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Questions tagged [prevalence]

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Relationship between sensitiviy, probability of detection and Prevalence

Folks, I have 3 questions: If I know the number of exams performed with a specific test on a group of patients and the test's sensitivity, can I directly estimate the overall probability of detecting ...
Felipe Lourenço's user avatar
4 votes
2 answers
218 views

What data are used to find the final threshold for a medical diagnostic test?

Suppose I have some blood measurement X whose values correlate with some disease Y (so people with the disease use to have larger values of X). Moreover suppose that the disease is rare, say 1% of a ...
sitems's user avatar
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1 vote
0 answers
24 views

Sample size calculation for prevalence studies: how do I find d when reviewing a published study?

I have found the following formula in Munn et al.: $$N = \frac{Z^2 P(1-P)}{d^2}$$ $N$ = sample size $Z$ = statistic for a level of confidence $P$ = expected prevalence $d$ = precision The problem I ...
Fabio Carraturo's user avatar
4 votes
2 answers
58 views

Accounting for recall period in proportion meta-analysis

We are conducting a meta-analysis of "prevalence" of event-type exposures, e.g. "have you been physically assaulted in the past X months". We are trying to adjust for different ...
jessexknight's user avatar
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0 answers
22 views

What will be the sample size to determine the incidence and prevalence when estimated prevalence is 17.93 per 100000?

I want to conduct a study to determine the incidence and prevalence of oral cancer in an area. I prefer door to door community based screening by Oral visual examination and refer suspected case for ...
M. A Awal's user avatar
1 vote
0 answers
44 views

R survey package: compare weighted prevalence with literature result

I have a large dataset (>3000 cases) with results of serological tests. Based on these results i want to calculate the weighted prevalence of the disease. The data is categorical (0 = disease ...
Zoetzurechucky's user avatar
1 vote
0 answers
38 views

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: ...
Sónia Ferreria's user avatar
0 votes
0 answers
39 views

Appropriate statistical test evaluating difference in proportions between two groups over multiple time points

Over the course of a year, I took samples from dogs and their beds and looked for the type of bacteria in the bed and in the dog every month. I did not get samples from the same dogs or the same beds ...
user2930701's user avatar
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0 answers
24 views

How should the prevalence be calculated when determining prevalence-adjusted PPV?

I am assessing the performance of a test for a certain disease. I have selected the disease cases and controls from a large dataset that is reasonably representative of the general population. As I ...
breezeblock's user avatar
0 votes
0 answers
11 views

How to relate prevalence to factors with multivariate analyses model (GAM beta inflated)?

While analizing the prevalence of cows to brucellosis (illness), and in order to relate it to a set of factors like country, state, and detection technique, I need to apply a multivariate analysis ...
Adonis Cedeño's user avatar
1 vote
1 answer
31 views

Adjust a crude rate based on observed prevalence within population [closed]

I have data such as the below: Area Admissions Population Crude rate per 100,000 Cambridge 137,204 1,077,382 12,735 London 111,896 1,013,985 11,035 I have been asked to 'adjust the crude rate for ...
JeffWithpetersen's user avatar
1 vote
0 answers
25 views

Age Adjusted Prevalence at region level with only country-level population distribution

I'm trying to calculate age-adjusted prevalence for a bunch of different chronic diseases from hospital data in a specific area and I'm having some difficulty. I have total country level population, ...
mn334's user avatar
  • 11
1 vote
0 answers
105 views

Accounting for overrepresentation of positives in binary classification test set for calculation of precision and recall

I have a binary classification task with highly imbalanced data, since the class to be detected (in the following referred to as the positives) is very rare. For data limitation reasons my test set ...
user15774062's user avatar
1 vote
1 answer
336 views

Calculating the confidence interval or standard error of a PPV adjusted for prevalence

I am trying to evaluate how well a disease test performs in a case-control study. In this example, the prevalence is 0.5%, and the results are below: Disease + Disease - Test + 40 (TP) 10 (FP) Test ...
breezeblock's user avatar
1 vote
1 answer
59 views

What is the probability of at least one person in a sample of k people being infected?

