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Table 2 Evaluating the predictive performance of the nine models for neonatal mortality: 2003–2014 Ghana Demographic and Health Surveys

From: Geospatial analysis of determinants of neonatal mortality in Ghana

Models

variables

Neonatal Mortality

Adjusted for all models

Persons year at risk, and year of survey

AIC

BIC

cvAUROC

Model 1 = Household factors

Age of the household head, sex of the household head, place of residence, household size, zone location, access to an improved water source, access to improved water facility, household ownership of bed-net

8,390,012

8,390,131

58.0%

Model 2 = Child characteristics

Sex of the child, multiple births, birth order, birth spacing, size of the baby at birth

7,709,512

7,709,616

66.0%

Model 3 = Maternal factors

Mothers age at birth, marital status, literacy, parity, type of delivery, place of delivery, early breastfeeding, contraceptive use, history of terminating a pregnancy

5,761,778

5,761,889

61.0%

Model 4 = Model 1 + Model 3

Household factors + Maternal factors

5,586,465

5,586,672

63.0%

Model 5== Model 1 + Model 2

Household factors + Child characteristics

7,528,049

7,528,250

67.0%

Model 6 = Model 2 + Model 3

Child +Maternal factors

5,335,693

5,335,886

73.0%

Model 7 = Model 1 + Model 2+ Model 3

Household factors + Maternal factors+ Child factors

5,156,220

5,156,509

73.0%

Model 8 = Geospatial covariates

The length of the growing season in months, environmental temperature, population density, the prevalence of malaria, proximity to a protected area, net vegetation index, livestock goat.

7,663,200

7,663,348

54%

Model 9 = Model 7+ Model 8

Household factors + Maternal factors+ Child factors+ Geospatial covariates

4,589,203

4,589,614

74%

  1. Abbreviation: AIC Akaike Information Criterion, BIC Bayes Information Criterion, cvAUROC Cross Validated Area Under the Receiver Operating Characteristics Curve