Expert Algorithms for Neonatal and Child Causes of Death | Introduction | Getting Started | Data | Assigning Causes of Death | EAVA | InSilicoVA | Summarizing EAVA Results | Comparing CoD Assignments: EAVA & InSilicoVA | CSMFs | Individual Cause Assignment | Conclusion

Introduction | Getting Started | Cause Assignment (uncalibrated) | Results | tabular summaries | plots | Conclusion | References

Specifying cluster-level model in SUMMER for mortality estimation | Specifying the latent logistic model

Prevalence mapping for DHS indicators using the surveyPrev package | 1 Overview | 2 Data Preparation | 2.1 Prerequisites | 2.2 Install surveyPrev | 2.3 Built-in indicators | 2.4 Customized indicators | 2.5 DHS survey data | 2.6 Spatial information | 3 Direct estimates | 3.1 National and Admin 1 direct estimates | 3.2 Admin 2 direct estimates | 4 Area-level Fay-Herriot model | 4.1 Admin 1 Fay-Herriot estimates | 4.2 Admin 2 Fay-Herriot estimates | 5 Cluster-level model | 5.1 Unstratified model | 5.2 Stratified model | 6 Visualizing prevalence estimates | 7 Aggregation to higher admin levels | 7.1 Computing population size from WorldPop raster | 7.2 Estimating population size by survey weight | 7.3 Aggregating direct estimates | 7.4 Aggregating area-level Fay-Herriot estimates | 7.5 Aggregating cluster-level model | Acknowledgement | References

Creating Customized Indicators for surveyPrev | 1 Built-in indicators | 2 New indicators | 2.1 DHS dataset types | 2.2 Option 1: Specifying data processing rules | 2.3 Option 2: Specifying function to process the indicator | 3 Multiple dataset

Introduction | Overview of openVA | Data preparation | The WHO standard format | The PHMRC format | Customized format | Modeling data collected with WHO 2012 questionnaire | Modeling the PHMRC data | Summarizing results | CSMF Accuracy | Individual COD summary | Visualization | Incorporating additional information in the InSilicoVA algorithm | Sub-population specific CSMFs | Physician coding | Removal of physically impossible causes | Acknowledgement | References

Case Study: Estimating Subnational U5MR using DHS data | Pre-processing the data | Bayesian space-time smoothing of direct estimates | Comparing different models

Estimating Subnational U5MR using Simulated Data | Load Data | Direct estimates | Area-level model for U5MR | National estimates of U5MR | Subnational estimates of U5MR | Cluster-level model for U5MR | Aggregation across strata | Visualizations | Benchmarking to external information

Preliminary | Area level models | Artificial poverty rate example | Spatial Fay-Herriot | Unit Level Models | Corn and Soy Production