Selected article for: "chi squared test and statistical analysis"
Author: Azhar, Iman Rezaee; Mohraz, Minoo; Mardani, Masoud; Tavakoli, Mohammad Ali; Afshar, Amin Ehteshami; Zamani, Mohammad; Sadeghpoor, Simin; Safari, Saeid; Dadashpoor, Roozbeh; Rezaee, Mahsa; Shirvani, Fariba; Azimi, Shohreh; Heydarifard, Zahra; Ranjbar, Hamidreza Hagh; Lotfi, Amir Hossain; Mosadegh, Farhad; Hashemnejad, Farhad; Jazayeri, Seyed Mohammad
Title: Influenza species and subtypes circulation among hospitalized patients in Laleh hospital during two influenza seasonal (2016-2017 and 2017-2018) using a multiplex Real Time-Polymerase Chain Reaction
  • Document date: 2020_4_15
    • ID: 1ykji0c8_8
    Snippet: Statistical analysis was performed by using the Statistical Package for Social Science (SPSS 21, SPSS Inc., Chicago, Illinois, USA). Data were expressed as percentages for categorical variables and means ± standard deviations (SDs) for continuous variables. The intergroup differences of numerical values were performed by using the Student's t-test. Categorical variables were expressed as percentages, and differences between groups were judged fo.....
    Document: Statistical analysis was performed by using the Statistical Package for Social Science (SPSS 21, SPSS Inc., Chicago, Illinois, USA). Data were expressed as percentages for categorical variables and means ± standard deviations (SDs) for continuous variables. The intergroup differences of numerical values were performed by using the Student's t-test. Categorical variables were expressed as percentages, and differences between groups were judged for significance using the chi-squared test. For all comparisons, P-value <0.05 was considered as statistically significant.

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