רשימת תכונות מפורטת

עבודה עם ממשק גיליון אלקטרוני
חישוב אפקט הטיפול (או גודל האפקט) באופן אוטומטי
בצע את המטא-אנליזה במהירות ובדייקנות
צור חלקות יער ברזולוציה גבוהה בלחיצה אחת
דוחות
הדרכות וידאו
מרווחי חיזוי
טעויות נפוצות וכיצד להימנע מהן
השתמש במטא-אנליזה מצטברת כדי לראות כיצד הראיות השתנו עם הזמן
השתמש בניתוח "הסר אחד" כדי לאמוד את ההשפעה של כל מחקר
עבודה עם קבוצות משנה של הנתונים
עבודה עם מספר תת-קבוצות או תוצאות בתוך מחקרים
הערך את ההשפעה של משתנים מנחים
הערך את ההשפעה הפוטנציאלית של הטיית פרסום

עבודה עם ממשק גיליון אלקטרוני

הזנת נתונים ישירות או ייבוא נתונים מתוכנית אחרת

You can type data directly into the spreadsheet, much as you would with any spreadsheet-based program. Or, if you are currently using another program for meta-analysis, you can either copy data directly from that program or import it using a Wizard.

מה אם יש לי מספר תתי-קבוצות או תוצאות בתוך מחקרים?

The program allows you to work with studies that report data for more than one subgroup, outcome, time-point, or comparison. The program makes it easy to enter data for these studies, and offers a number of options for working with them in the analysis.

חישוב אפקט הטיפול (או גודל האפקט) באופן אוטומטי

In every meta-analysis you start with the published summary data for each study and compute the treatment effect (or effect size). For example, if a study reports the number of events in each group you might compute the odds ratio. Or, if a study reports means and standard deviations you might compute the standardized mean difference. This process of computing effect sizes is typically tedious and time consuming. In some cases, especially when studies present data in different formats, the process is also difficult and prone to error.

עם CMA התהליך מהיר ומדויק

With CMA you enter whatever summary data was reported in the published study, and the program computes the effect size from that summary data. For example, you could enter events and sample size, and the program would compute the odds ratio. Or, you could enter means and standard deviations, and the program would compute the standardized mean difference. Three examples (selected from more than a hundred options) are shown here.



מה אם הנתונים שלי הם בתבנית אחרת?

What if your studies reported data in some other format? Perhaps you have studies that reported only a p-value and sample size. Or, you have studies that reported an odds ratio and confidence limits. With any other program you would need to compute the effect size and variance for each study before proceeding to the analysis. By contrast, CMA allows you to enter almost any kind of data – it includes 100 formats for data entry similar to the three shown above. Simply locate your data type in a list and CMA will create the corresponding columns in the spreadsheet.

> לחץ כאן כדי לראות את הרשימה המלאה

באיזו נוסחה משתמשת התוכנית כדי לחשב את ההשפעות הללו?

To see the formula used to compute an effect size, double-click on that effect size. The program opens a dialog box that shows the exact formula used and also all details of the computation for that specific row.

מה אם אני רוצה להשתמש במדד אחר של אפקט הטיפול?

In one of the examples shown above we entered events and sample size and the program computed the odds ratio and risk ratio. What if you would prefer to work with the risk ratio? Or what if you wanted to compute the standardized mean difference corresponding to the odds ratio? In another example we entered means and standard deviations and the program computed the standardized mean difference. What if you would prefer to work with the raw mean difference, or to compute the correlation corresponding to the standardized mean difference?

CMA מאפשר לך לעבוד עם המדד שבחרת, ולעבור הלוך ושוב בין מדדים.

לדוגמה, אם הזנת את האירועים ואת גודל המדגם, התוכנית תחשב את יחס הסיכויים, יחס יחסי הסיכויים, יחס הסיכון, יחס סיכון יומן, הפרש סיכון, הפרש ממוצע מתוקנן מתוקנן (d), הפרש ממוצע מתוקנן הטיה (g), מתאם ו- z של פישר. לחלופין, אם תזין אמצעים וסטיות תקן, התוכנית תחשב את הפרש הממוצע הגולמי, הפרש הממוצע המתוקנן המתוקנן (d), הפרש הממוצע המתוקנן על ידי הטיה (g), המתאם, z של פישר, יחס סיכויי היומן ויחס הסיכויים.

