scqe (version 1.0.0)

scqe.2csumm: Stability controlled quasi-experiment (scqe) for 1 cohort case, summary statistics

Description

This function returns the scqe estimates and confidence intervals for the 2 cohort case when the user inputs only summary statistics.

Usage

scqe.2csumm(
  untr_pre,
  untr_post,
  tr_post,
  tr_pre,
  Y_tr_post,
  Y_untr_post,
  Y_tr_pre,
  Y_untr_pre,
  min_delta,
  max_delta,
  delta,
  alpha = 0.05,
  ...
)

Arguments

untr_pre

Integer number of untreated patients in the first cohort if applicable (summary statistics input) (T=0).

untr_post

Integer number of untreated patients in the second cohort if applicable (summary statistics input) (T=1).

tr_post

Integer number of treated patients in the second cohort if applicable (summary statistics input) (T=1).

tr_pre

Integer number of treated patients in the first cohort if applicable (summary statistics input) (T=0).

Y_tr_post

Outcome for patients who received treatment at time T=1 (summary statistics input).

Y_untr_post

Outcome for patients who did not receive treatment at time T=1 (summary statistics input).

Y_tr_pre

Outcome for patients who did receive treatment at time T=0 (summary statistics input).

Y_untr_pre

Outcome for patients who did not receive treatment at time T=0 (summary statistics input).

min_delta

Minimum delta. Optional, not used if delta is supplied.

max_delta

Maximum delta. Optional, not used if delta is supplied.

delta

Numeric scalar or numeric vector of possible values for change in average non-treatment outcome between cohorts (if applicable).

alpha

Numeric alpha for confidence interval (default is alpha=.05).

...

Extra optional arguments.

Value

scqe object of class "scqe." Returns results table for the 2 cohort, summary statistics case.

Examples

# NOT RUN {
# Two cohorts, summary data only
scqe_2cohort_sum <- scqe(untr_pre = 200,untr_post = 150,tr_post = 50,
                         tr_pre=0, Y_tr_post = 20, Y_untr_post = 1,
                         Y_tr_pre=0, Y_untr_pre = 5,min_delta = 0.1,
                         max_delta = 1)
plot(scqe_2cohort_sum)
summary(scqe_2cohort_sum)

# }