Month: June 2026

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MedCalc V23.1.1 Multilingual

File size: 67.8 MB​

Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more.

With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. The information can be easily sorted, filtered or edited.

The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.

One of the most important features of MedCalc is related to its ROC curve analysis capabilities. It can generate the ROC curve graph with 95% confidence bounds, calculate specificity, sensitivity, predictive values for all the thresholds, likelihood ratios, generate conclusive plots and determine the size of an area under the ROC graph. Up to 6 ROC curves can be compared, calculating the differences between the areas, the standard errors, P-values and more.

MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.

A summary of the statistical report can be easily generated and data can be placed and viewed side-by-side thanks to the multiple comparison graphs function.
MedCalc requires at least basic statistics knowledge in order to get the most out of its potential. Its extensive array of features make it a must-have tool for running method comparison studies and analyzing biomedical data.

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https://www.medcalc.org/history.php

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https://www.medcalc.org/

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️ MedCalc V23.1.1 Multilingual (68.89 MB)
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Married to the Mob 1988 1080p BluRay x264-OFT

Married to the Mob (1988) 6.2 (21,023 Votes)
Runtime: 1h 44m

Genre: Comedy, Crime, Romance

Cast: Michelle Pfeiffer, Alec Baldwin, Paul Lazar

Plot: A mobster’s wife hates her lifestyle, but gets a chance to change it when her husband is killed – if the Long Island mob and the FBI let her.

Married to the Mob 1988 1080p BluRay x264-OFT

IMDB information:

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https://www.imdb.com/title/tt0095593/

Title: Married to the Mob (1988)
Genres: Comedy, Crime, Romance
Description: Angela deMarco is unhappily married to high Mafia member Frank deMarco. When Frank is killed, Angela takes the opportunity to break free of the Mafia world entirely and start a new life. But Frank’s boss, Tony Russo, begins to court the unresponsive Angela. The FBI begins surveillance on her, thinking her to be his new mistress. FBI agent Mike Downey goes undercover as Angela’s neighbor, but soon finds himself attracted to Angela himself.
Director: Jonathan Demme
Writer: Barry Strugatz, Mark R. Burns
Actors: Michelle Pfeiffer, Alec Baldwin, Paul Lazar
Rating: 6.2
Votes: 20927
Rated: R
Runtime: 104 min
Languages: English

General:
Name: Married to the Mob 1988 1080p BluRay x264-OFT
Format: mkv
Size: 4.33 GB

Video:
Width: 1920 pixels
Height: 1080 pixels
Format: AVC
Codec: V_MPEG4/ISO/AVC
Duration: 01:44:06
Bit rate: 5760 Kbps
Frame rate: 23.976 fps
Aspect ratio: 16:9
Subtitles: English

Audio:
Audio track: 1
Language: English
Codec: A_AC3
Bit rate: 192 Kbps
Compression: Lossy
Sampling rate: 48 Khz

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MedCalc v22 030 x64 Incl Keymaker-CORE

MedCalc v22 030 x64 Incl Keymaker-CORE

Cracked by: RmC Release-Name: CR-GTGC7.ZIP
Supplied: CORE Release-Date: 2024/07/08
Packaged: CORE Release-Type: Util
Protection: Serial OS: x64
Crack/SN: Keymaker Language: English
Rating: [You decide!] Disks: 7
: DESCRiPTiON: MedCalc is a statistical software package for biomedical research

Statistics include more than 220 statistical tests, procedures and
graphs

ROC curve analysis, method comparison and quality control tools: iNSTALL/REGiSTER NOTES: Use our keymaker to register the application

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https://rapidgator.net/file/143e88557bf190ae42a087259be58f15/MedCalc.v22.030.x64.Incl.Keymaker-CORE.rar.html

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MedCalc v22 030 Incl Keymaker-CORE

MedCalc v22 030 Incl Keymaker-CORE

Packaged: CORE Release-Type: Util
Protection: Serial OS: Windows
Crack/SN: Keymaker Language: English
Rating: [You decide!] Disks: 7
: DESCRiPTiON: MedCalc is a statistical software package for biomedical research

Statistics include more than 220 statistical tests, procedures and
graphs

ROC curve analysis, method comparison and quality control tools: iNSTALL/REGiSTER NOTES: Use our keymaker to register the application

Code:Copy to clipboard

https://rapidgator.net/file/9c0d33cfbbb8081d4554240ce97e3620/MedCalc.v22.030.Incl.Keymaker-CORE.rar.html

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MedCalc 23.1.6 Multilingual

File size: 69.1 MB​

Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more.

