Within Stata there are two ways of getting average predicted values for different groups after an estimation command: adjust and predict. After OLS regression (regress), these two ways give the same answer. However, after logistic regression, the average predicted probabilities differ. This article discusses where that difference comes from and the consequent subtle difference in interpretation
<p>Logistic regression analysis of clinical and pathological predictors for EPS.</p
AbstractRecently, penalized regression methods have attracted much attention in the statistical lite...
The logistic regression coefficients and the assigned points for categorized variables included in t...
Within Stata there are two ways of getting average predicted values for different groups after an es...
<p>A logistic regression analysis was performed to assess whether the predictive variables shown in ...
Results from classic linear regression regarding the effect of adjusting for covariates upon the pre...
<p>Results of logistic regression analysis for prediction current (at inclusion) and long-term respo...
Logistic regression examining odds of being in class 1 of latent class analysis, stratified by basel...
Analysts are often required to present results from logistic regressions to non-statisticians. The s...
When the same data are used to fit a model and estimate its predictive performance, this estimate ma...
Logistic regression analysis for predictors of unfavourable neurological outcome.</p
Tables of estimated regression coefficients, usually accompanied by additional information such as s...
Contains fulltext : 172155.pdf (publisher's version ) (Open Access)BACKGROUND: It ...
Univariate logistic regression for predictors of general symptoms regression compared to no change o...
In this article, we explain how to calculate adjusted risk ratios and risk differences when reportin...
<p>Logistic regression analysis of clinical and pathological predictors for EPS.</p
AbstractRecently, penalized regression methods have attracted much attention in the statistical lite...
The logistic regression coefficients and the assigned points for categorized variables included in t...
Within Stata there are two ways of getting average predicted values for different groups after an es...
<p>A logistic regression analysis was performed to assess whether the predictive variables shown in ...
Results from classic linear regression regarding the effect of adjusting for covariates upon the pre...
<p>Results of logistic regression analysis for prediction current (at inclusion) and long-term respo...
Logistic regression examining odds of being in class 1 of latent class analysis, stratified by basel...
Analysts are often required to present results from logistic regressions to non-statisticians. The s...
When the same data are used to fit a model and estimate its predictive performance, this estimate ma...
Logistic regression analysis for predictors of unfavourable neurological outcome.</p
Tables of estimated regression coefficients, usually accompanied by additional information such as s...
Contains fulltext : 172155.pdf (publisher's version ) (Open Access)BACKGROUND: It ...
Univariate logistic regression for predictors of general symptoms regression compared to no change o...
In this article, we explain how to calculate adjusted risk ratios and risk differences when reportin...
<p>Logistic regression analysis of clinical and pathological predictors for EPS.</p
AbstractRecently, penalized regression methods have attracted much attention in the statistical lite...
The logistic regression coefficients and the assigned points for categorized variables included in t...
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