畏缩
发表于 2025-3-26 22:56:13
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Metastasis
发表于 2025-3-27 03:23:34
Introduction, medicine. Predictions come from statistical models or algorithms that may be developed with more stringent or more relaxed assumptions. The reliability of predictions suffers from aleatory and epistemic uncertainty, which relate to sample size and broader epidemiologic concepts of generalizability.
夜晚
发表于 2025-3-27 06:30:15
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尖酸一点
发表于 2025-3-27 09:53:56
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strain
发表于 2025-3-27 17:39:57
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abnegate
发表于 2025-3-27 18:15:12
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埋葬
发表于 2025-3-28 01:08:50
Missing Values predict. Traditional complete case analysis suffers from inefficiency, selection bias of subjects, and other limitations when developing a prediction model. We briefly review the theoretical background on mechanisms of missingness of predictor values and how these may affect prediction models. We f
ENNUI
发表于 2025-3-28 04:02:58
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jumble
发表于 2025-3-28 06:44:48
Coding of Categorical and Continuous Predictorse for entering in regression models and must first be inspected and managed before the statistical analysis starts. As in any data analysis, we will usually start with obtaining an impression of the data under study, such as the occurrence of missing values and the distribution of predictors and out
Tdd526
发表于 2025-3-28 10:51:11
Restrictions on Candidate Predictorsrther analysis, in particular if our data set is relatively small. A small sample size leads to problems as discussed in Chap. ., such as limited power to test effects of potential predictors, and too extreme predictions when predictions are based on the standard regression coefficients (overfitting