With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. The information can be easily sorted, filtered or edited.

The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.

One of the most important features of MedCalc is related to its ROC curve analysis capabilities. It can generate the ROC curve graph with 95% confidence bounds, calculate specificity, sensitivity, predictive values for all the thresholds, likelihood ratios, generate conclusive plots and determine the size of an area under the ROC graph. Up to 6 ROC curves can be compared, calculating the differences between the areas, the standard errors, P-values and more.

MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.

A summary of the statistical report can be easily generated and data can be placed and viewed side-by-side thanks to the multiple comparison graphs function.
MedCalc requires at least basic statistics knowledge in order to get the most out of its potential. Its extensive array of features make it a must-have tool for running method comparison studies and analyzing biomedical data.

Code:Copy to clipboard

https://www.medcalc.org/history.php

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https://www.medcalc.org/

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️ MedCalc 23.1.6 Multilingual (69.12 MB)

UsersDrive Link(s)
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https://usersdrive.com/ec3zrp0qvy8l.html

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MedCalc 23.1.5 Multilingual

File size: 67.8 MB​

Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more.

With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. The information can be easily sorted, filtered or edited.

The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.

One of the most important features of MedCalc is related to its ROC curve analysis capabilities. It can generate the ROC curve graph with 95% confidence bounds, calculate specificity, sensitivity, predictive values for all the thresholds, likelihood ratios, generate conclusive plots and determine the size of an area under the ROC graph. Up to 6 ROC curves can be compared, calculating the differences between the areas, the standard errors, P-values and more.

MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.

A summary of the statistical report can be easily generated and data can be placed and viewed side-by-side thanks to the multiple comparison graphs function.
MedCalc requires at least basic statistics knowledge in order to get the most out of its potential. Its extensive array of features make it a must-have tool for running method comparison studies and analyzing biomedical data.

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https://www.medcalc.org/history.php

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https://www.medcalc.org/

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️ MedCalc 23.1.5 Multilingual (69.03 MB)

ClickNUpload Link(s)
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MedCalc 23.1.3 Multilingual

File size: 68.9 MB​

Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more.

With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. The information can be easily sorted, filtered or edited.

The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.

One of the most important features of MedCalc is related to its ROC curve analysis capabilities. It can generate the ROC curve graph with 95% confidence bounds, calculate specificity, sensitivity, predictive values for all the thresholds, likelihood ratios, generate conclusive plots and determine the size of an area under the ROC graph. Up to 6 ROC curves can be compared, calculating the differences between the areas, the standard errors, P-values and more.

MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.

A summary of the statistical report can be easily generated and data can be placed and viewed side-by-side thanks to the multiple comparison graphs function.
MedCalc requires at least basic statistics knowledge in order to get the most out of its potential. Its extensive array of features make it a must-have tool for running method comparison studies and analyzing biomedical data.

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https://www.medcalc.org/history.php

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https://www.medcalc.org/

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️ MedCalc 23.1.3 Multilingual (68.9 MB)
RapidGator Link(s)
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https://rapidgator.net/file/63102211cb61340c1554e135f94ae643/MedCalc23.rar

ClickNUpload Link(s)
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MedCalc 23.1.2 Multilingual

File size: 68.9 MB​

Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more.

With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. The information can be easily sorted, filtered or edited.

The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.

One of the most important features of MedCalc is related to its ROC curve analysis capabilities. It can generate the ROC curve graph with 95% confidence bounds, calculate specificity, sensitivity, predictive values for all the thresholds, likelihood ratios, generate conclusive plots and determine the size of an area under the ROC graph. Up to 6 ROC curves can be compared, calculating the differences between the areas, the standard errors, P-values and more.

MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.

