n4Studies Plus vs StatsCalc Usage & Stats

Ease to calculate the sample size with n4Studies Plus. n4Studies Plus makes it easy to calculate the sample size and the power of a study in various study designs. It comes with ABSOLUTELY NO WARRANTY. However, It can be helped to learn and find the ways to calculate the sample size and power of the study in minutes. Key features: • Calculate the sample size for simple and multiple linear regression, logistic regression • Calculate the sample size for survival analysis e.g. compare 2 survival curves, compare for equality between 2 hazard rates etc. • Calculate the sample size for diagnostic study, cross-over study • Calculate the sample size for estimating an infinite population mean, finite population mean, infinite population proportion and finite population proportion • Calculate the sample size for comparing two population means and two population proportions • Calculate the sample size for the Case-Control for study, Matched Case-Control study, Cohort study, Randomized Controlled Trial, Non-inferiority trial and Equivalence trial • Calculate the power of a study for comparing two population means and two population proportions • Calculate the power of a study for the Case-Control for study, Matched Case-Control study, Cohort study, Randomized Controlled Trial, Non-inferiority trial and Equivalence trial • Sample size and power calculations for measures of Agreement (both Kappa statistic and Intraclass correlation coefficients) • You can send a output via Email to your colleagues

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StatsCalc

Short Description: Computes descriptive statistics of quantitative variables. Performs statistical tests and computes confidence intervals in one, two and multiple-sample situations. Provides regression analysis using linear, exponential and power-law models. Computes probabilities and quantiles for standard statistical distributions. Provides statistics features usually found on hand-held calculators. Accuracy of numerical results tested against Wolfram Mathematica. Features: Data Entry: Easy (list-based) entry of quantitative and categorical data, and two-way tables. Voice-based data entry (Siri) is possible. One-Sample Methods: Z-Test for the Mean. Z-Interval for the Mean. T-Test for the Mean. T-Interval for the Mean. Wilcoxon Signed Rank Test. Chi-squared Test for the Standard Deviation. Chi-squared Interval for the Standard Deviation. One-Proportion Z-Test. One-Proportion Z-Interval. Chi-squared Test for Goodness-of-Fit. Two-Sample Methods: Z-Test for Two Means. Z-Interval for Two Means. T-Test for for Two Means (Assuming Equal Variances). T-Interval for Two Means (Assuming Equal Variances). T-Test for for Two Means (Assuming Unequal Variances). T-Interval for Two Means (Assuming Unequal Variances). F-Test for for Two Standard Deviations. F-Interval for Two Standard Deviations. Two-Proportion Z-Test. Two-Proportion Z-Interval. McNemar Test. Multiple Sample Methods: One-way ANOVA. Chi-squared Test for Independence. Cochran's Q-Test Correlation and Regression: Two-Variable Descriptive Statistics. T-Test for Correlation. Linear Model Fit and Regression Analysis. Exponential Model Fit and Regression Analysis. Power-Law Model Fit and Regression Analysis. Spearman Rank Correlation. Probability Theory: Distribution Calculator: Contains methods for computing probabilities and quantiles for standard statistical distributions. Computes Mean, Variance and Standard Deviation for a Discrete Random Variable.