STATS  OF  THE  ART

Comprehensive Statistics Services

for Your ART / IVF / Embryology Data by an Embryologist

With Track Record of Expertise in Statistics

TO Reveal Your Potentially Higher Success Rates

FOR Performance Review of Staff

FOR Quality Control / Quality Assurance

FOR Research / Publications / Abstracts / Presentations

CLICK HERE for OUR LATEST RESEARCH published in December 2017 issue of Reproductive Biomedicine Online journal, analyzing CDC / NASS data on 488,351 ART / IVF cycles from 2010-2014.

For ALL Statistics Needs of Your "state-of-the-art" ART Program

   Email: stats@stats-of-the-art.com / Fax: 1.954.272.7814

Home About Us Sample Stats Services Free Analysis Instructions Privacy Fees Our Research

Welcome to STATS OF THE ARTCLICK HERE FOR COMPLIMENTARY STATISTICAL ANALYSES OF YOUR DATA


Home
About Us
Sample Stats
Services
Free Analysis
Instructions
Privacy
Fees
Our Research

Welcome to STATS OF THE ART

CLICK HERE for OUR LATEST RESEARCH published in December 2017 issue of Reproductive Biomedicine Online journal, analyzing CDC / NASS data on 488,351 ART / IVF cycles from 2010-2014.

Let STATS OF THE ART take care of STATS of your ART program, so you can better focus on the "success rate" of your "state-of-the-art" ART program.

We provide Professional & Comprehensive Statistics Services for your ART / IVF / Embryology Data, by Dr. Yavas (Ph.D. / HCLD) who is BOTH an "embryologist" and a "statistical consultant" (with track record of expertise in both), as well as a "researcher," a "publisher" of scientific articles, and a "reviewer" for scientific journals (SEE DETAILS HERE).

We provide statistics services to REVEAL YOUR POTENTIALLY HIGHER SUCCESS RATES for marketing / advertising purpose.

We provide statistics services also to DETECT "TRUE" MEANS of success rates (and other data) of factors, such as embryologists, catheters, physicians, or any other factor, and thus to DETECT "TRUE" DIFFERENCES among them (for performance review purpose), by analyzing your entire data in an advanced, SINGLE STATISTICAL MODEL, statistically correcting (adjusting) the arithmetic means for ALL factors (AS OPPOSED TO simple calculations and simple statistical comparisons of "untrue arithmetic means" and AS OPPOSED TO having your data analyzed by your own embryologists who have limited knowledge of statistics and/or limited time) (SEE DETAILS BELOW).

We provide statistics services also for PURPOSES OF QUALITY CONTROL / QUALITY ASSURANCE, as well as for RESEARCH, PUBLICATIONS, ABSTRACTS and PRESENTATIONS.

When we say, "we provide statistics services," we mean "STATISTICS IN THE TRUE SENSE." We do NOT mean just calculating and tabulating "arithmetic means" for visual comparison (which some people mistakenly call "statistics"). We do NOT EVEN mean just comparing those "arithmetic means" by simple statistical tests one factor at a time, as "arithmetic means" are STILL NOT "true means," EVEN IF compared by simple statistical tests.

Most IVF / ART centers only, and simply, calculate / tabulate / monitor their outcome rates (arithmetic means) (such as pregnancy and live birth rates; either over all, or within factors such as embryologists, catheters, etc.); and they visually compare those "arithmetic means," which they mistakenly call “statistics” or “stats.” THIS IS NOT “statistics,” because "statistics" means not only calculating those "arithmetic means" of such factors but also, and most importantly, CORRECTING (adjusting) those "arithmetic means" for ALL the factors involved as well as DETECTING the degrees of differences with “P values” within and among corrected (adjusted) "true means" of such factors.

SEE HERE FOR AN EXAMPLE of how pregnancy data (of embryologists and catheters) change after analyzing the entire data in a SINGLE STATISTICAL MODEL / ANALYSIS / TEST, by simultaneously CORRECTING (ADJUSTING) for the effects of BOTH FACTORS as well as for the effects of PATIENT'S AGE.

INTERNATIONAL REQUESTS ARE WELCOME.


PLEASE CLICK ON THE LINKS BELOW to go directly to those specific topics found on this page; OR, alternatively, you can also scroll down this page at your own pace.