דוגמאות אלה הן קבוצת משנה של התבניות והמדדים הנתמכים.

מה אם מחקרים שונים דיווחו על סוגים שונים של נתונים?

Above, we showed that you can customize the data entry screen to accept almost any kind of data. But what different studies provide different kinds of data? For example, what if one study reported events and sample size while another reported the odds ratio and confidence interval? How would you get both kinds of data into the program?

CMA allows you to mix and match the different data formats. You can enter events and sample size for the first few studies, then odds ratio and confidence interval for the next few studies, log odds ratios with variances for others, and so on. Or, you can enter means and standard deviations for some studies, p-values for other studies, t-values for others, and so on. You can customize the spreadsheet with as many kinds of data formats as you like. The program will compute the effect size from each of them and (to the extent possible) allow you to include them all in the same analysis. CMA is the only program to offer this feature.

מה אם חלק (או כל) המחקרים שלי כוללים עיצובי טרום-פוסט או קרוסאובר?

CMA כולל תבניות עבור יותר מ-20 עיצובי קדם-פוסט או הצלבה, וזה חשוב במיוחד מכיוון ששגיאת התקן עבור אלה עשויה להיות קשה לחישוב אחרת. בנוסף, תוכלו לערבב ולהתאים את המחקרים האלה למחקרים שהשתמשו במבחנים שלאחר המבחנים בלבד.

> For a list of all formats click here.

מה אם כבר חישבתי את גודל האפקט?

אם כבר חישבת את גודל האפקט ואת השונות שלו (או שגיאת תקן) אתה יכול להזין אותם ישירות (כמו שהיית מזין נתונים בכל פורמט אחר).


האם ניתן לערבב נתונים בינאריים, רציפים ומתואמים?

As explained above, the program allows you to enter summary data in more than one format – for example, events and sample size for one study and odds ratios with confidence intervals for another. But in this example both studies used binary data. What if some studies report binary data (events and sample size) while others report continuous data (means and standard deviations) or correlational data?

The program is able to convert across these different classes of data. It will convert among odds ratios, standardized mean difference, and correlations so that all may be used in the same analysis.

מה אם יש לי מחקרים שמסתכלים על הערכות נקודתיות ולא על גודלי אפקטים או השפעות טיפול?

While most meta-analyses work with effect sizes (which assess the relationship between two variables) some are used to estimate a risk, rate, or mean in one group (for example, “What is the risk of Lyme disease?”). CMA will work with these effects (or point estimates) as well.


האם ניתן להריץ מטא-אנליזה על משקלי רגרסיה?

Yes. In addition to being able to work with recognized effects (such as odds ratios and mean differences) the program is able to work with generic point estimates which may be analyzed either in their original scale or on a log scale.

בצע את המטא-אנליזה במהירות ובדייקנות

לחיצה אחת מפעילה את המטא-אנליזה המרכזית ויוצרת תצוגה המשמשת כמפת דרכים לכל הדברים הבאים.

This display is an interactive forest plot that yields a clear sense of the data - How many studies are included in the analysis, how precise is each of the studies, whether the effect is consistent from study to study or varies substantially across studies, and so on. You can then customize this display as needed. Add or remove columns, set computational options, open tables with additional statistics. Some examples follow.

הצגת משקלי מחקר

בלחיצה אחת ניתן לכלול עמודה המציגה את המשקל היחסי המוקצה לכל מחקר. עם מנגנון זה, מתברר אם האפקט המשולב הוא פונקציה של מחקרים רבים, או אם הוא הונע בעיקר על ידי תת-קבוצה קטנה של המחקרים.

בחר את המודל החישובי

Click on a tab to select the fixed effect model or the random effects model. You can also display the two simultaneously, which makes it possible to see how the point estimate and confidence interval differ between the two models.

