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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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產品介紹!

您可以連結以下網址,來預覽所有YouTube的教學影片
http://www.youtube.com/user/SoftHome4MedCalc

 

凡和本公司購買MedCalc軟體,

    將提供軟體版本永久免費更新,您可以自行於官網下載最新版本

   
   
您不必為頻繁的軟體更新而擔負額外費用!

    全傑提供您最完善的售後保障服務!

 

是一個完整的專門為生物統計設計的軟體,內建各種生統專用的工具,是生物醫學研究人員的最佳研究夥伴.

所有統計圖形展示

1.統計軟體網站.

2.試用版下載

試用版 下載和安裝說明
您可以試用本軟體在15天內,
沒有任何功能限制
分32位和64位Windows版本

You can use MedCalc in demo mode 25 times. These limitations are:

1.the data you enter in demo mode cannot be saved on the disk;

2.in demo mode, the MedCalc spreadsheet is limited to 26 columns and 182 rows;

3.in demo mode the software does not allow to export or save graphs

 

Without any feature limitations, during 15 days without registration.

醫學統計師MedCalc


MedCalc提供四種非常重要的功能:
1.最容易使用的接收者操作特徵(ROC Curves)分析工具,且可以比較6組曲線
2.提供(Bland & Altman plot)
3.提供戴明回歸(Deming regression)
4.帕斯巴伯克回歸(Passing-Bablok)

軟體特色:
1.資料管理(Data management)
a.資料表(spreadsheet )可處理100000筆,每筆16384欄
b.可以修正並處理遺失值(missing data)
c.可以去除離群值(Outliers)
d.內建智慧型文字編輯器(WYSIWYG text editor)
e.可以很容易選取部分資料(subgroups)做統計分析
f.可以輸入各種統計軟體的資料格式如
(Excel , SPSS, DBase ,Lotus files, , SYLK, DIF plain text format)

2.文件(Documentation)
a.完整的輔助說明檔
b.PDF使用手冊(可在網路上下載)
c.HTML使用手冊(可在網路上使用)
d.可以在手冊上查詢內容

3.ROC Curve分析內容
a.可計算95%信賴區間的曲線下面積(AUCArea under the curve),P-Value,
methodology of DeLong et al. (1988) and Hanley & McNeil (1982, 1983).
b.可計算敏感度(sensitivity)、蓋似率(likelihood ratios)、正負門檻值(threshold values)
, specificity,
c.可畫ROC 曲線及95%信賴區間曲線
d.散佈點圖(dot diagram)可以依門檻值來畫
e.敏感圖(Plot of sensitivity)可以依設定的原則值(criterion values)來畫
f.可以同時比較6組ROC Curve i比較其面積差異,在95%信賴區間或標準誤之下
g.在ROC Curve可計算所需之樣本數(Sample size)
h.高品質的圖形輸出,符合各大論文期刊
i.可以加文字、箭頭等註解工具
j.圖形可與統計分析相融合

繪圖功能(Graphs)
有數十種常用的統計圖形,Histogram
Cumulative frequency distribution.
Normal plot
Box-and-whisker plot
Scatter diagram
Scatter diagram with regression line
Youden plot
Simple column chart
Clustered column chart
Stacked column chart
100% Stacked column chart
Bland & Altman plot
Mountain plot
Passing & Bablok regression plot
ROC curve
Interactive dot diagram
Plot versus criterion values
Comparison of ROC curves
Simple bars with error bars
Simple line with error bars
Simple box-and-whisker plots
Simple dots plot
Clustered bars with error bars
Clustered lines with error bars
Clustered box-and-whisker plots
Clustered dots plot
Simple bars with error bars
Simple line with error bars
Simple box-and-whisker plots
Multiple line graph
Clustered bars with error bars
Clustered box-and-whisker plots
Clustered dots plot
Clustered dots plot
Kaplan-Meier survival curve
Cox proportional regression: survival curves
Forest plot: odds ratio
Forest plot: standardized mean difference
Control chart
Serial measurements

統計功能 有
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
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
Sampling: calculation of sample sizes


最重要的是MedCalc符合美國健康法案的508條的標準(Section 508 of the U.S. the Rehabilitation Act.)
讓您的統計分析結果不會受到任何質疑。 

圖片展示

                                               

       

        

     

影片教學

Tutorial for MedCalc MedCalc Rank Sum tests: 教學



Tutorial for MedCalc MedCalc Rank Correlation: 教學



Tutorial for MedCalc Passing-Bablok Regression: 教學




Tutorial for MedCalc Partial correlation: 教學




Tutorial for MedCalc paired t-test: 教學



 

Tutorial for MedCalc Deming Regression: 教學



 

Tutorial for MedCalc Distribution Plot: 教學



Tutorial for MedCalc Enter Data: 教學

 

Tutorial for MedCalc Fisher Exact Test: 教學




Tutorial for MedCalc Interactive dot diagram: 教學



Tutorial for MedCalc Inter-rater: 教學



Tutorial for MedCalc Intraclass correlation: 教學

T

utorial for MedCalc Kaplan-Meier survival curve: 教學



Tutorial for MedCalc Logistic regression: 教學



Tutorial for MedCalc: 教學



Tutorial for MedCalc Meta-analysis Continuous data: 教學



Tutorial for MedCalc Meta-analysis Odds ratio: 教學



Tutorial for MedCalc Mountain Plot: 教學



Tutorial for MedCalc Multiple comparison graphs: 教學

 

Tutorial for MedCalc Multiple line grap: 教學

 

Tutorial for MedCalc Multiple Regression: 教學

 

Tutorial for MedCalc one sample t-test: 教學

 

Tutorial for MedCalc One-Way ANOVA.mp4 : 教學

 

Tutorial for MedCalc Outlier detection : 教學

T

utorial for MedCalc Reference Interval.mp4 : 教學

 

Tutorial for MedCalc Reference Line: 教學

 

Tutorial for MedCalc Regression: 教學

 

Tutorial for MedCalc Repeated measures Two Factor.mp4 : 教學

 

Tutorial for MedCalc Repeated measures: 教學

 

Tutorial for MedCalc ROC Curve: 教學

 

Tutorial for MedCalc Sampling.mp4 : 教學

 

Tutorial for MedCalc Select TXT: 教學

 

Tutorial for MedCalc Serial measurements : 教學

 

Tutorial for MedCalc Summary statistics: 教學

 

Tutorial for MedCalc Tests menu: 教學

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