CRC Press LLC
Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS
Product Code:
9781032220086
ISBN13:
9781032220086
Condition:
New
$65.89
Third-variable effect refers to the intervening effect of a third-variable on the observed relationship between an exposure and an outcome. The third-variable effect analysis differentiates the effect from multiple third variables that explain the established exposure-outcome relationship. Depending on whether there is a causal relationship from the exposure to the third variable to the outcome, the third-variable effect can be categorized into two major groups: mediation effect where a causal relationship is assumed and confounding effect where there is no causal relationship. A causal relationship can be established through randomized experiments--
| Author: Qingzhao Yu, Bin Li |
| Publisher: CRC Press LLC |
| Publication Date: May 27, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 1032220082 |
| ISBN-13: 9781032220086 |
Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS
$65.89
Third-variable effect refers to the intervening effect of a third-variable on the observed relationship between an exposure and an outcome. The third-variable effect analysis differentiates the effect from multiple third variables that explain the established exposure-outcome relationship. Depending on whether there is a causal relationship from the exposure to the third variable to the outcome, the third-variable effect can be categorized into two major groups: mediation effect where a causal relationship is assumed and confounding effect where there is no causal relationship. A causal relationship can be established through randomized experiments--
| Author: Qingzhao Yu, Bin Li |
| Publisher: CRC Press LLC |
| Publication Date: May 27, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 1032220082 |
| ISBN-13: 9781032220086 |
