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In the CFA, fit of each instrument model to the data was analyzed via fit indices, Tucker-Lewis index (TLI), comparative fit index (CFI), root mean square error of approximation (RMSEA), and Chi square (χ2) statistics.

Next, the gene expression data was analyzed via individual gene ANOVA for each transcript.

Cells acquisition was performed using a FACS Calibur flow cytometer (BD Biosciences, CA, USA) and data were analyzed via CellQuest software program of the FACS Calibur system (BD Biosciences, CA, USA).

The data were analyzed via model inversions with an empirical hyperbolic light response model and a physiological carboxylase-based process model.

Data were analyzed via univariable and multivariable regression analyses.In all, 28 (14.7%) out of 190 MS-exposed neonates ≥37 weeks were admitted to the NICU, compared with 4 (5.4%) of 74 non-exposed neonates (P=0.04).

The relationship between the poisson model parameter and weather data is analyzed via regression analysis.

IGT net score data were analyzed via mixed-model ANOVA.

In a subsequent step, data were analyzed via stepwise-backwards MVLR-analysis to assess interdependence of these parameters.

First, the data were analyzed via descriptive statistics.

All data were analyzed via repeated-measures analysis of variance (ANOVA) in SPSS 10 (SPSS Inc, Chicago, Illinois).

RT-PCR data were analyzed via the comparative CT (ΔΔCT) method [ 23].