Questions tagged [disease]

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Conditional probability of having intellectual disability

I'm reading this paper about a genetic disease. In the paper, there's the following table where $DD$ means developmental delay and $ID$ means intellectual disability. From the table (last column) we ...
alexmolas's user avatar
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1 vote
0 answers
15 views

Likelihood Ratio when true/false positive/negative rates are not available

In this paper (PMID 23123231; paywalled), the authors develop a logistic regression prediction model for Alzheimer's disease. In Table 3 the authors then present disease prediction results after ...
gaspanic's user avatar
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1 vote
1 answer
34 views

How can I assess the statistical significance of one year's total cases of a disease against previous years?

Rookie question - is it possible to compare a single year's total number of cases of a disease in a specific region compared with previous years. I have a data set showing total yearly cases of a ...
Robert's user avatar
  • 11
0 votes
2 answers
34 views

applying bayesian stats to pre-natal screening

Can it be that given a negative test result the probability of the disease is only 0.02% ? I would like to know the probability of having the disease given a negative test (screening) result. I'm ...
tryptofame's user avatar
2 votes
1 answer
87 views

Probability that seems to exceed 1

Suppose we have the following information based on independent events: The probability of contracting Alpha variant is .4 The Delta variant is 50% more contagious than Alpha The Omicron BA1 variant ...
Bryan Larson's user avatar
1 vote
1 answer
693 views

What is the appropriate distribution of Ordinal Data?

I have an ordinal random variable {0,1,2,3}. The variable should describe disease severity. What kind of probability distribution is the best fit to model this variable? The categorical distribution ...
Alexander Vocaet's user avatar
0 votes
1 answer
66 views

Bayes theorem for a rare disease [duplicate]

I learned about Bayes' theorem recently and hoped to apply it to the following problem: 1% of a country's population has a rare disease. A resident takes a disease test with a true positive rate of ...
Alexanderfrs's user avatar
1 vote
0 answers
17 views

Estimating future graph size given partial graph size

(This question compares a branching-fiction novel to a disease, bear with me.) This is for fun, my friends and I are writing a branching-fiction novel: A black node is a concluding chapter ("The ...
tunesmith's user avatar
  • 111
1 vote
1 answer
78 views

How to estimate the change of rate of COVID-19 infections when accounting for vaccine effectiveness and increased transmissibility of mutated strains?

The world has reasonably accurate numbers of the transmissibility of the strains of COVID-19 that have ravaged humankind. Now, two changes are afoot: Some wealthy regions have access to limited ...
End Anti-Semitic Hate's user avatar
2 votes
0 answers
61 views

Estimating True COVID-19 infection rate from Positivity Rate?

Like many, I've been watching and tinkering with COVID-19 statistics for the past 8+ months. One thought I keep coming back to is that there must be some smart Bayesian approach to blending (a) known ...
Chad Gray's user avatar
3 votes
0 answers
25 views

Expected number of infections given one root infection

So I'm trying to find a way to calculate expected social cost (from COVID-19 deaths) if I take a trip. (I've made a much more detailed post here.) I've gotten parts of a calculation that seem ...
Erhannis's user avatar
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3 votes
0 answers
68 views

Appropriate approach for identifying outliers in health board performances with COVID-19 mortality rates

I am relatively new to statistics but am very keen to learn the best approaches with working examples as I prefer to learn this way. We are clearly living in an unprecedented time with COVID-19 and I ...
AWGIS's user avatar
  • 83
3 votes
1 answer
937 views

Understanding beta/tau in the SIR model of Infectious disease for COVID modeling

Inspired by the SARS-CoV-2 pathogen and COVID-19, I am writing an agent-based simulation to allow the modeling of heterogeneous populations (e.g., some folks abide by quarantine, some resist, or some ...
Kevin's user avatar
  • 43
7 votes
2 answers
344 views

How could one (tentatively) estimate the actual number of COVID-19 infections in an area, using hard data like age-adjusted death rate?

A big problem with the current COVID-19 epidemic is the difficulty of getting tested (due to mild symptoms and lack of testing kits). This makes it impossible for patients with little or no symptoms ...
Yiannis Dermitzakis's user avatar
1 vote
1 answer
46 views

Stochastic epidemic models with branching process

I am looking for an academic survey article that uses branching process in stochastic epidemic models. There are journal articles in epidemic and bio statistics that deal with specific transmittable ...
Frank Swanton's user avatar
2 votes
1 answer
78 views

Analyzing diseased-based data "backwards"?