WHO WE ARE

We provide Professional & Comprehensive Statistics Services for your ART / IVF / Embryology Data (including pregnancy and live birth rates):

  1. By Dr. Yavas WHO IS BOTH an "EMBRYOLOGIST" and a "STATISTICAL CONSULTANT" (with track record of expertise in both) -- more specifically, who is:

  1. To REVEAL your potentially HIGHER SUCCESS RATES (for marketing / advertising purpose, while you still remain perfectly compliant with SART’s advertising guidelines) (SEE DETAILS BELOW).

  2. To DETECT "TRUE" MEANS of success rates (and other data) of factors, such as embryologists, catheters, and any other factor (as opposed to simple "arithmetic means"), by ANALYZING your ENTIRE DATA in a SINGLE STATISTICAL MODEL / ANALYSIS / TEST (as it should be with any statistical analysis), WHICH TAKES INTO ACCOUNT ALL the simultaneous FACTORS involved, THEREBY statistically CORRECTING (ADJUSTING) the arithmetic means within each factor for ALL the other FACTORS involved (for performance review purpose) (SEE DETAILS BELOW) (SEE AN EXAMPLE of Statistical Analysis HERE).

  3. To DETECT TRUE DIFFERENCES among those corrected / adjusted "true" means of embryologists, catheters, and other factors (AS OPPOSED TO simply comparing "arithmetic means," even by simple statistical tests) (for performance review purpose) (SEE DETAILS BELOW) (SEE AN EXAMPLE of Statistical Analysis HERE).

  4. FOR QUALITY CONTROL / QUALITY ASSURANCE.

  5. FOR RESEARCH / PUBLICATIONS / ABSTRACTS / PRESENTATIONS.


WHY STATS OF THE ART ?

Your ART / IVF success rates (such as pregnancy and live birth rates) are the results of many factors that are at work simultaneously, each of which may affect your outcomes differently; those factors being embryologists, catheters, day of embryo transfer (Day 3 vs. Day 5), ease of transfer, type of embryo transfer catheter, type of fertilization (insemination vs. ICSI), type of culture media, patient's age, and many more.

Therefore, the "arithmetic means" (and so the "differences" among those "arithmetic means") that you are looking at (e.g., Embryologists 1 vs. 2; Catheters 1 vs. 2, etc.) are NOT "true means" (and so NOT "true differences"). That is so EVEN IF you calculate and compare those "arithmetic means" by simple statistical tests, UNLESS you analyze the effects of ALL the factors at the same time in a COMPLEX and SINGLE STATISTICAL MODEL / ANALYSIS / TEST (not separately), i.e., UNLESS you take into account the effects of ALL the factors, by correcting (adjusting) those "arithmetic means" for the effects of ALL the factors. This NECESSITATES the use of comprehensive / advanced statistical tests as well as advanced knowledge, skills and expertise both in embryology and statistics, AS DESCRIBED BELOW.

Regardless of your purpose (be it for staff performance review, quality assurance, or research), are you STILL calculating "arithmetic means" for levels within those factors (e.g., Embryologists 1 vs. 2; Catheters 1 vs. 2; etc.), and compare those "arithmetic means" visually to detect any differences that may exist among them ?

Or have you taken it one step further to compare those "arithmetic means" not visually but statistically (while still dealing with "arithmetic means," and not with "true means")?

One option is to run simple statistical tests, such as "Chi-Square" or "T-Test." However, those tests ONLY work to compare TWO sets of data at a time (two levels of ONE factor), e.g., for two embryologists or for two catheters. So if you have, for example, more than two embryologists, you have to repeat those tests multiple times for each pair of embryologists (i.e., for each pair of levels within each factor). So if you have, for example, three embryologists, you have to repeat those tests to compare Embryologists 1 vs. 2; then for Embryologists 1 vs. 3; and then for Embryologists 2 vs. 3. The same holds true for other factors. If you have, for example, three catheters, you have to repeat those tests to compare Catheters 1 vs. 2; then for Catheters 1 vs. 3; and then Catheters 2 vs. 3.

You may get around this, and be able to calculate ALL those "arithmetic means" of ALL embryologists (or of ALL catheters) by running a single statistical test (a more complex test called "Analysis of Variance, or ANOVA"). However, those simple tests still have to be run and repeated multiple times between each pair of levels of the factor(s) to detect differences among them, i.e., to compare Embryologists 1 vs. 2, Embryologists 1 vs. 3, and Embryologists 2 vs. 3. Furthermore, like those simple statistical tests discussed above ("Chi-Square" and "T-Test"), the more complex ANOVA test also works for levels of ONLY ONE factor at a time (such as for "embryologist" factor, or for "catheter" factor at a time), and hence it is called "One-Way ANOVA." Therefore, you will have to repeat "One-Way ANOVA" test multiple times for each factor separately (i.e., first for embryologists, then for catheters, and so on).

