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MedCalc 19
醫學統計師
easy-to-use statistical software
軟體代號:884
瀏覽次數:1619
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Features

Data management

  • Integrated spreadsheet (pop-up) with 16384 columns and up to 100000 rows.
  • Correct handling of missing data.
  • Outliers can easily be excluded.
  • Built-in WYSIWYG text editor.
  • Imports Excel, Excel 2007, SPSS, DBase and Lotus files, and files in SYLK, DIF or plain text format.
  • Easy selection of subgroups for statistical analysis.

Documentation

  • Comprehensive help file.
  • Manual in PDF format (go to download area).
  • Complete HTML manual on MedCalc web site.
  • Context help in dialog boxes.

ROC curve analysis

  • Area under the curve (AUC) with standard error, 95% confidence interval, P-value. Offers choice between methodology of DeLong et al. (1988) and Hanley & McNeil (1982 1983).
  • List of sensitivity, specificity, likelihood ratios, and positive and negative predictive values for all possible threshold values.
  • ROC curve graph with 95% Confidence Bounds.
  • Threshold values can be selected in an interactive dot diagram with automatic calculation of corresponding sensitivity and specificity.
  • Plot of sensitivity and specificity versus criterion values.
  • Interval likelihood ratios.
  • Comparison of up to 6 ROC curves: difference between the areas under the ROC curves, with standard error, 95% confidence interval and P-value.
  • Sample size calculation for area under ROC curve and comparison of ROC curves.
  • Go to the ROC curve analysis section of the MedCalc manual for more information on ROC curve analysis in MedCalc.

Graphs

  • Lots of graphs.
  • Data point identification in graphs.
  • Name, save and recall graphs and statistics.
  • Statistical info in graph windows.

Statistical features

  • Summary statistics, including averages, standard deviation, median, percentiles, etc.
  • Tests for Normal distribution: chi-square test, Kolmogorov-Smirnov test, D'Agostino-Pearson test
  • Outlier detection
  • Histogram and cumulative frequency graphs with option of superimposed plot of the Normal distribution
  • Normal plot
  • Dot plot
  • Box-and-whisker plot
  • Correlation, rank correlation (Spearman's rho and Kendall's tau), and scatter diagram
  • Simple regression and scatter diagram with choice of 5 different equations for approximating curve (including parabola), residuals plot
  • Stepwise multiple regression
  • Stepwise logistic regression
  • One sample t-test, independent samples t-test (incl. correction for unequal variances - Welch test) and paired samples tests
  • Rank sum tests: signed rank sum test (one sample), Mann-Whitney test (independent samples), Wilcoxon test (paired samples)
  • Variance ratio test (F-test)
  • One-way analysis of variance (ANOVA) with Levene's Test for Unequal Variances, and Student-Newman-Keuls (SNK) test for pairwise comparison of subgroups
  • Two-way analysis of variance and post-hoc multiple comparisons
  • Analysis of covariance (ANCOVA) and post-hoc multiple comparisons
  • Repeated measures analysis of variance
  • Kruskal-Wallis test and post-hoc multiple comparisons
  • Friedman test and post-hoc multiple comparisons
  • Frequencies table, crosstabulation analysis, Chi-square test, Chi-square test for trend (Cochran-Armitage test)
  • Tests on 2x2 tables: Fisher's exact test, McNemar test
  • Cochran's Q test and post-hoc multiple comparisons
  • Frequencies bar charts
  • Kaplan-Meier survival curve, logrank test for comparison of survival curves, hazard ratio, logrank test for trend
  • Cox proportional-hazards regression
  • Meta-analysis: odds ratio (random effects or fixed effects model - Mantel-Heinszel method); summary effects for continuous outcomes; Forest plot
  • Reference interval (normal range) (CLSI C28-A3)
  • Analysis of Serial measurements with group comparison
  • Bland & Altman plot for method comparison (bias plot) - repeatability
  • Mountain plot
  • Deming regression (method comparison)
  • Passing & Bablok regression (method comparison)
  • Inter-rater agreement: Kappa and Weighted Kappa
  • Intraclass correlation coefficient
  • Concordance correlation coefficient
  • Cronbach's Alpha
  • Responsiveness
  • Receiver Operating Characteristics (ROC) curve analysis, sensitivity and specificity (with 95% confidence interval), likelihood ratios, predictive values. Methods of DeLong et al. (1988) and Hanley & McNeil (1982, 1983).
  • Interval likelihood ratios
  • Comparison of up to 6 ROC curves (with pairwise comparison of the area under the ROC curves, with 95% confidence interval and P-value)
  • Interactive dot diagram for selection of threshold values
  • Significance of difference between means, percentages and between correlation coefficients
  • 95% Confidence Interval for a rate, comparison of rates
  • Different data comparison graphs, lines, bars, error bars (1 SD, 2 SD, 1 SEM, 95% CI, percentile ranges, etc.)
  • Multiple box-and-whisker plots
  • Notched box-and-whisker plots for pairwise comparison of medians
  • Dot and line diagram (ladder plot)
  • Quality control chart
  • Youden plot
  • Comparison of proportions
  • Odds ratio, relative risk, number needed to treat (NNT)
  • Sampling: calculation of sample sizes