Friday, September 16, 2016

profile of case studies: statistical analysis possibilities


for most studies that assess profile The results will expressed as mean and standard deviation values or median and range for interval variables and as proportions for categorical and ordinal variables. Correlation of interval variables will be analyzed using Pearson’s correlation test. If normal distribution could be assumed, comparison of interval variables between two or more independent samples will be analyzed using the independent t-test or one-way ANOVA, respectively. Interval variables without normal distribution, ordinal and categorical variables will be analyzed using the Wilcoxon-Mann-Whitney or Kruskall-Wallis tests when appropriate. Proportions will be analyzed using Pearson's chi-square test; Fischer’s exact test will be used as an alternative in contingency tables of 2x2 variables. A p-value of <0.05 will be considered significant; when using sequential Mann-Whitney tests, p-value significance was calculated using the Bonferroni correction. and for prevalence studies: 1. prevalence is expressed as percentage studies with numertaor and denominator 2. incidence may be expressed with newly diagnosed cases in numerator 3. Subgroups may be studied with modified Pearsons T test 4. If the sample size more than 500, Spearman test may be applicable between subgroup correlations. Kondekar

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