However, EVEN IF you calculate and compare those "arithmetic means" by simple statistical tests (such as "Chi-Square" or T-Test") and/or by more complex "One-Way ANOVA" test, it is highly likely that those embryologists' "arithmetic means" are affected differently by different catheters. Likewise, it is highly likely that those catheters' "arithmetic means" are affected differently by different embryologists.

Therefore, the "arithmetic means" (and so the "differences" among those "arithmetic means") (whether determined by simple statistical tests or by "One-Way ANOVA") are NOT "true means" (and so NOT "true statistical differences"), because you have analyzed the effect of only one factor at a time, and so you have NOT taken into account the effects of ALL the other factors that simultaneously affect the "arithmetic means." In other words, you have NOT corrected (adjusted) those "arithmetic means" for the effects of ALL the other factors that simultaneously affect the outcome means.

Therefore, the "arithmetic means" (and so the "differences" among those "arithmetic means") (whether determined by simple statistical tests or by "One-Way ANOVA") are NOT "true means" (and so NOT "true differences"), UNLESS you analyze the effects of ALL the factors at the same time in a SINGLE STATISTICAL MODEL / ANALYSIS / TEST (not separately), i.e., UNLESS you take into account the effects of ALL the factors, by correcting (adjusting) those "arithmetic means" for the effects of ALL the factors.

Therefore, in order to calculate the "true means" as well as to detect the "true differences" among those "true means," you need to analyze the effects of ALL the factors at the same time in a SINGLE STATISTICAL MODEL / ANALYSIS / TEST (not separately), i.e., you need to take into account the effects of ALL the factors, by correcting (adjusting) those "arithmetic means" for the effects of ALL the factors.

So, for example, if you want to see your "true" pregnancy outcome as affected differently by TWO FACTORS (e.g., embryologists and catheters), then you need to analyze your entire data in a single statistical model / analysis / test using "Two-Way ANOVA." Likewise, if you want to see your "true" pregnancy outcome as affected differently by THREE FACTORS (e.g., embryologist, type of embryo transfer catheter, type of culture media), then you need to analyze your entire data in a single statistical model / analysis / test using "Three-Way ANOVA." If you want to add a fourth factor (e.g., day of embryo transfer), then you will be using "Four-Way ANOVA," and so on.

You can include in the same single statistical  model / analysis / test any number of factors you wish.

Likewise, you can include any number of levels within each factor (e.g., two embryologists, three catheters, four types of culture media, etc.).

For example:

  • You can include two factors with two levels in each, and analyze them by "Two-Way Analysis of Variance"  in a "two-by-two factorial design."

  • You can include two factors with two and three levels, and analyze them by "Two-Way Analysis of Variance"  in a "two-by-three factorial design."

  • You can include three factors with two, three and four levels, and analyze them by "Three-Way Analysis of Variance"  in a "two-by-three-by-four factorial design."

If you also want to correct (adjust) the arithmetic means for (i.e., to take into account) the effects of independent continuous variables (in the same way as fixed factors), such as patient's age or estradiol levels, you can also include them in the same ANOVA test as "covariates," hence analyzing the entire data by "Analysis of Covariance, or ANCOVA."

In order to determine the "true means" and the "true differences," you can (and you should) include in the same single statistical model / analysis / test as many important factors and covariates as possible.

Obviously, all the above NECESSITATES the use of complex and comprehensive statistical tests as well as advanced knowledge, skills and expertise both in embryology and statistics, which is what the STATS OF THE ART is here to help you with.

SEE HERE FOR AN EXAMPLE of how pregnancy data (of embryologists and catheters) change after analyzing the entire data in a SINGLE STATISTICAL MODEL / ANALYSIS / TEST, by simultaneously CORRECTING (ADJUSTING) for the effects of BOTH FACTORS as well as for the effects of PATIENT'S AGE.


WHAT STATS OF THE ART IS FOR

STATS OF THE ART is your one-stop place for COMPREHENSIVE STATISTICS needs of your “state-of-the-art” ART / IVF Center.

