Topics Covered

     Means
  Estimating single mean, hypothesis testing of 2 & >2 means (paired and unpaired samples, repeated measurements, ANCOVA)
     Proportions
  Estimating a single proportion, hypothesis testing of two proportions (equal & unequal), matched paired designs
     Agreement
  Kappa, Intra-class correlation coefficient (ICC)
     Diagnostic Tests
  Sensitivity, Specificity, PPV, Positive & Negative likelihood ratios
     Regression Methods
  Simple correlation & regression, simple & multiple logistic regressions
     Survival Analysis
  Log-rank test, Cox regression, Exponential survival curves
     Cluster Designs
  Estimation (continuous & binary), comparison of means, proportions & incidence rates (matched & unmatched)
     Equivalence Study
  Paired & unpaired tests for means and proportions
     Epidemiological Designs
  Cohort, unmatched and matched case-control studies
     Clinical trials
  Comparison of Means and Proportions, Superiority trials, Equivale nce /Bio equivalence, Non inferiority trials from parallel and Crossover designs
     non-Parametric
  Sign test, will coxon signed rank test, Nann-whitney U test

Special Qualities

     Background, assumptions, formula, examples and references for each procedure
     Explanations, accepted and suggested entries for each parameter
     Sample size as well as power calculations
     Automatic display of effect size, number of required discordant pairs and ICC
     The output can be saved in a tabular format in MS Excel and with different Alpha and Power combinations in MS Word.
     The real time examples, which are used to demonstrate the situations, are mostly from the research experience of Christian Medical College (CMC) and articles from indexed journals.