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Logistic regression can be used for prediction of the probability of occurrence of an event and makes use of several predictor variables that may be either continuous or categorical.
Logistic regression is used for prediction of the probability of occurrence of an event by fitting data to a logit function.
Logistic regression is a model used for prediction of the probability of occurrence of an event by fitting data to a logistic curve.
LR is a model used for prediction of the probability of occurrence of an event and it is the method of choice among statisticians when the outcome (Y – the dependent variable) is binary.
The logistic regression, a generalized linear model used for binomial regression, is used for prediction of the probability of occurrence of an event by fitting data to a logistic curve.
Among all patients, crude and adjusted binary logistic regression models with ORs and 95% CIs were used for prediction of the probability of being diagnosed as having early-stage disease by socioeconomic quintile.
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An accurate prediction of the probability of disease recurrence is essential for proper therapy selection of PCa tissues.
Figure 5 shows analytical predictions of the probability of fixation for varying levels of polygyny.
(the predicted probability of LBW from the model, or prediction for the probability of LBW in future), and S.E.
(According to PredictIt, an online prediction site, the probability of Clinton finishing ahead of Sanders is eighty-nine per cent).
Intrade, for example, gave real-time market predictions about the probability of winning for each presidential candidate.
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