להבין כיצד המודל החישובי משפיע על משקלי המחקר

The program will also display the relative weights for a fixed effect analysis and a random effects analysis side-by-side. This helps to explain why the combined effect shifts as we move from fixed effect to a random effects model (See paper).

התאמה אישית של מסך הניתוח

You have full control over the statistics displayed for each study. You can display basic statistics such as the effect size, standard error, and confidence limits. You can display counts, such as events and sample size for each group. You can display diagnostics for each study, such as the residual (the distance from the study to the combined effect).

בחירת האינדקס של גודל האפקט

The tool bar includes a drop-down box that lists all available indices for the treatment effect (or effect size). When you select an effect size such as the odds ratio or standardized mean difference, all statistics, weights, and graphs, are updated automatically.

הצגת כל פרטי החישובים

All computations are displayed on a spreadsheet. You can view this spreadsheet and actually follow all details of the computation. If you are using your own spreadsheet for meta-analysis you can compare this spreadsheet with your own. This also serves as a unique teaching tool.

צור חלקות יער ברזולוציה גבוהה בלחיצה אחת

A key element in any meta-analysis is the forest plot – a plot that shows the effect size and precision for each study as well as the combined effect. This plot puts a face on the analysis – it shows whether the combined effect is based on a few studies or many, whether the effect size is consistent or varies, and so on. As such, the forest plot plays a central role in helping the researcher to understand the data, and also to convey the findings to others.

Most other meta-analysis programs use graphics engines that were developed for other purposes and push them into service for creating forest plots. By contrast, the plotting engine in CMA was developed specifically for the purpose of meta-analysis. It is very easy to use and provides a wide range of important options.

Create a high-resolution plot in one click and then customize any element on the plot. Select a symbol for studies, for subgroups, and for overall effect. Optionally, specify that symbols should be proportional in size to study weights, so the studies that contribute the most to the combined effect are easy to spot. Set colors and fonts for each element on the graph, and then export to Word™ or PowerPoint™ in a single click!

> לחץ כאן כדי לראות אותו ב- Word™

ייצוא מגרשים ל- PowerPoint™

With one click you can open PowerPoint™ and insert a copy of the current slide. The whole process takes about 2 seconds.

> לחץ כאן כדי לראות אותו ב- PowerPoint™

דוחות

בלחיצה אחת התוכנית תיצור מסמך המדווח על כל הנתונים הסטטיסטיים בפורמט המתאים לפרסום.

בלחיצה שנייה התוכנית תעיר את המסמך הזה ותסביר את המשמעות של כל הנתונים הסטטיסטיים כמו גם הנחות ומגבלות

בלחיצה שלישית התוכנית תייצא מסמך זה ל- Word

לדוח לדוגמה, לחץ כאן.

הדרכות וידאו

We have developed videos of case studies that show how to run an analysis from start to finish. This includes how to enter data, how to run the analysis, how to create plots, how to compare the effect size in different subgroups, and so on.

Critically, each section of the video explains now only how to perform specific functions, but what purpose these functions serve in the context of the analysis, and how to understand the meaning of the statistics.

Each case study runs about ninety minutes. You can watch one from start to finish to learn how to perform a meta-analysis and report it properly. Or, from any screen in the program you can jump to the part of the video that explains all functions on that screen.

מרווחי חיזוי

In any meta-analysis it is important to report the mean effect size and also how widely the effect size varies across studies. This dispersion is addressed by the prediction interval. This allows us to report, for example, that the mean effect size is a standardized mean difference of 0.50 but that in any single population the true effect size could be as low as 0.05 or as high as 0.95. Many guidelines for reporting a meta-analysis now request the inclusion of prediction intervals.

In Version 4 the program offers the option to display the prediction interval as part of the forest plot. Additionally, with one click you can create a plot that shows the entire distribution of true effects. With one more click you can export this to Word or PowerPoint.

