Summarize a "fitted_onlinesurr" object

Prints a human-readable report for an object of class "fitted_onlinesurr" returned by fit.surr. The report includes marginal and conditional treatment-effect estimates at a selected time point (or cumulatively up to that time), an estimate of the LPTE/CPTE, and a time-homogeneity test of the LPTE.

Usage

# S3 method for class 'fitted_onlinesurr'
summary(object, t = object$T, cumulative = TRUE, signif.level = 0.05, ...)

Arguments

object

A "fitted_onlinesurr" object.

t

Integer time index at which to evaluate treatment effects and the PTE. If cumulative = TRUE, effects are aggregated over times 1:t. If cumulative = FALSE, effects are evaluated at time t only.

cumulative

Logical; if TRUE (default), the report uses cumulative (up to time t) marginal and conditional treatment effects. If FALSE, the report uses the effects at time t only.

signif.level

Numeric in \((0,1)\) giving the significance level for the time-homogeneity test that is reported (e.g., via time_homo_test).

...

Additional arguments passed to downstream summary/print utilities (if any).

Value

No return value. Called for its side effect of printing a summary report.

Details

The "fitted_onlinesurr" object stores point estimates and bootstrap samples for marginal and surrogate-adjusted (conditional) models in object$Marginal and object$Conditional.

Examples

fit <- fit.surr(y ~ 1,
  id = id,
  surrogate = ~s,
  treat = trt,
  data = sim_onlinesurr, # This dataset is included in the OnlineSurr package
  time = time,
  verbose = 0,
  N.boots = 500 # Generally, this value would be too small.
  # Remember to increase it for your dataset.
)

# Cumulative up to time 5
summary(fit, t = 5, cumulative = TRUE, signif.level = 0.05)
#> Fitted Online Surrogate
#> 
#> Cummulated effects at time 5:
#>         Estimate Std. Error t value   Pr(>|t|)   
#> Delta    6.65540  0.04904   135.72003 0.0000e+00 ***
#> Delta.R  2.27557  0.35247     6.45608 1.0745e-10 ***
#> CPTE     0.65809  0.05284       -         -       
#> 
#> Time homogeneity test: 
#> 
#> Test stat.   Crit. value   p-value     
#>    1.11084       2.43794    0.61612    
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#> 

# Time-specific at time 5
summary(fit, t = 5, cumulative = FALSE)
#> Fitted Online Surrogate
#> 
#> Local effects at time 5:
#>         Estimate Std. Error t value  Pr(>|t|)   
#> Delta    2.01395  0.02172   92.71419 0.0000e+00 ***
#> Delta.R  0.62847  0.11065    5.67994 1.3474e-08 ***
#> LPTE     0.68794  0.05494      -         -       
#> 
#> Time homogeneity test: 
#> 
#> Test stat.   Crit. value   p-value     
#>    1.11084       2.43875    0.61710    
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>