Simulation setting. It details the process of the generation of the data for the simulation study. (PDF 113Â kb
Simulation results for the estimation of attributable risk A(.) under proportional hazards, constant...
Supplementary Note. Additional details describing statistical methods and software. Includes results...
Details of a simulation study to assess the statistical properties of the hierarchical model with mu...
Estimation of the Mean squared error. It provides supplementary tables of the simulation study resul...
Estimation of causal effect. It details the formulas used for the calculation of causal effects. (DO...
Estimation of biomarkers’ median effect. It provides supplementary tables of the application results...
Description of biomarkers. It describes the names of the anonymised biomarkers. (DOCX 30Â kb
Supplemental materials including supplemental text, figures, and tables, are available as an additio...
Table S2. Mean number of additionally included prognostic variables for all scenarios with K=24. (PD...
Simulation results for the estimation of attributable risk A(.) under proportional hazards, constant...
Further details of equations (5–7) used to express “pseudo” model data in terms of spatial and tempo...
Table S3. Mean number of additionally included prognostic variables for all scenarios with K=36. (PD...
Table S1. Mean number of additionally included prognostic variables for all scenarios with K=12. (PD...
Likelihood of the distributions used. Description of the likelihood of a Weibull proportional hazard...
Time taken to reach the peak prevalence varies according to the household size distribution in the c...
Simulation results for the estimation of attributable risk A(.) under proportional hazards, constant...
Supplementary Note. Additional details describing statistical methods and software. Includes results...
Details of a simulation study to assess the statistical properties of the hierarchical model with mu...
Estimation of the Mean squared error. It provides supplementary tables of the simulation study resul...
Estimation of causal effect. It details the formulas used for the calculation of causal effects. (DO...
Estimation of biomarkers’ median effect. It provides supplementary tables of the application results...
Description of biomarkers. It describes the names of the anonymised biomarkers. (DOCX 30Â kb
Supplemental materials including supplemental text, figures, and tables, are available as an additio...
Table S2. Mean number of additionally included prognostic variables for all scenarios with K=24. (PD...
Simulation results for the estimation of attributable risk A(.) under proportional hazards, constant...
Further details of equations (5–7) used to express “pseudo” model data in terms of spatial and tempo...
Table S3. Mean number of additionally included prognostic variables for all scenarios with K=36. (PD...
Table S1. Mean number of additionally included prognostic variables for all scenarios with K=12. (PD...
Likelihood of the distributions used. Description of the likelihood of a Weibull proportional hazard...
Time taken to reach the peak prevalence varies according to the household size distribution in the c...
Simulation results for the estimation of attributable risk A(.) under proportional hazards, constant...
Supplementary Note. Additional details describing statistical methods and software. Includes results...
Details of a simulation study to assess the statistical properties of the hierarchical model with mu...
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