Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS Yu Qingzhao
Third-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Using this method, multiple third- variables of different types can be considered simultaneously, and the indirect effect carr… Celý popis ↓
Porovnanie cien Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS Yu Qingzhao
Popis Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS Yu Qingzhao
Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS Yu Qingzhao
Third-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Using this method, multiple third- variables of different types can be considered simultaneously, and the indirect effect carried by individual third-variables can be separated from the total effect. Differentiating between the indirect effect of individual factors from multiple third-variables is a constant problem for modern researchers.Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS introduces general definitions of third-variable effects that are adaptable to all different types of response (categorical or continuous), exposure, or third-variables.
Readers of all disciplines familiar with introductory statistics will find this a valuable resource for analysis.Key
Podobné produkty
Stated Preference Methods Using R
