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Table of Contents

Cascading Dismod_at Analysis From Parent To Child Regions

1 Glossary
2 The All Node DataBase
2.1 Covariate Reference Table
2.2 Omega Grid
2.3 All Node omega Values
2.4 All Node Option Table
2.5 Split Reference Table
2.6 Node Split Table
2.7 Mulcov Freeze Table
2.8 Fit Goal Table
3 The at_cascade Examples
3.1 Example Using absolute_covariates Option in all_node_database
3.1.1 absolute_covariates: Python Source Code
3.2 Example Bilinear Interpolation
3.3 Example Continuing a Cascade
3.3.1 continue_cascade: Python Source Code
3.4 Example Using Binomial Density
3.5 Breakup Fitting and Prediction and Run in Parallel
3.6 Example and Test of covariate_both
3.7 Example and Test of covariate_same
3.8 Csv Example Checking Coverage For Asymptotic Samples
3.9 Example Reading and Writing CSV Files
3.10 Remove dage Priors From Child Jobs
3.11 Csv Example Simulating, Fitting and Predicting Diphtheria
3.12 Example Joining Two CSV Tables
3.13 Use a No Data Example to Understand Priors
3.14 Population Weighting of Measurement Values
3.15 Example Predicting From Self and a Descendant
3.16 Example Simulating and Fitting Incidence From Prevalence Data
3.17 Start Fitting a a Particular Node and Sex
3.18 Simulate and Fit Incidence Using Prevalence Data and a Shock Covariate
3.19 Csv Example Simulating, Fitting and Predicting
3.20 Example Using csv.simulate
3.21 Example Using max_fit Option
3.21.1 max_fit_option: Python Source Code
3.22 Example That Directly Measures One Age Time Function
3.22.1 mulcov_freeze: Python Source Code
3.23 Example Using no_ode_fit To Initialize Optimization
3.23.1 no_ode_xam: Python Source Code
3.24 Example That Directly Measures One Age Time Function
3.24.1 one_at_function: Python Source Code
3.25 Example Estimation of iota From Prevalence Data
3.25.1 prevalence2iota: Python Source Code
3.26 Example Fitting Relative Risk Data
3.27 Example Estimation With Remission and No Incidence Data
3.27.1 remission: Python Source Code
3.28 Example Using split_reference Table
3.28.1 split_covariate: Python Source Code
4 The at_cascade Python Module
4.1 Add Log Table Entry
4.2 Predicts Rates and Covariate Multipliers on Parent Grid
4.3 Bilinear Spline Interpolation
4.4 Cascade Fits Starting at Root Node
4.5 Check the Cascade Results for a Node
4.6 Checks Logs For Warnings and Errors
4.7 Clear at_cascade Shared Memory
4.8 Compute Covariate Reference Values
4.9 Continue Cascade From a Fit Node
4.10 Copy Root Node Database
4.11 Copy Root Node Database
4.12 Create an All Node Database
4.13 Table of Job Parent Child Relationships
4.14 Create Database With Shifted Covariate References
4.15 Rows of Data Table That are Include for a Fit
4.16 Create An Empty avgint Table
4.17 Create an Empty Directory
4.18 Create an Empty Directory
4.19 Run One Job
4.20 Fit Using One Process
4.21 Get Tables Corresponding to a Fit Node
4.22 Fit With Specified Maximum Number of Processes
4.23 Get Covariate Information
4.24 Get Database Directory Corresponding To a Fit
4.25 Determine the Set of Nodes to Fit
4.26 Determine the Set of Integrands in Data Table
4.27 Get Set of Covariate Multipliers That are Frozen
4.28 Get Parent Node Name From Option Table
4.29 Map Var Table Values to its Primary Key
4.30 Check if A Job is a Descendant of Another
4.31 Map at_cascade Shared Memory Names
4.32 Move Table
4.33 Do A No Ode Fit For One Node
4.34 Set Omega Constraints in a Fit Node Database
4.35 Check if A Database Table Exists
4.36 Map a Table Row Name to The Row Index
5 The at_cascade.csv Python Module
5.1 Determine Closet Ancestor With Fit and Samples
5.2 Check Columns in a CSV File
5.3 Compute Covariate Averages for One Node
5.4 Add both Sex to csv Covariate Table
5.5 Determine Which Covariates in covariate.csv Are the Same
5.6 Create Spline Functions For Covariates
5.7 Create A Table from a CSV File
5.8 Fit a CSV Specified Cascade
5.9 Get the Header from a CSV File
5.10 Join The Tables In Two Csv Files
5.11 Calculate the predictions for One Fit
5.12 Predict Using One Process
5.13 Predict With Specified Maximum Number of Processes
5.14 Convert Prediction Csv Files From dismod_at Notation to User csv.fit Notation
5.15 Prediction for a CSV Fit
5.16 Create A Table from a CSV File
5.17 Set the Truth Table for a Fitted Database
5.18 Simulate A Cascade Data Set
5.19 Create A CSV File from a Table
6 Wish List for at_cascade
7 Release Notes for at_cascade
7.1 Release Notes for 2026
7.2 Release Notes for 2025
7.3 Release Notes for 2024
7.4 Release Notes for 2023
7.5 Release Notes for 2022
7.6 Release Notes for 2021
8 At Cascade Math
8.1 Adjusting Prior to Fit The Information Matrix
8.2 Dismod ODE With Constant iota and omega
9 Bibliography