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Results tagged with logistic
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user 261208
Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
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Is the use of logistic regression with 'ordered entry of variables' in this paper statistica...
I'm reading a paper which says:
In performing the logistic regression analyses, the order of entry of predictor variables was guided by our theoretical rationale and our major hypotheses. … What advantage is there to this approach, compared to just throwing all the variables into a single logistic regression? …
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Is there an accepted set of assumptions underlying logistic regression?
Searching the internet for 'logistic regression assumption' turns up 3, 4, 5 or 6 assumptions. … Is it simply the case that noone has derived a set of assumptions for logistic regression?
Roback & Legler: …
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How to estimate this specific logistic regression model which is not linear in its parameters?
A. Suppose I want to fit the regression
$Y = f(\lambda X_1 + (1-\lambda) X_2)$
where $f(x) = ax^2 + bx + c$, and $\lambda$, a, b, c are to be estimated using the data.
This is nonlinear, but it's str …
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Is G*Power reliable for logistic regression? It does not seem to account for Hauck-Donner
Is G*Power a reliable way to calculate power for logistic regression? (The paper has 500 citations, so I feel I must be missing something...) … Demidenko, E. (2007), Sample size determination for logistic regression revisited. Statist. Med., 26: 3385-3397. https://doi.org/10.1002/sim.2771
Hauck, W. W., & Donner, A. (1977). …
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What does it mean to run a power analysis for one variable in a multiple logistic regression?
I'm analysing a published logistic regression with 11 predictors, $\textrm{logit}(Y) = \sum \beta_i X_i$. … (I can see why that would happen for linear regression, but not logistic.) …
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Does propensity score matching reduce OVB?
There is then a choice between
normal logistic regression with all the covariates in, including 'isTreated' as a binary covariate.
propensity score matching to create a control group & subsequent comparison … individuals that are similar in terms of measured variables are also likely to be similar in terms of unmeasured variables
it will pick up the effect of interaction terms that are not included in the logistic …
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With logistic regression, how does one choose a number of predictors when preregistering a s...
.* For logistic regression $m$ is $\textrm{min}(n_1, n_2)$, where $n_1$ and $n_2$ are the numbers in the two categories you are predicting. (E.g. number of deaths, number of survivals.) …
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One sided likelihood ratio test for a logistic regression model?
I need to run a one-sided test on one parameter of a logistic regression model:
$H_0$: $\beta = 0$
$H_1$: $\beta \geq 0$
I want to avoid Wald-equivalent methods as these are known to have problems with … logistic regression. …
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