nma_data-class function

The nma_data class

The nma_data class contains the data for a NMA in a standard format, created using the functions set_ipd(), set_agd_arm(), set_agd_contrast(), set_agd_surv(), or combine_network(). The sub-class mlnmr_data is created by the function add_integration(), and further contains numerical integration points for the aggregate data.

Details

Objects of class nma_data have the following components:

• agd_arm: data from studies with aggregate data (arm format)

• agd_contrast: data from studies with aggregate data (contrast format)

• ipd: data from studies with individual patient data

• treatments: treatment coding factor for entire network

• classes: treatment class coding factor (same length as treatments

   for entire network)
  

• studies: study coding factor for entire network

• outcome: outcome type for each data source, named list

The agd_arm, agd_contrast, and ipd components are tibbles with the following columns:

• .study: study (as factor)
• .trt: treatment (as factor)
• .trtclass: treatment class (as factor), if specified
• .y: continuous outcome
• .se: standard error (continuous)
• .r: event count (discrete)
• .n: event count denominator (discrete, agd_arm only)
• .E: time at risk (discrete)
• .Surv: survival outcome of type Surv (time-to-event), nested by study arm
• .sample_size: sample size (agd_* only)
• ...: other columns (typically covariates) from the original data frame

Objects of class mlnmr_data additionally have components:

• n_int: number of numerical integration points
• int_names: names of covariates with numerical integration points
• int_cor: correlation matrix for covariates used to generate numerical integration points

The agd_arm and agd_contrast tibbles have additional list columns with prefix .int_, one for each covariate, which contain the numerical integration points nested as length-n_int vectors within each row.

See Also

print.nma_data() for the print method displaying details of the network, and plot.nma_data() for network plots.