did_fatalities_splm_coef: Results from a Difference-in-Differences Model

In swash: Health Geography Toolbox for Model-Based Analysis of Infections Panel Data

Results from a Difference-in-Differences Model

Description

Example data frame with results from a difference-in-differences model

Usage

data(did_fatalities_splm_coef)

Format

A data.frame with multiple columns:

Var

Coefficient name

Estimate

Coef. estimate

Std_Error_Bonferroni

Coef. standard error

t_value_Bonferroni

Coef. t value

Pr_t_Bonferroni

Coef. p value

CI_lower_Bonferroni

Coef. lower confidence interval

CI_upper_Bonferroni

Coef. upper confidence interval

Details

Data frame with results from a difference-in-differences model (SPLM model), example data

Source

Wieland T (2025) Assessing the effectiveness of non-pharmaceutical interventions in the SARS-CoV-2 pandemic: results of a natural experiment regarding Baden-Württemberg (Germany) and Switzerland in the second infection wave. Journal of Public Health 33(11), 2497-2511. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1007/s10389-024-02218-x")}

Examples

data(did_fatalities_splm_coef)
# Results of a difference-in-differences model

plot_coef_ci(
  point_estimates = did_fatalities_splm_coef$Estimate,
  confint_lower = did_fatalities_splm_coef$CI_lower_Bonferroni,
  confint_upper = did_fatalities_splm_coef$CI_upper_Bonferroni,
  coef_names = did_fatalities_splm_coef$Var,
  skipvars = c(
    "Alpha_share", 
    "lambda",
    "rho",
    "log(D_Infections_daily_7dsum_per100000_lag2weeks)",
    "vacc_cum_per100000_lag2weeks"
    ),
  lwd = 13,
  pch = 19,
  auto_color = TRUE
)
# Plot with point estimates and confidence intervals

swash documentation built on May 24, 2026, 9:06 a.m.