טעויות נפוצות וכיצד להימנע מהן

לאחרונה פרסמנו ספר בשם טעויות נפוצות במטא-אנליזה וכיצד להימנע מהן

ספר זה כולל טעויות בתחומים כגון בחירת מודל סטטיסטי, סטטיסטיקה הקשורה להטרוגניות, השוואת תת-קבוצות של מחקרים, הטיית פרסומים ועוד.

מכל מסך בתוכנית, אתה יכול ללחוץ על קישור שיפתח PDF עם החלקים הרלוונטיים של הספר.

השתמש במטא-אנליזה מצטברת כדי לראות כיצד הראיות השתנו עם הזמן

A cumulative meta-analysis is actually a series of meta-analyses, where each analysis in the sequence incorporates one additional study. For example, the first row in the analysis might include a study published in 1990, the next row would include studies published in 1990 and 1991, and so on. A cumulative meta-analysis may be done retrospectively, to show how the body of evidence has shifted over time (see the Lau study, for example), or prospectively, with new studies being added to the body of evidence as they are completed (see the Childbirth example).

While cumulative meta-analysis is most often used to track evidence over time, it can also be used to show how the evidence shifts as a function of other factors. For example, we could sort the data by study size and run a cumulative analysis. In this case the program would show the combined effect with only the largest studies included (toward the top) and how this effect shifted as smaller studies were added to the analysis (see the passive smoking example). Similarly, we could start with the higher quality studies and see how the effect shifts as other studies are added.

השתמש בניתוח "הסר אחד" כדי לאמוד את ההשפעה של כל מחקר

As part of a sensitivity analysis we might want to assess the impact of each study on the combined effect. For example, what was the impact on the combined effect of an outlier or of an especially large study? Or, did a small study have any impact at all?

To address these kinds of questions the program will automatically run the analysis with all studies except the first, then all studies except the second, and so on. The resulting plot shows the impact of each study at a glance.

בנוסף, יש לך אפשרות להריץ את הניתוח עם כל מחקר או קבוצת מחקרים שהוסרו - ניתן לבחור אותם לפי שם, או לפי ערך של משתנה מנחה.

עבודה עם קבוצות משנה של הנתונים

When running the analysis you can select by (or filter by) any variable or combinations of variables. You could include or exclude studies by study name. You could include studies that had been rated “Yes” for “Double-blind”. You could include studies where the age had been coded as “Elderly” and the patient type as “Chronic.

עבודה עם מספר תת-קבוצות או תוצאות בתוך מחקרים

התוכנית מאפשרת להזין נתונים עבור יותר מתת-קבוצה אחת, תוצאה, נקודת זמן או השוואה בתוך מחקרים, ומציעה אפשרויות שונות להתמודדות עם אלה בניתוח.

הערך את ההשפעה של משתנים מנחים

כאשר גודל ההשפעה משתנה באופן משמעותי ממחקר למחקר, מטרה חשובה של המטא-אנליזה יכולה להיות להבין את הסיבה לשונות זו.

Use analysis of variance to assess the impact of categorical moderators. For example, “Is the treatment more effective for acute patients than for chronic patients?” or “Is homework a more effective intervention than tutoring?”

Use meta-regression to assess the impact of continuous moderator variables. For example, “Does the treatment effect increase as a function of dosage?”, or “Is the magnitude of the effect size related to the age of the students?”

הערך את ההשפעה הפוטנציאלית של הטיית פרסום

Meta-analysis provides a mathematically accurate synthesis of available data, but there may be concern that significant studies were more likely to be published than non-significant studies, and therefore the pool of available data may be biased. The program includes a set of functions that can be used to assess the potential impact of this bias, as a kind of sensitivity analysis.

אנשים עובדים
מטא-אנליזה מקיפה

הורד גרסת ניסיון ל-10 ימים


"Comprehensive Meta‐Analysis software is like a magic wand. The simple and clear interface (like an Excel sheet) will guide you to do complicated meta‐analysis within only a few clicks. The comprehensive formats included in the software allow researchers to input the data in various ways. It provides clear outputs and high‐resolution graphs which can be imported to Microsoft Word. I especially love the feature that shows you the calculation steps so you can check whether you’ve run it correctly. It also provides advanced sub‐group analysis, moderator analysis, meta‐regression, and publication‐bias analysis. This software is a lifesaver! Meta‐analysis becomes very easy with the help of Comprehensive Meta‐Analysis. I am sure I will use this software for upcoming meta‐analyses in the future."

