Description Usage Arguments Value
Given draws of baseline death COUNTS (not rates) and observed death counts, calculate summary metrics of excess mortality, optionally grouping by fields in the data
1 2 3 4 5 6 7 8 | aggregate_summarize_excess(
baseline_deaths_dt,
aggregate = FALSE,
group_cols = NULL,
baseline_draw_cols = paste0("draw", 1:1000),
obs_death_col = "deaths",
alpha = 0.05
)
|
baseline_deaths_dt |
data.table containing draws of baseline death COUNTS (not rates), observed death counts, and optional identifier columns for the period when excess mortality is being calculated |
aggregate |
[bool, default FALSE] should the data be aggregated across grouping columns? |
group_cols |
[char, default NULL] If 'aggregate' is TRUE, group by these columns when aggregating baseline and observed deaths. If aggregation is specified and this argument is left as NULL, the aggregation will occur across all rows |
baseline_draw_cols |
[character, default c('draw1', ... 'draw1000')] columns in 'baseline_deaths_dt' that contain the draws for predicted baseline death counts |
obs_death_col |
[character, default 'deaths'] name of the column in 'baseline_deaths_dt' containing observed deaths by week |
alpha |
[numeric, default 0.05] Cutoff for two-tailed uncertainty interval. For example, the default of 0.05 will use the 95 interval for each outcome |
data.table containing at least the following fields: - Any grouping columns, if specified - 'obs_death_col' as specified in the function argument - 'bl_<mean/lower/upper>': Mean and UI bounds for baseline death counts - 'smr_<mean/lower/upper>': Mean and UI bounds for Standardized Mortality Ratios, calculated as observed / baseline - 'ex_d_<mean/lower/upper>': Mean and UI bounds for Excess Deaths, calculated as observed - baseline - 'sig_under1': Did the observed deaths fall BELOW the baseline deaths UI? - 'sig_over1': Did the observed deaths fall ABOVE the baseline deaths UI?
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