In my line of work, we have clinical samples from various stages of a pathology. We might measure levels of proteins, RNAs, etc.--we'll call them all "markers". Invariably, the presumption ...
Bryan's user avatar
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1 vote
0 answers
63 views

Taylor Series Power Function in R

I'm trying to recreate a compartmental model from Yu et al (2017). In this model there is a expanded taylor series power function that is used that I am not understanding how to code. where W(t) = 0, ...
Ash's user avatar
  • 111
1 vote
0 answers
23 views

Sensitivity and specificity on cases rather than individual days

I have data collected from sensors to detect disease in several individuals. Each individual has a known disease status (labelled Actual in the table below) for ...
JB32's user avatar
  • 11
3 votes
2 answers
53 views

How to tell a method is improving the detection of a disease?

We have two methods, A and B, for detecting a disease. Out of a 1000 samples with unknown prevalence, A detects 100 samples (10%). On the remaining 900 negatives, we apply the additional method B, and ...
January's user avatar
  • 7,559
1 vote
1 answer
49 views

Bayesian formulation of disease test: What likelihood function to use? [closed]

Disease Test: In this classic example of Bayes' theorem for discrete events, one would like to determine the posterior probability of the patient having the disease, given that they test positive, ...
jtlz2's user avatar
  • 143
3 votes
2 answers
97 views

Using patient characteristics to predict disease and confront with per hospital real cases

We have a large, nationwide prevalence study about the prevalence of healthcare-associated infections (HAI). We need to see if hospitals have more or less HAI than expected by their patients' ...
Bakaburg's user avatar
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1 vote
2 answers
128 views

Is it reasonable to use simultaneously the disease risk score and the propensity score?

I wonder whether the disease risk score and the propensity score can be simultaneously used and whether they have been ever been used together in the past.
Giuseppe Biondi-Zoccai's user avatar
0 votes
1 answer
129 views

predictive model that includes previous predictions and models time dependence

I'm trying to predict counts of dengue fever from climate and environmental data. I'm predicting total weekly counts of dengue and the data is time-series in one week intervals over the past 20 years. ...
Julia's user avatar
  • 1
2 votes
0 answers
671 views

Regression analysis including variables changing over time

In glaucoma management, we study the trend of a global index variable representing the entire visual field of a glaucoma patient. This concern the Mean Defect of visual sentitivity (=MD), expressed in ...
Francisco Javier's user avatar
1 vote
0 answers
28 views

Study the effect of 2 drugs on a symptom caused by 2 diseases

A symptom (for e.g. Headache) can be caused by 2 different diseases (X and Y). Drug “A” acts on both diseases (X and Y). Drug B acts on only second (Y) disease. Disease “X” patients will be treated ...
DrWho's user avatar
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2 votes
0 answers
296 views

PCA (with phi/tetrachoric correlation matrix) or LTM to study the correlation of (true) dichotomous variables?

I am doing a study were I have to initially do an exploratory analysis by grouping diseases that coexist in my study population. For that I have x diseases/variables that are (true) dichotomous (...
user102074's user avatar
0 votes
1 answer
58 views

Compare disease code between two years

Data: ...
learning_stats's user avatar
0 votes
0 answers
75 views

Determining Sample Size to Show Increase in Disease Prevalence

A prof and I are trying to figure out how many samples a study would need to show a certain % increase in disease prevalence, but I'm not sure I'm doing this correctly. Basically we want to know how ...
user53834's user avatar
0 votes
1 answer
158 views

Power calculation for disease modeling in iPS cells

I apologize in advance if the question is rather simple, but I have been having a difficult time figuring it out. I am an experimental scientist interested in modeling human disease with induced ...
user26019's user avatar
2 votes
0 answers
134 views

Confusion related to Kulldorff's scan statistics

I was reading this paper related to Bayesian spatial scan statistics where I came across the Kulldorff's scan statistics. I have attached the screenshot of the paper. My objective is to find a ...
user34790's user avatar
  • 6,777
7 votes
1 answer
1k views

Disease forecasting - counts or rates?

I'm developing a forecasting model for an infectious disease for a hospital and wanting to understand if I should use disease counts or rates (based on population or total clinic visits). What are the ...
Kate's user avatar
  • 71
8 votes
2 answers
238 views

Associating a probability to disease propagation in regions of a map

I am trying to model disease propagation. I am considering a map separated into regions. One region is infected. There is data over time, with the number of people travelling into and out of the ...
Vass's user avatar
  • 1,685
6 votes
3 answers
2k views

How do I calculate and compare incidence of infection between age-groups

We work on cervical cancer detection and we started accumulating data in 2006 by performing HPV testing on all our samples. We have accumulated a data set with almost 400,000 women. Data enters the ...
JP Bogers's user avatar
5 votes
1 answer
175 views

What approach could be used for modelling virus infections?

I'm a physics graduate who ended up doing infosec so most of the statistics I ever learned is useful for thermodynamics. I'm currently trying to think of a model for working out how many of a ...
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