STATS OF THE ART is the place, where you can have your ART / IVF / EMBRYOLOGY DATA comprehensively ANALYZED by a person who is BOTH “EMBRYOLOGIST” and “STATISTICAL CONSULTANT,” i.e., WELL-VERSED in both EMBRYOLOGY and STATISTICS (with advanced knowledge, skills and EXPERTISE IN STATISTICS) (SEE HERE for Dr. Yavas' track record of expertise in both embryology and statistics).

ART / IVF outcomes (data) are the RESULTS of MANY FACTORS that are at work simultaneously, SUCH AS embryologist, catheter, patient's age, cause of infertility, length of infertility, etc.; and the outcomes usually differ among those factors.

Therefore, simply having your "arithmetic means" calculated, SEPARATELY within each factor at a time, by your embryologists (and in their spare times; which is, by the way, mistakenly called “statistics”) only yields "UNTRUE (uncorrected) MEANS," as it does NOT take into account the simultaneous effects of ALL the other factors involved.

For example, if you are simply calculating and comparing pregnancy rates among different embryologists, you are NOT taking into account the effect of different catheters, i.e., you are NOT correcting (adjusting) each embryologist's pregnancy rate for the "catheter effect." AS A RESULT, you are NOT detecting the "TRUE" pregnancy rates of your embryologists.

Likewise, if you are simply calculating and comparing pregnancy rates among different catheters, you are NOT taking into account the effect of different embryologists, i.e., you are NOT correcting (adjusting) each catheter's pregnancy rate for the "embryologist effect." AS A RESULT, you are NOT detecting the "TRUE" pregnancy rates of your catheters.

Making the situation even more complicated, not only different embryologists and catheters are involved in MULTIPLE STEPS of ART / IVF treatment but also MANY MORE FACTORS listed above are involved in determining the ART / IVF outcomes.

For all those reasons, again, simply having your "arithmetic means" calculated, SEPARATELY within each factor at a time, by your embryologists only yields "UNTRUE (uncorrected) MEANS," as it does NOT take into account the simultaneous effects of ALL the other factors involved.

IN CONTRAST to the above, STATS OF THE ART allows you:

  1. TO DETECT the "TRUE" MEANS of your success rates (such as pregnancy, live birth, fertilization, etc.) due to specific factors (such as embryologists, catheters, patient's age, and any other factor you may think of), AS OPPOSED TO simply calculating "arithmetic means" and

  2. DETECT the "TRUE" DIFFERENCES among those "true means" of factors, AS OPPOSED TO simply comparing "arithmetic means" (even by simple statistical tests) that is still "NOT meaningful" but "misleading."

STATS OF THE ART accomplishes the above by ANALYZING your ENTIRE DATA in a SINGLE STATISTICAL MODEL / ANALYSIS / TEST (as it should be with statistical analysis of any data), which TAKES INTO ACCOUNT ALL THE SIMULTANEOUS FACTORS INVOLVED, i.e., which statistically CORRECTS (ADJUSTS) the mean of each factor FOR ALL THE OTHER FACTORS INVOLVED.

Accordingly, the above REQUIRES advanced knowledge, skills and expertise in statistics as well as the use of advanced statistics / computer programs, which STATS OF THE ART offers in a professional manner.

Dr. Yavas at STATS OF THE ART, in addition to being a researcher, is well-versed both in STATISTICS & EMBRYOLOGY, with proven track record of knowledge, skills and expertise in statistics to perform the above-described comprehensive / advanced statistical analyses / tests on your data (SEE HERE for Dr. Yavas' track record of expertise in statistics, embryology and research).


WHY and HOW You Should Detect TRUE Differences Among Embryologists, Catheters, and Other Factors at Your Practice, and WHY This is Critical

Most IVF / ART centers only, and simply, calculate / tabulate / monitor their outcome rates (such as pregnancy, live birth, fertilization rates, etc., either over all, or within factors such as embryologists, catheters, etc.); and then they visually compare those means; and they mistakenly call this “statistics” or “stats.” THIS IS NOT “statistics,” because statistics means not only calculating those outcome means of such factors but also, and most importantly:

  1. CORRECTING (adjusting) the means of such factors for other factors, and then

  2. DETECTING the degree of differences with “P values” among those corrected (adjusted) means of such factors, which will be discussed later in greater detail.

FOR EXAMPLE, a mere mean pregnancy rate of a given embryologist is NOT his/her TRUE mean pregnancy rate, UNLESS it is statistically corrected / adjusted for the effect of the catheter (and other factors) involved. The same is true for a given catheter, i.e., a mere mean pregnancy rate of a given catheter is NOT his/her TRUE mean pregnancy rate, UNLESS it is statistically corrected / adjusted for the effect of the embryologist (and other factors) involved.

