Case-Control vs propensity score matching vs inverse probability when comparing differences in incident outcomes

I am not sure about the best design in this case. I have a representative sample (N=15,000) of individuals with a moderately rare condition and I want to match them to controls who do not have this ...
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Matching inflation

I have data on a few millions of patients, about 1000 of them are cases, that is, they were diagnosed having a certain disease at some timepoint in their life. I think I basically have two options: 1)...