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Titlebook: Epidemiology and Biostatistics; Practice Problem Wor Bryan Kestenbaum Book 2019 Springer Nature Switzerland AG 2019 Epidemiology.Biostatist

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樓主: MOTE
41#
發(fā)表于 2025-3-28 15:02:05 | 只看該作者
Confounding,l pathway of association. Strategies to control for confounding include restriction, stratification plus adjustment, matching, and regression. The presence of confounding is suspected when the size of the association of interest changes meaningfully after adjustment by one of these methods.
42#
發(fā)表于 2025-3-28 19:08:54 | 只看該作者
43#
發(fā)表于 2025-3-29 00:06:58 | 只看該作者
Hypothesis Tests in Practice,nce in the population (type I error) or declare a result to be nonsignificant when in fact there is an actual difference in the population (type II error). Study power, which is the probability of not making a type II error, is influenced by sample size, effect size, variation, and the threshold value for declaring significance.
44#
發(fā)表于 2025-3-29 06:18:18 | 只看該作者
45#
發(fā)表于 2025-3-29 09:03:32 | 只看該作者
46#
發(fā)表于 2025-3-29 12:12:59 | 只看該作者
47#
發(fā)表于 2025-3-29 16:58:14 | 只看該作者
Case-Control Studies,ssociations with previous exposures. Due to the manner in which participants are selected for these studies, case-control data alone cannot be used to directly calculate the incidence of disease or incidence-based measures of risk. However, it is possible to estimate relative risk from case-control study data using the odds ratio.
48#
發(fā)表于 2025-3-29 23:23:20 | 只看該作者
49#
發(fā)表于 2025-3-30 00:49:10 | 只看該作者
50#
發(fā)表于 2025-3-30 05:19:31 | 只看該作者
Log-Link and Logistic Regression,predictor variable. For binary outcomes, the logistic regression model relates the log odds of the outcome with one or more predictor variables. The antilog of each coefficient in a logistic regression model describes the odds ratio of the outcome variable associated with a one-unit difference in the predictor variable.
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