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. 2019 Mar 27;8:76. doi: 10.1186/s13643-019-0991-y

Table 3.

Study characteristics for neonatal mortality data

No. Author (year) Duration covered Data source/type Definitive data source Design Estimation method
1. SADHS, 2016 [56] 2011–2016 Empirical data DHS Population-based survey Direct estimation
2. Dorrington et al., 2016 [45] 2012–2015 Empirical data Vital registration Vital registration Direct estimation
3. UNICEF, 2015 [14] 1990–2015 Modelling UNICEF Modelling Bayesian hierarchical splines regression
4. UNICEF, 2014 [61] 1990–2013 Modelling UNICEF Modelling Bayesian hierarchical splines regression
5. Dorrington et al., 2014 [57] 2009–2013 Empirical data Vital registration Vital registration Direct estimation
6. Pattinson et al., 2014 [23] 2012–2013 Empirical data Vital registration Vital registration Direct estimation
7. NaPeMMCO, 2014 [58] 2010–2013 Empirical data PPIP Active surveillance Direct estimation
8. WHO, 2011 [40] 1990–2009 Modelling WHO Modelling Bayesian B-splines bias-adjusted model
9. Oestergaard et al., 2011 [62] 1990–2009 Modelling Model A Modelling Multilevel-regression model
10. NaPeMMCO, 2011 [59] 1997–2008 Empirical data PPIP Active surveillance Direct estimation
11. Rajaratnam et al., 2010 [63] 1970–2010 Modelling Model B Modelling Gaussian process regression
12. SADHS, 2007 [60] 1998–2003 Empirical data DHS Population-based survey Direct estimation
13. Hyder et al., 2003 [64] 1995 Modelling Model C Modelling UN projections
14. SADHS, 1998 [55] 1988–1998 Empirical data DHS Population-based survey Direct estimation