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Spss software system 20

Manufactured by IBM
Sourced in United States

SPSS software system 20.0 is a comprehensive statistical analysis software package developed by IBM. It provides a wide range of tools for data management, analysis, and visualization. The core function of SPSS is to enable users to perform statistical analyses, including descriptive statistics, regression analysis, and hypothesis testing, on a variety of data types.

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Lab products found in correlation

2 protocols using spss software system 20

1

Malnutrition in Zambian Children SFPs

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This was a community-based retrospective observational study. Pediatric data was routinely collected and entered in the database with removal of personal identifiers. The current study presents data on malnourished Zambian children aged 6 to 59 months who were assisted from 2012 to 2014 in the Rainbow Project SFPs around the Ndola area. A database with all pediatric records coming from different SFPs was generated. Data were extracted and analyzed using SPSS software system 20.0 (IBM, Somers, NY, USA). Weight-for-age z-scores (WAZ) were calculated using the WHO Anthro Software (Version 3.2.2, January 2011, WHO, Geneva, Switzerland), based on the 2006 World Health Organization Child Growth Standards [20 ]. Descriptive data and variables measured were presented as means with standard deviations (SD). For recovered children differences between means of anthropometric parameters were tested with the student t-test. The odds ratios, 95% confidence intervals, between age and length of stay, age and SAM, HIV, and MAM were calculated. Univariate and multivariate Cox regression (forward stepwise model) was performed to identify the main predictors of mortality and cure.
The study protocol was approved by the Tropical Diseases Research Centre (TDRC) Ethics Committee of Ndola, Zambia (IRB registration number 00002911).
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2

Hepatitis and HIV Liver Toxicity Analysis

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Characteristics in the hepatitis coinfected and the HIV monoinfected groups were compared using the Mann–Whitney test for continuous variables and the chi square or Fisher’ s exact test for categorical variables. The Kaplan-Meier method was used to define the time to the development of liver toxicity and the Cox proportional hazards model to identify factors associated with its emergence. Variables were included in the multivariate model if they were significant at a P value of less than 0.25 in univariate analysis. For all statistical tests, two-sided P values less than 0.05 were considered to be significant. Data analysis was done using the SPSS software system 20.0 (IBM, Somers, NY, USA).
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