3
votes
1answer
355 views

Power calculations, logistic regression with continuous exposure--cohort

I'm trying to estimate power in a logistic regression with a continuous exposure in a cohort study (ie, the ratio of the sampling probabilities is 1). I have population cumulative incidence ...
2
votes
0answers
45 views

Dealing with dependant data when estimating probability of an event happening

I have 10 year worth of data from 1970 to 1980 (40 quarters). For each quarter I have five measurements M1, M2, M3, M4 and M5. TWIST: Although the data I have is on individual patient level the ...
1
vote
0answers
90 views

How should I model a Dose-Response Curve with Resistant Subpopulation?

I am looking at the relationship between an environmental exposure and a health outcome. Measurements have been taken on subjects at a number of different time points and I am trying to work out if ...
0
votes
0answers
54 views

Pre-process classification data according to ‘amount of evidence’

I have an area which is divided into polygons of different sizes. Each polygon has the same associated features/predictors and I know whether something occurs within the polygon or not. If something ...
2
votes
1answer
112 views

How to compute confidence interval for number to treat in a logistic regression?

I have built a multivariate regression model where $\mathbf x$ is the variable vector. Now I am asked to calculate the confidence interval for the number to treat (NNT) at $\mathbf x=\mathbf {x_0}$ ...
12
votes
1answer
2k views

Poisson regression to estimate relative risk for binary outcomes

Brief Summary Why is it more common for logistic regression (with odds ratios) to be used in cohort studies with binary outcomes, as opposed to poisson regression (with relative risks)? Background ...
3
votes
1answer
582 views

What does “case-control” and “cross-sectional” mean in the context of logistic modeling?

While studying logistic modeling, I read the following statement The fact that only odds ratios, not individual risks, can be estimated from logistic modeling in case-control or ...
3
votes
2answers
136 views

Queries on conditional logistic regression

Could anyone kindly provide an explanation (mathematically or non-mathematically) about the non-existence of the intercept term in conditional logistic regression? Is the interpretation of the ...