PASS software is an easy-to-use research tool for determining the number of subjects that should be used in a study. As the leader in sample size technology, PASS performs power analysis and calculates sample sizes for over 200 statistical tests and confidence intervals. With more sample size options than any other package, PASS is the best research planning tool on the market.
總結(jié)： Tableau比較適合個人用戶以及沒有經(jīng)過可視化分析培訓(xùn)的企業(yè)人員使用，使用者能夠以最快的時間將自己所掌握的數(shù)據(jù)以可視化圖表的形式展現(xiàn)出來，并通過 Tableau Server 共享給其他用戶 ；而Qlik Sense以其豐富的二次開發(fā)接口和可擴(kuò)展性，提供給用戶充分的定制能力，使用戶可以通過數(shù)據(jù)加載腳本和 Qlik API 來定制數(shù)據(jù)連接和可視化報(bào)表的展現(xiàn)方式，比較適合較大規(guī)模的企業(yè)級應(yīng)用。
PASS software contains a large collection of tools for examining power or calculating sample size for a given statistical procedure. Each procedure may be selected from the menu, category tree, or a procedure search.
PASS Home Window
Once a procedure is chosen, a procedure window opens for input of the needed power or sample size parameters.
Procedure Window for Two-Sample T-Tests
On the procedure window, you can select at the top whether you wish to solve for the sample size, power, or some other parameter. As you mouse over each option, helpful definitions and hints are shown at the right. For many of the parameters, a range of values may be entered to examine the effect of changing that parameter. You can also press the help button in the top right corner to see the technical details of the procedure, as well as examples and procedure validation. When the Calculate button is pressed, the output screen appears with the numeric results, article references, report definitions, summary statements, and charts of the numeric results.
PASS Output Window
This output can be saved or easily copied-and-pasted to a word processing application. The charts can be saved to a variety of file formats.
PASS Features Detail
One or Two Means
PASS contains over 60 tools for sample size estimation and power analysis of the comparison of one, two, or paired means, including t-tests, equivalence, non-inferiority, cross-over, nonparametric, and simulation, among many others. Each procedure is easy-to-use and is carefully validated for accuracy. Use the links below to jump to a means topic. For each procedure, only a brief summary of the procedure is given.
Multiple Means
PASS contains several tools for sample size estimation and power analysis of the comparison of three or more means, including ANOVA, mixed models, multiple comparisons, multivariate, and repeated measures, among others. Each procedure is very straightforward to use and is carefully validated for accuracy. Use the links below to jump to a multiple means topic. For each procedure, only a brief summary of the procedure is given.
Correlation
PASS contains several procedures for sample size calculation and power analysis for correlation, including tests for one and two correlations, confidence intervals for one correlation, and tests for intraclass correlation. PASS also has procedures that compute sample size and power for testing one and two coefficient alphas, testing kappa for the agreement between two raters, and Lin’s concordance correlation coefficient. Each procedure is easy-to-use and validated for accuracy. Use the links below to jump to a correlation topic. Only a brief summary is given for each procedure.
Normality Tests
PASS includes a procedure for power analysis and sample size calculation for eight different tests of normality. The procedure is easy-to-use and validated for accuracy.
Variances and Standard Deviations
PASS contains a number of procedures for sample size calculation and power analysis for variances and standard deviations, including tests for one and two variances, confidence intervals for one variance, confidence intervals for the ratio two variances, and confidence intervals for one standard deviation. Each procedure is easy-to-use and validated for accuracy. Use the links below to jump to a correlation topic. Only a brief summary is given for each procedure.
Regression
PASS contains several procedures for sample size calculation and power analysis for regression, including linear regression, confidence intervals for the linear regression slope, multiple regression, Cox regression, Poisson regression, and logistic regression. Each procedure is easy-to-use and is carefully validated for accuracy. Use the links below to jump to a regression topic. For each procedure, only a brief summary is given.
One Proportion
PASS contains over 20 tools for sample size estimation and power analysis of one proportion, including z-tests, equivalence, non-inferiority, confidence intervals, and conditional power, among others. Each procedure is easy-to-use and is carefully validated for accuracy. Use the links below to jump to a one proportion topic. For each procedure, only a brief summary of the procedure is given.
Two Proportions
PASS contains over 50 tools for sample size estimation and power analysis of two proportions, including z-tests, equivalence, non-inferiority, confidence intervals, correlated proportions, cluster randomized, and conditional power, among many others. Each procedure is easy-to-use and is carefully validated for accuracy. Use the links below to jump to a two proportions topic. For each procedure, only a brief summary of the procedure is given.
Chi-Square and Other Proportions Tests
PASS contains several tools for sample size estimation and power analysis of multiple proportions, including crosstabs (chi-square), Cochran-Armitage, two ordered categorical variables, and sensitivity and specificity, among others. Each procedure is easy-to-use and is carefully validated for accuracy. Use the links below to jump to a proportions topic. For each procedure, only a brief summary of the procedure is given.
Survival
PASS contains over 25 tools for sample size estimation and power analysis of survival methods, including logrank tests, non-inferiority, group-sequential, and conditional power, among others. Each procedure is easy-to-use and is carefully validated for accuracy. Use the links below to jump to a survival topic. For each procedure, only a brief summary of the procedure is given.
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