Given the prevalence, sensitivity and specificity of a single test are known.
r3dapple's user avatar
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1 vote
0 answers
44 views

Infection rate time-series analysis

We have some surveillance data from a hospital that include infections with antibiotic-resistant bacteria and the number of admissions, patient-days so that I can calculate incidence and prevalence. ...
sgkion's user avatar
  • 11
1 vote
1 answer
469 views

How to estimate disease prevalence using logistic regression when some people are measured several times

I have a binary variable indicating the presence or absence of a disease as well as variables for time and other covariates. SOME (not all) people are observed (tested) several times. Suppose I want ...
user167591's user avatar
2 votes
0 answers
76 views

How to deal with ragged power curve

I am exploring various methods for sample size calculation and power analysis from binomial data, and frequently coming up against ragged power curves that go up and down as sample size increases. I ...
bobverity's user avatar
  • 381
7 votes
2 answers
2k views

Why exactly does a classifier need the same prevalence in the train and test sets?

Here are some commonly seen statements about the importance of prevalence in the train and test sets when developing a classifier: "Another reason not to rebalance datasets is that models should ...
hirschme's user avatar
  • 1,130
2 votes
1 answer
232 views

The percentile method

a research used the percentile method to find the prevalence in severe group as below: The outcome variable was categorized using percentiles to Mild, Moderate, and Severe in the Symptom Severity ...
kareen kk's user avatar
0 votes
0 answers
39 views

Post test probability with a ROC curve

I have data that is normally distributed related to risk of a particular disease. At the median of the distribution, you would expect to observe the population prevalence level of disease P0=0.01. For ...
sethsh7's user avatar
2 votes
1 answer
120 views

Should you include time as a continuous predictor when estimating incidence or prevalence?

Suppose one has a time series of disease counts and populations (at risk, total etc.) or, equivalently, binary events of disease status. Then suppose one wanted to present estimates of incidence or ...
user167591's user avatar
1 vote
0 answers
79 views

How do i perform a meta-analysis of prevalence rates using metafor package (with no treatment group)? [closed]

I have a spreadsheet with this type of information: ...
Wellydo Escarião's user avatar
3 votes
1 answer
156 views

When comparing classifiers on different datasets with different prevalences, is it valid to calculate prevalence-adjusted PPV?

Scenario: comparison of 2 different binary classifiers Both classifiers report sensitivity and specificity and number actually positive (P), but classifier 1 is tested on a dataset with prevalence 20%,...
sideburns28's user avatar
3 votes
1 answer
74 views

prevalence ratio question

I understand that prevalence ratio is ...
Science11's user avatar
  • 577
0 votes
1 answer
66 views

How to calculate NNT when it's NOT a clinical trial?

I am working on a revise and resubmit for a journal article. This is an observational, cross-sectional study. We compared endorsements of different behaviors across groups (e.g., 30.1% of Group 1 ...
Blair Burnette's user avatar
1 vote
1 answer
84 views

Prevalence/proportion estimates: sampling/screening steps in different order make a difference for SE of the estimate?

We have a question that is quite puzzling but that will surely be something others have come across (e.g., in epidemiology). There are two methods we are thinking of to get a prevalence estimate, the ...
Anna Van 't Veer's user avatar
1 vote
2 answers
396 views

How to treat proportions with different sample sizes as response variable in GLM / GLMM?

For an ecological research project, I am trying to model the effect of different factors on the prevalence of a specific pathogen in ticks. Ticks were collected from around 80 different plots and ...
claritali's user avatar
0 votes
0 answers
98 views

Testing the difference between 2 prevalence ratios

I want to test if prevalence ratio (a disease in Men vs Women) in population A is statistically different from population B. I wonder what statistical test can be used?
Loh's user avatar
  • 1
1 vote
1 answer
54 views

Is there criteria on when to choose ODDS ratio or Prevalence Ratio?

Am stack between using Prevalence Ratio and ODDS Ratio. Is there any statistical backing on choosing one over the other? If yes, what could that be and would one generate the PR in R?
Moses's user avatar
  • 287
1 vote
0 answers
26 views

Compare geographical distributions of prevalences

I would like to ask you what statistical method should be used to compare two prevalence distributions. My problem is the following: I have two prevalences of two diseases A and B (non-exclusive) per ...
docfak's user avatar
  • 11
8 votes
3 answers
1k views

Are thresholds for logistic regression models prevalence-specific?

