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Biomarker expression values were analysed using the statistical analytical package RStudio version 0.97.551 across each of stages A-D CRC and E (apparently healthy unaffected controls).
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All descriptive and analytical statistics were conducted using the statistical software Intercooled STATA version 8.02.
We generated statistically representative estimates from these data using the statistical weights provided by NCHS and following the relevant analytical guidelines published by NCHS CDCC 2006a).
The statistical analytical program SPSS version 15.0 and 16.0 will be used for registration, analysis and presentation of data.
The statistical analytical process was done in R language.
Should transcriptomic signatures predictive of preterm delivery phenotypes be elucidated from the microarray analyses and validation, gene-environment interactions will be explored by integrating the transcriptomic data with the questionnaire and medical record datasets using appropriate statistical analytical techniques.
While the two fluctuating temperature treatments would presumably lead to differences in growth rate and size, these effects could be accounted for using appropriate statistical analytical techniques (Freckleton, 2002; García-Berthou, 2001; Packard and Boardman, 1999) and thus the interaction between UVBR and temperature could still be considered.
The data were expressed as mean ± SD and analyzed using the SPSS 17.0 statistical analytical software (SPSS, Chicago, IL, USA).
Data analysis was done using multi-variate statistical analytical software SIMCA -P + (V12, Umetrics AB, Umea, Sweden).
Statistical evaluation was performed using the analytical software IBM SPSS Statistics for Windows.
Statistical analyses were performed using the analytical software STATISTIX 9.0 (Analytical Software, Tallahassee, FL, USA).
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