Research Synthesis Methods 3: 111-125.White IR, Barrett JK, Jackson D, Higgins JP. Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression. Res Synth Methods. 2012; 3(2): 111-25. ... IR White,JK Barrett,J Dan,... - 《Research Synthesis...
Multivariable regression models are widely used in health science research, mainly for two purposes: prediction and effect estimation. Various strategies have been recommended when building a regression model: a) use the right statistical method that matches the structure of the data; b) ensure an ...
三、Difference in Differences（DiD）当然目前为止我们还没有回答题主的问题。把DiD放在前面因为这个和题...
on Regression Model 50.Research on the Innovative Development of Energy Technology Enterprise Incubators Based on Regression Model50.Research on the Innovative Development of Energy Technology Enterprise Incubators Based on Regression ModelMin Kuang
Meteorological factors-based corn grow simulation model research In this paper, we chose corn's up ground weight as the index of Biomass. Through the correlation analysis, we found that the accumulation of corn biomass i... D Wang,G Zhang - 《Journal of Maize Sciences》 被引量: 8发表: 20...
Climate feedbacks in a general circulation model incorporating prognostic clouds This study performs a comprehensive feedback analysis on the Bureau of Meteorology Research Centre General Circulation Model, quantifying all important fee... R Colman,J Fraser,L Rotstayn - 《Climate Dynamics》 被引量: ...
The partial least squares regression (PLSR) was proposed by Wold[11] in 1979, and it was feasible to solve the multivariate regression problem with independent multivariate correlation. This model projected the predicted variables to a new space, so that the difference between the dependent variables...
Research on the Relationship between Financial Development and Economic Growth in China: An Empirical Analysis based on Panel Smooth Transition Regression ... In this paper, the panel smooth transition regression model was used to analyze the relationship between financial development and economic growth...
Infrequent count data in psychological research are commonly modelled using zero-inflated Poisson regression. This model can be viewed as a latent mixture ... T Loeys,B Moerkerke,OD Smet,... - 《British Journal of Mathematical & Statistical Psychology》 被引量: 106发表: 2012年 The analysis of...
Training a model in Regression Learner consists of two parts: Validated Model: Training a model with a validation scheme. By default, the app protects against overfitting by applying cross-validation. Alternatively, you can choose holdout validation. The validated model is visible in the ap...