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Titlebook: New Being; A Study on the Relat Kenan B. Osborne Book 1969 Springer Science+Business Media Dordrecht 1969 concept.interpret.Jesus.Jesus Chr

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發(fā)表于 2025-3-23 11:44:13 | 只看該作者
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發(fā)表于 2025-3-23 19:56:41 | 只看該作者
Book 1969. Unfortunately, Ti1lich himself did not write extensively on this topic, nor did he actually correlate it to the beginning and middle of his system, although it expresses the final telos of his entire theo- logical work. I have drawn out of the Systematic Theology as much as possi- ble on the subje
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發(fā)表于 2025-3-24 01:47:54 | 只看該作者
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發(fā)表于 2025-3-24 03:14:09 | 只看該作者
Kenan B. Osbornef the number needed to treat (NNT). The multiple analysis issue is clearly defined, and a new description of the correct use and interpretation of combined endpoints in health care re978-0-387-32913-0978-0-387-46212-7
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發(fā)表于 2025-3-24 08:41:28 | 只看該作者
acute in nonrandomized studies due to the absence of the random allocation of exposure in the sample chosen from the population. .-values can play a useful role in the causality debate if the researchers are clear that .-values were not designed to measure sample size, effect size or effect attribut
17#
發(fā)表于 2025-3-24 11:37:24 | 只看該作者
Kenan B. Osborne. The use of a two-sided significance test is of utmost importance. A forceful, intelligent argument for ethics will argue not only for a two-sided test, but asymmetrical allocation of alpha. Prospective identification of alpha is again critical here, and community protection predominates all other
18#
發(fā)表于 2025-3-24 16:16:49 | 只看該作者
Kenan B. Osborneacute in nonrandomized studies due to the absence of the random allocation of exposure in the sample chosen from the population. .-values can play a useful role in the causality debate if the researchers are clear that .-values were not designed to measure sample size, effect size or effect attribut
19#
發(fā)表于 2025-3-24 21:42:27 | 只看該作者
20#
發(fā)表于 2025-3-25 00:33:16 | 只看該作者
Kenan B. Osborneacute in nonrandomized studies due to the absence of the random allocation of exposure in the sample chosen from the population. .-values can play a useful role in the causality debate if the researchers are clear that .-values were not designed to measure sample size, effect size or effect attribut
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