# Reference

## Parameter estimates
`params_mstate_nma` | Multi-state network meta-analysis parameters
`mstate_nma_pfs` `mstate_nma_os` | Progression-free survival and overall survival from network meta-analysis
`mstate_nma_hazard` | Hazard functions from network meta-analysis
`mstate_nma_hr` | Hazard ratios from network meta-analysis
`mstate_nma_coef` | Coefficients from network meta-analysis
`mstate_ma_coef` | Coefficients from meta-analyses
`adverse_events` | Adverse events
`params_ae_nma` | Adverse event network meta-analysis parameters
`params_utility` | Utility parameters
`params_costs_tx` | Treatment cost parameters
`annualized_tx_costs()` | Annualized treatment costs
`params_costs_op` | Outpatient cost parameters
`params_costs_inpt` | Inpatient cost parameters
`params_costs_ae` | Adverse event cost parameters
`params_costs_prod` | Productivity cost parameters
## Patient population
`age_dist` | Patient age
`create_patients()` | Create patient data table
## Treatment sequences
`treatments` | Treatments
`tx_1L()` | First line treatment options
`tx_2L()` | Second line treatment options
`tx_2LP()` | Second line plus treatment options
`txseq()` | A single treatment sequence
`txseq_list()` | A list of treatment sequences
## Model structure
`model_structure()` | Model structure
`create_states()` | Create health states tables
`create_trans_mat()` | Create transition matrix
## Economic model
`create_transmod_data()` | Data for transition model
`create_transmod_params()` | Parameters for transition model
`create_transmod()` | Create transition model
`create_utilmod()` | Create utility model
`create_costmods()` | Create cost models
`ae_probs()` | Adverse event probabilities
`tidy(<ae_probs>)` | Tidy adverse event data
`sim_prod_costs()` | Compute productivity costs
`summarize_outcomes()` | Summarize model outcomes
## Multi criteria decision analysis
`txattr_performance()` | Treatment attribute performance
`performance_matrix()` | Performance matrix
`lpvf_plot_data()` | Data to plot linear partial value function
`mcda_defaults` | MCDA defaults
`mcda()` | Multi criteria decision analysis
## Value of hope
`value_of_hope()` | Value of hope