Linked Questions
16 questions linked to/from Multiple logistic regression power analysis
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Power analysis for logistic regression with dummy independent variables [duplicate]
Per reviewer request, I need to do power analysis for a logistic regression model with multiple dummy variables.
I have four groups: Control, (Treatment) A, B, and C.
The hypothesis is that group A ...
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6
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1
answer
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Power calculations, logistic regression with continuous exposure--cohort [duplicate]
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 (...
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1
answer
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Need help determining sample size for logistic regression [duplicate]
I need help determining the sample size necessary for a logistic regression (binary DV) with two continuous predictors and also the sample size necessary if I use three continuous predictors.
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Sample size for logistic regression. How to determine the number need for positive and negative cases? [duplicate]
I would like to apply logistic regression for my research. And before that, I want to calculate the minimum number of sample size, positive cases, and negative cases.
http://www.medcalc.org/manual/...
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0
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Power Analysis for Logistic Regression with one nominal variable [duplicate]
How do I estimate sample size or do power analysis for logistic regression with one nominal independent variable? Is there a way to do it with Stata?
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0
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Formula to determine minimum sample size for logistic regression [duplicate]
I was researching logistic regression's critieria, and I found in many different sources that the ideal
sample size = (10 * #of explanatory variables) / (probability of least frequent observations)
...
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35
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6
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124k
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Sample size for logistic regression?
I want to make a logistic model from my survey data. It is a small survey of four residential colonies in which only 154 respondents were interviewed. My dependent variable is "satisfactory transition ...
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44
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2
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Simulation of logistic regression power analysis - designed experiments
This question is in response to an answer given by @Greg Snow in regards to a question I asked concerning power analysis with logistic regression and SAS ...
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8
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2
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Are there any power calculation formulas for ML methods beyond Logistic Regression? [closed]
Are there any power calculation formulas for ML methods (for binary classification) beyond Logistic Regression? (also well beyond the laughable rule of thumb 10 instances per variable)
I've done a ...
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5
votes
1
answer
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Understanding the 10:1 events per variable rule
I read online that 1:10 rule is based on the frequency of lower occurring class.
I have a dataset with 4712 records. There are 1558 records labeled yes, and 3554 records labeled no. In my case, the ...
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3
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2
answers
1k
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Power analysis for a factorial logistic regression without estimated proportions for each factor
If we have a balanced factorial designed experiment where each variable is taken in 2 levels (+1,-1) and we don't have estimates of each proportion for each factor level combination like we did in ...
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Sample size of logistic regression with interaction
Could you please help me calculate the minimal sample size in order to detect an interaction effect?
I have estimated effect sizes (% of successes) of binary variables:
...
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3
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0
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How can I calculate the power of my analysis with binary response data?
I have three groups with ~ 15 individuals per group.
Group 1 gets a treatment
Group 2 is a control in the same area
Group 3 is a further control in a different area
The response is binary, 1 or ...
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1
vote
1
answer
274
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Estimating size of validation cohort
We have generated an elastic net model on a small dataset, where we use gene expression data to calculate a biomarker score to discriminate patients with condition X vs controls.
The dataset is too ...
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1
vote
1
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Conducting power analysis to minimize number of tests: generalized linear model (GLZ) with binary outcome, zero inflated binomial predictors R
My problem: I have a fixed, imbalanced, case-control cohort where I am using two (2) low occurrence predictors (rare variants) to try to find an association between the predictors and disease. I will ...
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