Establishing a standard method for analysing case detection delay in leprosy using a Bayesian modelling approach

Table 1 Overview of case detection delay and age for individuals in the PEP4LEP and Global datasets

Case detection delay (months)											Age (years)
Data source	N	Arithmetic mean	Geometric mean^a	Standard deviation	Coefficient of variation	95% Confidence intervals (arithmetic mean)		Median	Range		Age (years)
Data source	N	Arithmetic mean	Geometric mean^a	Standard deviation	Coefficient of variation	Lower	Upper	Median	Min	Max	Arithmetic mean	Median
PEP4LEP dataset	181	25.9	18.2	28.7	1.11	21.7	30.0	18.0	0	292	39.7	36.0
Global dataset	87	30.6	13.9	54.8	1.79	19.0	42.1	14.0	0	396	47.6	42.0

^aGeometric mean of non-zero values (number of zero values in datasets: PEP4LEP = 1, Global = 2). PEP4LEP Post exposure prophylaxis for leprosy

ISSN: 2049-9957