Jih‐Hsuan Lin (Tammy), Ph.D. Candidate - Media and Information Studies Program, Department of Telecommunication, Information Studies and Media, Michigan State University, East Lansing, MI


"I absolutely loved this program. Without it, I don't know how I would have gotten this series of metaanalyses done, let alone published (see attached). Very easy to use, many great features, and lots of support from you all (i.e., the emails about updates, training opportunities, etc.)."

Robert A. Schug, Ph.D. - Assistant Professor of Criminal Justice and Forensic Psychology, Department of Criminal Justice, California State University, Long Beach


"As a behavioral scientist who is newly developing expertise in using meta‐analysis, I have found CMA to be an invaluable tool. It is user‐friendly, but avoids superficiality and provides me with all the necessary technical depth I need. I have found CMA to be an outstanding program."

ג'יימס מקילופ


"CMA has been a huge asset in my research on motivation and self‐regulation. I have used this software to conduct multiple meta‐analyses, each requiring different and multiple formats of effect size. CMA surpassed my needs and expectations every time. The software is really "comprehensive" yet exceptionally user‐friendly. Fellows and students have learned to use it in just one sitting. I highly recommend CMA to any researcher wishing to conduct meta‐analysis in a highly effective and efficient manner."

Patrick Gaudreau, Ph.D. - Professeur agrégé/Associate Professor Université d'Ottawa/University of Ottawa École de Psychologie/School of Psychology Ottawa, ON, Canada


"I am an advanced graduate student in clinical psychology, and CMA software was integrated into a meta‐analysis course I recently took. I feel very fortunate to have been trained in meta‐analyses at a time when we have this software because CMA is easy and, I dare say, fun to use. Rather than spending countless hours computing my own effect sizes and creating syntax, the program did it for me, which allowed me to spend my time really looking at the data, both graphically and numerically. I bought CMA for myself and would recommend it to anyone looking to learn the art of meta‐analysis."

רחל הרשנברג


"I am impressed with the ease or simplicity of the Comprehensive Meta‐Analysis, not only in data entry but also the data generated. Unlike some of the free software available for meta‐analysis, I found the Comprehensive Meta‐Analysis user‐friendly, generating clear graphs and effect sizes. I took a long time to work out some of the free software available by some of my colleagues and found them very userunfriendly, confusing, and the graphs generated not easy on the eye. After chancing on Comprehensive Meta‐Analysis during a Google search and having a go at it during the free trial, I was keen to get my hands on it and have recommended it to some of colleagues. It is definitely worth getting it as it makes meta‐analysis non‐daunting and non‐scary especially for students pursuing their Masters or PhDs."

לי ווי סינדי, NG


"CMA has been the vehicle to get me started with my PhD! A meta‐analysis is the optimal starting point, as it allows you to clearly see the state‐of‐the‐art in your field and pose new questions. CMA, with its self‐explanatory, user‐friendly platform is the kind of software you would hope to be using for your meta‐analyses! Now my students are starting off their journeys in research by performing a metaanalysis using CMA!"

Dr. Papadatou‐Pastou Marietta - Lecturer, University of Athens

הצטרף לניוזלטר הדואר האלקטרוני שלנו

נדרש דואר אלקטרוני חוקי.
למד על מטה-אנליזה, סדנאות ותכונות תוכנה חדשות, וקבל כלים מיוחדים שיעזרו לך עם המחקר שלך.

מטא-אנליזה מקיפה

תמונת תוכנה

מטא-אנליזה מקיפה (CMA) היא תוכנת מחשב רבת עוצמה למטא-אנליזה. התוכנית משלבת קלות שימוש עם מגוון רחב של אפשרויות חישוביות וגרפיקה מתוחכמת.