A summary of the statistical report can be easily generated and data can be placed and viewed side-by-side thanks to the multiple comparison graphs function.
MedCalc requires at least basic statistics knowledge in order to get the most out of its potential. Its extensive array of features make it a must-have tool for running method comparison studies and analyzing biomedical data.

Code:Copy to clipboard

https://www.medcalc.org/history.php

Code:Copy to clipboard

https://www.medcalc.org/

⋆🕷- – – – -☽───⛧ ⤝❖⤞ ⛧───☾ – – – -🕷⋆​

️ MedCalc 23.1.2 Multilingual (68.89 MB)
RapidGator Link(s)
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https://rapidgator.net/file/89ee2c22abccbd8016626e21f227baf6/MedCalc23.rar

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Married to a Balla 2024 720p TUBI WEB-DL AAC2 0 H 264-MAD

Married to a Balla (2024) 5.1 (120 Votes)
Runtime: 1h 44m

Genre: Thriller

Plot: When a mother suffering from domestic abuse escapes her dangerous, pro-athlete husband, she will stop at nothing to keep her family safe.

Married to a Balla 2024 720p TUBI WEB-DL AAC2 0 H 264-MAD
File Size : 876.85 MB​

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Size........: 876.85 MB

Duration....: 01:44:44

Container...: mkv

Video.......: 01:44:44 | 1170 Kbps | V_MPEG4/ISO/AVC

Audio.......: A_AAC-2, 44 Khz, 2 channels, N/A

Genre.......: Thriller, TV Movie



iMDB URL ....: https://www.imdb.com/title/tt32514475/



Plot  ......: When a mother suffering from domestic abuse escapes her dangerous, pro-athlete husband, she will stop at nothing to keep her family safe.
Title: Married to a Baller
Rating:8.5
Director: Emily Skye
Writers : Jamal Hill, Tressa Azarel Smallwood
Cast Dominique Madison, Emanuel Alexander, Darian J. Barnes
Languages:English
​

​
=====[1 LiNKS ] [ NO EXTRACTiONS ] [ NO PASS ENJOY] [LINKS ARE INTERCHENGEABLE] [Part 5 GB]======​
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https://rapidgator.net/file/1ff3c757c627ec8b419da07a71881151/Married_to_a_Balla_2024_720p_TUBI_WEB-DL_AAC2_0_H_264-MAD.rar

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https://clicknupload.click/iiqhovhci5ta/Married_to_a_Balla_2024_720p_TUBI_WEB-DL_AAC2_0_H_264-MAD.rar

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MDB Viewer Plus 2.67

File Size : 1.7 Mb​

MDB Viewer Plus is a small, yet highly reliable utility designed to open and manipulate Access files. By providing such simple means to view, edit and search MDB and Accdb database records, itâs an easy alternative to Microsoft Access.

MDB Viewer Plus Feature List
Can open MDB and Accdb files.
Table opening, viewing and inline editing.
Tabbed interface.
Standard search and partial word search.
Filtering / sorting records by fields.
Table and query result printing.
Record view (form style view).
Record count.
Query – standard SQL select statements.
Opening and saving of SQL statements to file.
Table Info (field types) plus printing of structure.
Table types.
Portable; no installation required to run. (Provided MDAC is already installed as part of Windows)
Exports to TXT, HTML, XML, DBF, XLS, WKS, RTF and PDF.
Import from CSV,TXT,Doc,XLS,WK1,WQ1,SAV,DB,DBF,MDB,ADO,ADT,DAT,HTM,XML,WAB and VCS.
Support Access 2007 Accdb files (Provided "Microsoft Office Access database engine 2007" is installed).
Unicode compatible.
Create new blank database.
Create / rename / delete table.
Set / change / remove password.
Support for Workgroup Files (MDW).
Display related child table link to the parent table.
Add / remove / rename / alter fields.
Customisable many to many relationship dialog.
Selective opening of tables

License: full_version
Author: SysInfoTools
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https://www.sysinfotools.com/

⋆🕷- – – – -☽───⛧ ⤝❖⤞ ⛧───☾ – – – -🕷⋆​

️ MDB Viewer Plus 2.67 (1.74 MB)
RapidGator Link(s)
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Drop Link(s)
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https://drop.download/wkgi3q7vk17c/MDBPlus.zip