---------------------------------------------------- lines 5-123 of file: xrst/table/integrand_table.xrst ---------------------------------------------------- {xrst_begin integrand_table} The Integrand Table ################### Discussion ********** The ``integrand`` table is used to identify data integrands. It has the following columns: integrand_id ************ This column has type ``integer`` and is the primary key for this table. Its initial value is zero, and it increments by one for each row. minimum_meas_cv *************** This column has type ``real`` and is non-negative and less than or equal one. It specifies the minimum coefficient of variation for measurement values with this integrand. To be specific; for the data table :ref:`data_table@integrand_id` is the same, :ref:`data_table@meas_value` is the measurement value, and :ref:`data_table@meas_std` is the measurement standard, the minimum cv measurement standard deviation is *Delta* = ``max`` ( *meas_std* , *minimum_meas_cv* * | *meas_value* | ) see :ref:`Delta` in the data likelihood section. integrand_name ************** This column has type ``text`` . The following is a list of the possible values for *integrand_name* . This column is unique; i.e., each name can only appear once in this table. All of the *integrand_id* values that appear in the :ref:`data` and :ref:`avgint` tables need to appear in the integrand table. ODE === If the column ODE below is yes, and a data point has a :ref:`rate covariate` that is not equal to its :ref:`covariate_table@reference` value, the :ref:`avg_integrand@Differential Equation` needs to be solved for each cohort that intersects or surrounds the age-time span for this data point. (The space between cohorts is determined by the :ref:`option_table@Age Average Grid@ode_step_size` .) This computation is preformed each time the :ref:`model_variables-name` change. Names ===== .. list-table:: :widths: auto * - Integrand Name - Description - ODE * - :ref:`avg_integrand@Integrand, I_i(a,t)@Sincidence` - incidence rate relative to susceptible population - no * - :ref:`avg_integrand@Integrand, I_i(a,t)@remission` - remission rate - no * - :ref:`avg_integrand@Integrand, I_i(a,t)@mtexcess` - excess mortality rate - no * - :ref:`avg_integrand@Integrand, I_i(a,t)@mtother` - other cause mortality rate - no * - :ref:`avg_integrand@Integrand, I_i(a,t)@mtwith` - with condition mortality rate - no * - :ref:`avg_integrand@Integrand, I_i(a,t)@relrisk` - relative risk - no * - :ref:`avg_integrand@Integrand, I_i(a,t)@susceptible` - susceptible fraction of the population - yes * - :ref:`avg_integrand@Integrand, I_i(a,t)@withC` - with condition fraction of the population - yes * - :ref:`avg_integrand@Integrand, I_i(a,t)@prevalence` - prevalence of the condition - yes * - :ref:`avg_integrand@Integrand, I_i(a,t)@Tincidence` - incidence rate relative to total population - yes * - :ref:`avg_integrand@Integrand, I_i(a,t)@mtspecific` - cause specific mortality rate - yes * - :ref:`avg_integrand@Integrand, I_i(a,t)@mtall` - all cause mortality rate - yes * - :ref:`avg_integrand@Integrand, I_i(a,t)@mtstandard` - standardized mortality ratio - yes * - ``mulcov_`` *mulcov_id* - the group covariate multiplier specified by :ref:`mulcov_table@mulcov_id` - no {xrst_toc_hidden example/table/integrand_table.py } Example ******* The file :ref:`integrand_table.py-name` contains an example ``integrand`` table. {xrst_end integrand_table}