I wonder if thresholds for logistic regression models are prevalence-specific. I assume that they are, however, I am not sure about the basic statistical principles behind it and how to deal with the ...
ava's user avatar
  • 100
2 votes
1 answer
401 views

Is there any form or program that generates prevalence ratio values ​through logistic regression?

When performing a binomial or multinomial logistic regression, odds ratio (OR) values ​​are generated. Is there any form or program that generates a prevalence ratio value instead of OR?
Anderson N. Barbosa's user avatar
0 votes
2 answers
27 views

Why do we measure incidence, if we can measure the prevalence of a disease for two successive years instead?

Why do we measure incidence, if we can measure the prevalence of a disease for two successive years and then subtract the latter year's figure from the former years number and find out the incidence? ...
Mhkhm's user avatar
  • 1
0 votes
0 answers
35 views

How to estimate prevalence with a zero incidence (rare disease)? [duplicate]

I had to solve the following problem. Newborn screening has been implemented for a very rare pathology. For 6 months, and out of 50,000 births observed, no sick case was observed. What is the ...
Flora Grappelli's user avatar
3 votes
3 answers
159 views

Why do some researchers use the oxymoron "prevalence rate"?

An incidence rate (whether an incidence density or an incidence proportion) measures the probability of an event (typically a new case of the relevant health condition in epidemiology) divided by time....
Alexis's user avatar
  • 30.3k
1 vote
1 answer
81 views

How does a small sample size (underpowered study) affect the prevalence?

I am doing a meta-analysis where I calculate an overall prevalence value for multiple studies. I have submitted my manuscript to a journal. I used sample size as one of the risk of bias criteria, ...
aspire94's user avatar
  • 271
2 votes
2 answers
71 views

Question concerning Covid infection data reported by the media

I tried searching StackExchange for existing posts about this, but I could not find them. Please redirect me if appropriate. My question is very simple, and perhaps partly related to the observations ...
user6376297's user avatar
2 votes
0 answers
242 views

Prevalence threshold calculations error

I see on this page the formula for calculation of prevalence threshold: Given also are following values on that page: ...
rnso's user avatar
  • 10.1k
3 votes
0 answers
226 views

Correction for sample overlap in a meta-analysis of prevalence (metafor package)

I want to conduct a meta-analysis of around 30 studies (from a systematic review). Some background of the studies: The quantity of interest is the prevalence of RSV infection. Different studies ...
bienco88's user avatar
1 vote
0 answers
324 views

Pooled samples: estimating prevalence of disease

Struggling to understand the concept of pooled sampling and estimation of prevalence. Would really appreciate some help to understand this. Example: 0.5% of the population has a specific disease. ...
TScott's user avatar
  • 11
3 votes
1 answer
115 views

Optimization of pool size and number of tests for prevalence estimation via group testing

I'm trying to devise a protocol for pooling lab tests from a cohort in order to get prevalence estimates using as few reagents as possible. Assuming perfect sensitivity and specificity (if you want ...
Bakaburg's user avatar
  • 2,949
0 votes
0 answers
10 views

Detect apparent prevalence [duplicate]

I have farms in my dataset and from each farm, I have a few animals (varies for each farm) to test for a disease. I want to know, if I tested these animals, what apparent prevalence will I be able to ...
Abby's user avatar
  • 1
0 votes
0 answers
27 views

Is it possible to estimate prevalence from a given sample size?

I have farms in my dataset and from each farm, I have a few animals (varies for each farm) to test for a disease. I want to know, if I tested these animals, what apparent prevalence will I be able to ...
Abby's user avatar
  • 1
1 vote
1 answer
488 views

What is the difference between 1-year partial prevalence and annual incidence?

In cancer research, like in this article, partial prevalence is sometimes used to assess the epidemiological state of a disease in a population. The document I'm trying to understand (link, in french) ...
Dan Chaltiel's user avatar
  • 1,440
1 vote
0 answers
246 views

Defining the size of control group in chi square statistics

I'm trying to compare the prevalence rate of autism in offspring of mothers with and without gestational diabetes. I gathered data from 1000 women, 8 children have autism (prevalence rate 8/1000). ...
Michał Kania's user avatar