中间时期 发表于 2025-3-21 18:43:35
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ssible without special computationally intensive methods.CliMachine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional statistical methods to analyze small data. The first and second volumes reviewed subjects like optimal sc无聊点好 发表于 2025-3-22 03:19:24
Random Effects,sidual, i.e. due to chance. If certain patients due to co-morbidity, co-medication, age or other factors will respond differently from others, then the spread in the data is caused not only by the residual effect but also by subgroup properties.ENNUI 发表于 2025-3-22 05:42:06
Complex Samples,However, this method is generally biased due to selection bias. Complex sample technology is better suitable for that purpose, because it produces largely unbiased population estimates. It is little used in clinical research.礼节 发表于 2025-3-22 09:06:46
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Ton J. Cleophas,Aeilko H. Zwindermanction have been described in the quest for a solution to this problem. All surgical methods aim at reproducing the properties of the natural ligament as accurately and quickly as possible. The search for the optimal ACL replacement has led researchers in various directions, but the two major groups大洪水 发表于 2025-3-22 21:36:35
Ton J. Cleophas,Aeilko H. Zwindermanre . = ., .−1,..., −. (cf. Section 2.4). The effect of a ligand field of particular symmetry consists, in general, in splitting the free ion levels labeled by . into ligand field states. The decomposition is equivalent to the reduction .where ..(.) is subduced from representation .. of .(3) and wher冷峻 发表于 2025-3-23 03:03:27
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