Package index • maicplus

All functions

adrs_sat: Binary outcome data from single arm trial

adrs_twt: Binary outcome data from two arm trial

adsl_sat: Patient data from single arm study

adsl_twt: Patient data from two arm trial

adtte_sat: Survival data from single arm trial

adtte_twt: Survival data from two arm trial

agd: Aggregate effect modifier data from published study

basic_kmplot(): Basic Kaplan Meier (KM) plot function

basic_kmplot2(): Basic Kaplan Meier (KM) plot function using ggplot

bucher() print(<maicplus_bucher>): Bucher method for combining treatment effects

center_ipd(): Center individual patient data (IPD) variables using aggregate data averages

centered_ipd_sat: Centered patient data from single arm trial

centered_ipd_twt: Centered patient data from two arm trial

check_weights() print(<maicplus_check_weights>): Check to see if weights are optimized correctly

complete_agd(): Calculate pooled arm statistics in Aggregated Data (AgD) based on arm-specific statistics

dummize_ipd(): Create dummy variables from categorical variables in an individual patient data (ipd)

estimate_weights() plot(<maicplus_estimate_weights>): Derive individual weights in the matching step of MAIC

find_SE_from_CI(): Calculate standard error from the reported confidence interval.

get_pseudo_ipd_binary(): Create pseudo IPD given aggregated binary data

get_time_as(): Convert Time Values Using Scaling Factors

kmplot(): Kaplan Meier (KM) plot function for anchored and unanchored cases

kmplot2(): Kaplan-Meier (KM) plot function for anchored and unanchored cases using ggplot

maic_anchored(): Anchored MAIC for binary and time-to-event endpoint

maic_unanchored(): Unanchored MAIC for binary and time-to-event endpoint

medSurv_makeup(): Helper function to retrieve median survival time from a survival::survfit object

ph_diagplot(): Diagnosis plot of proportional hazard assumption for anchored and unanchored

ph_diagplot_lch(): PH Diagnosis Plot of Log Cumulative Hazard Rate versus time or log-time

ph_diagplot_schoenfeld(): PH Diagnosis Plot of Schoenfeld residuals for a Cox model fit

plot_weights_base(): Plot MAIC weights in a histogram with key statistics in legend

plot_weights_ggplot(): Plot MAIC weights in a histogram with key statistics in legend using ggplot2

process_agd(): Pre-process aggregate data

pseudo_ipd_sat: Pseudo individual patient survival data from published study

pseudo_ipd_twt: Pseudo individual patient survival data from published two arm study

report_table_binary(): helper function: sort out a nice report table to summarize binary analysis results

report_table_tte(): helper function: sort out a nice report table to summarize survival analysis results

survfit_makeup(): Helper function to select set of variables used for Kaplan-Meier plot

set_time_conversion() get_time_conversion(): Get and Set Time Conversion Factors

weighted_sat: Weighted object for single arm trial data

weighted_twt: Weighted object for two arm trial data