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MedCalc.v14.8.1.0.x64.Cracked-EAT
Type:
Applications > Windows
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9
Size:
16.85 MiB (17668093 Bytes)
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2014-09-12 17:08:18 GMT
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Info Hash:
96E42B52C113F6403D7D74FC61A48491B81BF103




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E A T P R E S E N T S

MedCalc.v14.8.1.0.x64.Cracked-EAT

RELEASE INFO

SUPPLIER: TEAM EAT
PROG TYPE: SCIENTIFIC
LANGUAGE: ENGLISH
RELEASE DATE: 2014-09-11
CRACKER: TEAM EAT
PROTECTION: DEMO-LIMITS
DIFFICULTY: GUESS!
PACKAGER: TEAM EAT
FORMAT: ZIP/RAR
ARCHIVE NAME: eatmc481.zip
No OF DISKS: [XX/04]
REQUIREMENTS: WinXP/Vista/Win7/Win8 (x64)
PRICE: $395.00
WEBSITE: http://www.medcalc.org

RELEASE NOTES

MedCalc is a complete statistical program for
Windows designed to closely match the requirements
of biomedical researchers. It is fast, user-friendly
and reliable

MedCalc is the most user-friendly software for
Receiver Operating Characteristic curve (ROC curves)
analysis. The MedCalc ROC module includes comparison
of up to 6 ROC curves. The software also includes
Bland & Altman plot, Passing and Bablok and Deming
regression for method comparison studies

Data management
* Integrated spreadsheet 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, see Graph gallery
* Data point identification in graphs
* Draw text boxes, lines, arrows and connectors
* Name, save and recall graphs and statistics
* Statistical info in graph windows
* Save graphs as BMP, PNG, GIF, PCX, JPG or TIF
files, or as PowerPoint slides (*.pptx)

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
* Forest plot
* Comparison of proportions
* Odds ratio, relative risk, number needed to treat
(NNT)
* Sampling: calculation of sample sizes
Update history: http://www.medcalc.org/history.php

COMMENTS

Do NOT distribute this release outside of the scene
Keep the scene alive and secure!

All good progs start as freeware
then things get worse ... :wink:

INSTALLATION NOTES

`TLB'
Try it, Like it, Buy it!

1. Unpack and install
2. Import the included registry file
3. Copy the included files into the installed folder

That's all. Have fun using it! ;-)

___________________________________________________________________

Always remember to block applications (or go off line) from calling
home 'during install'. Once installed, disable 'check for automatic
updates' option if available, so that you don't get it blacklisted

EAT CONTACT

EAT is a closed group. We would consider only:

Excellent reverse-engineers
Experienced coders/scripters
Supplier of quality software who can do so on a
frequent basis (retail date not older then 6 months)

We do *NOT* want
Distros, Shells, etc
Carders <You aren't what the scene is & bring even more
security risk>
Couriers

EAT NEWS: GREETINGS

All our friends out there

Respect goes out to the competition
and to those who keep the scene secure!

n0!

NFO LAST UPDATE ON 2009

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