logistic回归分析方法 is 一般的统计方法

送交者: HunHunSheng 于 2007-04-18, 15:55:03:

The advantage is you can examine the effect of several
factors in one model. If you use other 一般的统计方法
(like chi-square, fisher's exact), you have to do it
in several seperate analysis.

"我们也不明白搞这种统计分析为什么还要用多元 logistic回归分析方法。
大家知道，做回归分析的目的是用历史数据预测未来，并且需要得出数学公式。
像这种病例调查，用一般的统计方法就可以了。所以，原始文献作者不是在故弄
玄虚，就是根本不懂回归分析方法。"

所有跟贴:

prediction is not the only purpose - zzzz2008 (494 bytes) 2007-04-19, 13:00:02 (136545)
With a binary outcome, - zzzz2008 (230 bytes) 2007-04-19, 12:50:32 (136542)
一般回归分析方法 can not be used because response (+/-) is binary (无内容) - HunHunSheng (0 bytes) 2007-04-18, 15:56:35 (136368)
- you can. just w/ lots of side effect like natural heteroskedasticity - mangolasi (303 bytes) 2007-04-18, 16:16:26 (136374)
  - Traditional regression does not make any sense in this case (无内容) - HunHunSheng (0 bytes) 2007-04-18, 16:22:42 (136377)
    - where? I saw people who have to use traditional regression for binary - mangolasi (241 bytes) 2007-04-18, 16:26:18 (136382)
      - No friggin expected value for binary response - HunHunSheng (32 bytes) 2007-04-18, 16:28:59 (136383)
        
        you can do a simple linear regression with binary response - xj (43 bytes) 2007-04-18, 18:05:39 (136393)
  - we should call for the lost in xlogit to explain this... (无内容) - mangolasi (0 bytes) 2007-04-18, 16:18:41 (136375)

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