Pages that link to "Item:Q5859763"

The following pages link to Generalized meta-analysis for multiple regression models across studies with disparate covariate information (Q5859763):

Displaying 22 items.

• The covariance adjustment approaches for combining incomparable Cox regressions caused by unbalanced covariates adjustment: a multivariate meta-analysis study (Q278117) (← links)
• The synthesis of regression slopes in meta-analysis (Q449775) (← links)
• A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose-response data (Q961909) (← links)
• Generalised interval estimation in the random effects meta regression model (Q1800086) (← links)
• Joint integrative analysis of multiple data sources with correlated vector outcomes (Q2170424) (← links)
• Multivariate meta-analysis for data consortia, individual patient meta-analysis, and pooling projects (Q2427147) (← links)
• Combining individual participant data and summary statistics from both continuously valued and binary variables to estimate regression parameters (Q2802777) (← links)
• A unification of multivariate methods for meta-analysis of genetic association studies (Q2863997) (← links)
• A meta-analysis methodology for utilizing study-level covariate information from clinical trials (Q4843735) (← links)
• Discussion of “A selective review of statistical methods using calibration information from similar studies” and some remarks on data integration (Q5880122) (← links)
• Integrative analysis of multiple case‐control studies (Q6079590) (← links)
• Noniterative adjustment to regression estimators with population‐based auxiliary information for semiparametric models (Q6079851) (← links)
• A GMM approach in coupling internal data and external summary information with heterogeneous data populations (Q6500209) (← links)
• Simultaneous selection and incorporation of consistent external aggregate information (Q6560564) (← links)
• An efficient data integration scheme for synthesizing information from multiple secondary datasets for the parameter inference of the main analysis (Q6589233) (← links)
• Scalable estimation for high velocity survival data able to accommodate addition of covariates (Q6593372) (← links)
• On combining individual-level data with summary data in statistical inferences (Q6593373) (← links)
• Efficient integration of aggregate data and individual participant data in one-way mixed models (Q6628037) (← links)
• Enhanced empirical likelihood estimation of incubation period of COVID-19 by integrating published information (Q6628456) (← links)
• Fitting additive risk models using auxiliary information (Q6629974) (← links)
• Incorporating auxiliary information for improved statistical inference and its extensions to distributed algorithms with an application to personal credit (Q6665470) (← links)
• Statistical inference for high-dimensional linear regression with blockwise missing data (Q6671926) (← links)