The PROBIT approach in estimating the prevalence of wasting: revisiting bias and precision.
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Is Middle-Upper Arm Circumference "normally" distributed? Secondary data analysis of 852 nutrition surveysNutrition surveillance using a small open cohort: experience from Burkina Faso.A novel, efficient method for estimating the prevalence of acute malnutrition in resource-constrained and crisis-affected settings: A simulation study.Improving estimates of the burden of severe acute malnutrition and predictions of caseload for programs treating severe acute malnutrition: experiences from Nigeria.
P2860
The PROBIT approach in estimating the prevalence of wasting: revisiting bias and precision.
description
2013 nî lūn-bûn
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2013年の論文
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2013年論文
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2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
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2013年論文
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2013年论文
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2013年论文
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2013年论文
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name
The PROBIT approach in estimat ...... revisiting bias and precision.
@en
The PROBIT approach in estimat ...... revisiting bias and precision.
@nl
type
label
The PROBIT approach in estimat ...... revisiting bias and precision.
@en
The PROBIT approach in estimat ...... revisiting bias and precision.
@nl
prefLabel
The PROBIT approach in estimat ...... revisiting bias and precision.
@en
The PROBIT approach in estimat ...... revisiting bias and precision.
@nl
P2860
P356
P1476
The PROBIT approach in estimat ...... revisiting bias and precision.
@en
P2093
Curtis J Blanton
Oleg O Bilukha
P2860
P2888
P356
10.1186/1742-7622-10-8
P577
2013-08-27T00:00:00Z
P5875
P6179
1030367913