Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [medicine]

130 questions
22
votes
2 answers

How to summarize credible intervals for a medical audience

With Stan and frontend packages rstanarm or brms I can easily analyze data the Bayesian way as I did before with mixed-models such as lme. While I have most of the book and articles by Kruschke-Gelman-Wagenmakers-etc on my desk, these don't tell me…
Dieter Menne
  • 657
  • 5
  • 15
10
votes
1 answer

What is the difference between A/B Testing and Randomized Control Trials?

The question is as the title says: what is the difference between A/B Testing and Randomized Control Trials?
Vincent
  • 495
  • 2
  • 6
  • 13
8
votes
3 answers

Is it possible to have 1e-15 p-value when difference is about 1 SD?

The question is about the 2nd data table from the article Symptom improvement in children with autism spectrum disorder following bumetanide administration is associated with decreased GABA/glutamate ratios, specifically first row — total…
kirilloid
  • 183
  • 4
8
votes
1 answer

How can I model negative binomial sampling with a maximum number of attempts until success?

This question is motivated by a study my colleague was working on. A surgeon intends to examine tissue samples within patients in hopes of finding the presence of some disease within the tissue. The procedure is invasive and risky, and so the…
Demetri Pananos
  • 24,380
  • 1
  • 36
  • 94
8
votes
2 answers

Why the infrequent use of machine learning techniques in translational biomedicine?

This is in followup to a previous question. here : Neural network model to predict treatment outcome and might be considered to refer to a different aspect of this question: Application of machine learning techniques in small sample clinical…
user6666
7
votes
5 answers

How to learn statistics for medical research?

I'm a last year medical student, as we say "Intern doctor". In the future I want to do research on the issue that I want to get in. Therefore I want to learn mathematics, statistics, R programming and so on, because I want to do best statistical…
medstutechent
  • 1
  • 2
6
votes
1 answer

When are ROC curves to compare imaging tests valid? (Focus on the example below)

I would like to ask what criticism could be raised in the following case example: In this paper they test a way of detecting narrowing of the cervical canal on radiographs using a ratio of measurements. In the subjects studied they do have a…
Antoni Parellada
  • 23,430
  • 15
  • 100
  • 197
6
votes
3 answers

Regression in Causal Inference

I was recently introduced to the topic of causal inference in statistics and I am currently learning about the importance of the backdoor criterion (BDC), as applied to the following DAG. Interest lies in assessing the causal effect of the treatment…
Will
  • 249
  • 1
  • 9
5
votes
2 answers

Chi Square versus Poisson distribution

In a study which analyses the effect of Lithium on suicide rates, the results were the following: Placebo group: 3 suicides in 83 patients Lithium group: 0 suicides in 84 patients My first approach would be to apply the Chi Square test, which…
Constantin Volkmann
  • 81
  • 1
  • 2
4
votes
1 answer

Sample size analysis for a study

I am a clinical researcher and orthopedic surgeon and one of my PhD student is starting on the last part of her thesis. Her work is centered around the potential benefits of interprofessional teaching at an orthopedic ward. The study is a…
user31889
  • 49
  • 1
4
votes
1 answer

Learning an interpretable model?

I am working on problems in the field of medical imaging where the need for a simple and interpretable model is important from a clinical perspective. This means that I have to explain the algorithm's prediction to non-experts (well non-experts in…
Leeor
  • 441
  • 4
  • 15
4
votes
1 answer

Comparing data with two timepoints in two groups with categorical classification

I'm hoping you can help me find an analysis best suited for my purpose. I have a dataset structured like this: Basically, subjects are measured twice and get a score. If the score remains roughly the same, it is categorized as stable. If the score…
Edifier8888
  • 43
  • 4
4
votes
1 answer

Univariate or multivariate regression for this project?

I'm looking at the risk of seizure in patients with metastasizing brain cancer and so far have several variables that I want to check to my dependent variable of seizure yes/no. These are variables such as age, sex, tumor size and much more. Now if…
Paze
  • 1,751
  • 7
  • 21
4
votes
0 answers

Predictive model for a disease based on observational data---effort in futility?

Suppose I have observational data and want to predict some disease based on patient visits. In each visit I know whether the disease occured. The disease is preventable (which is why I want to predict it---so it can be prevented). I want to use…
sjw
  • 5,091
  • 1
  • 21
  • 45
4
votes
1 answer

When is a single data point enough to be considered a trend in the data?

In the general case, when collecting data points at disparate points in time (such as once per day or two), under what conditions can a single low data point be considered a downwards trend in the data? For instance, consider these data points: Day…
dotancohen
  • 400
  • 1
  • 9
1
2 3
…
8 9