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. 2018 Mar 14;146(6):688–697. doi: 10.1017/S0950268818000304

Table 2.

Wald test chi-squared statistics for covariate predictors (with degrees of freedom) and seasonality parameters predicted by logistic model fitted with GEE

Bangladesh Brazila India Nepal Pakistan Perua South Africaa Tanzania
Calendar time 31.62††† (4) 8.06 (3) 0.67 (1) 5.78 (2) 0.72 (1) 94.95††† (4) 3.32 (1) 17.23†† (4)
Age 7.45†† (1) 5.89 (4) 13.11†† (3) 18.52††† (4) 0.37 (1) 9.65††† (1) 0.36 (1) 0.36 (1)
Seasonality 54.45††† (4) 11.18 (4) 24.35††† (4) 92.63††† (4) 33.73††† (2) 20.27††† (4) 8.87 (2) 39.37††† (4)
1st Peak Timing December 25 October 3 February 1 January 16 January 2 May 3 April 18 June 12
Peak value 0.08 0.01 0.07 0.10 0.05 0.07 0.02 0.05
Amplitude 0.06 0.01 0.07 0.09 0.04 0.05 0.01 0.05
2nd Peak Timing Jul 15 May 6 Sep 13 Oct 3 December 24
Peak value 0.04 0.01 0.04 0.05 0.03
Amplitude 0.02 0.01 0.04 0.03 0.03
QIC statistic 1819.71 193.31 749.77 887.46 8903.42 1649.77 9200.47 1020.58
a

Country in which the rotavirus vaccine had been introduced at the time of the study.

†††p < 0.001, ††p = 0.001–0.01, p = 0.01–0.05. Numbers in parentheses indicate degrees of freedom – the number of model terms selected for that covariate.