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Table 1 Excluded studies and reasons for exclusion

From: Analytical methods used in estimating the prevalence of HIV/AIDS from demographic and cross-sectional surveys with missing data: a systematic review

Reference

Reason for exclusion

n (%)

Arpino 2014, Barbosa 2002, Blum 2010, Dagne 2015, DiRienzo 2009, Guan 2017, Huang 2012, Kenward 2001, Nyirenda 2010, Obare 2010, Patrician 2002, Scharfstein 2003, Sun 2018, Tian 2007 [12,13,14,15,16,17,18,19,20,21,22,23,24].

Not a survey

14 (31.1)

Bärnighausen 2012, Grassly 2004, Hlalele 2008, Kranzer 2008, Liu Y 2015, Liu S 2015, Mistry 2008, Nelwamondo 2007, Pantanowitz 2009a, Pantanowitz 2009b, Rosinska 2013, Schomaker 2018, Shah 2014, Westreich 2012, Wirth 2010, Wu 2001 [25,26,27,28,29,30,31,32,33,34,35,36,37,38,39].

Do not measure HIV prevalence

16 (35.6)

Boerma 2003, Brookmeyer 2010, Clark 2012; Garcia-Calleja 2006, Gouws 2008, Hund 2013, Korenromp 2013, Larmarange 2014 [2, 6, 40,41,42,43,44].

Methodological article

8 (17.8)

Alkema 2008, Montana 2008, Kayibanda 2011 [45,46,47].

No missing data methods used in the analysis

3 (6.7)

McGovern 2015a, Obare 2010, Pentanowitz 2009a [23, 33, 48].

Duplicate

3 (6.7)

Ng 2013 [49].

Could not assess the risk of bias

1 (2.2)