To make the matter even more complicated, some factors are involved NOT only in one single step (such as embryo transfer) during the course of IVF treatment of a patient but in several steps. For example, different embryologists are involved in many & different steps, such as egg retrieval, ICSI / insemination, embryo transfer, embryo freeze, embryo thaw, etc. So it is not only about which embryologist was involved but also which embryologist was involved in which steps along the way.

To make the matter even more complicated, embryologists and catheters are NOT the only factors that determine the pregnancy rate outcome of your practice. Other such factors include patient's age, cause of infertility, length of infertility, type of gonadotropins used for stimulation, type of culture media, ease of embryo transfer, type of incubator, etc.

All of the above present different scenarios of multiple independent factors that may ALL affect the success rates differently from one another, which necessitates the use of comprehensive / advanced statistical models / analyses / tests TO DETECT the TRUE MEANS of those factors involved as well as TO DETECT the TRUE DIFFERENCES among those factors.

SEE HERE FOR AN EXAMPLE of how pregnancy data (of embryologists and catheters) change after analyzing the entire data in a SINGLE STATISTICAL MODEL / ANALYSIS / TEST, by simultaneously CORRECTING (ADJUSTING) for the effects of BOTH FACTORS as well as for the effects of PATIENT'S AGE.


WHY You Should Take Advantage of STATS OF THE ART to Achieve all the Above-Listed Goals (and many more, such as for research / publication / abstract purposes)

Dr. Yavas at STATS OF THE ART is BOTH an “EMBRYOLOGIST” and a “STATISTICAL CONSULTANT,” with proven knowledge, skills and expertise in BOTH "EMBRYOLOGY" and "STATISTICS" (SEE HERE for Dr. Yavas' track record of expertise in both embryology and statistics).

Embryologists are normally hired for “embryology” laboratory work. As such, they have either LIMITED, MINIMAL, or NO knowledge, skills and expertise in statistics, if any, to perform those comprehensive / advanced statistical analyses / tests on your data described above.

Even if they had any knowledge, skills and expertise in statistics, then they have LIMITED TIME to do those statistics, as they are already and extremely busy with their embryology work, often including some (or most) weekends.

HIRING PROFESSIONAL STATISTICS COMPANIES (i.e., other than STATS OF THE ART) brings its own disadvantages, such as paying “astronomical fees,” and “slow turnaround time,” as they have no knowledge of embryology / IVF / ART, and you have to explain to them what your data are about and what you want to see. As this will take more of their time, on top of their actual time for data analyses, you will end up paying EVEN HIGHER FEES for their extra time.

WHAT IF you could HIRE an experienced "EMBRYOLOGIST" with EXPERTISE in STATISTICS (not to do embryology work but exclusively to do “statistics work” of your data – A Ph.D. / HCLD embryologist who has almost 20 years of experience as embryologist as well as who has proven knowledge, skills and expertise in statistics to perform comprehensive / advanced statistical analyses / tests on your data?

Dr. Yavas at STATS OF THE ART has ALL the qualifications listed above, with a strong background both in statistics and embryology, with proven track record of knowledge, skills and expertise in statistics to perform comprehensive / advanced statistical analyses / tests on your data (SEE HERE for Dr. Yavas’ track record of expertise in statistics):

  1. Dr. Yavas is a Ph.D. / HCLD embryologist (and andrologist) with almost 20 years of experience as embryologist and IVF Laboratory Director, and so he is well-versed in all ALL of embryology (and andrology) (SEE HERE for more information about Dr. Yavas).

  2. Dr. Yavas TOOK, and PASSED with excellent grades, THREE STATISTICS COURSES during his graduate studies (SEE HERE for Dr. Yavas’ transcripts). He then developed an affinity for statistics over the years, and has never lost touch with his understanding of statistics.

  3. As a result, and during his career as HCLD Laboratory Director / embryologist, Dr. Yavas has DESIGNED, PERFORMED and PUBLISHED many RESEARCH STUDIES (some single-handedly in their entirety) in the field of IVF / ART (SEE HERE for Dr. Yavas’ published research articles).

  4. Dr. Yavas has single-handedly PERFORMED ALL the STATISTICAL ANALYSES in ALL of his published research articles (SEE HERE for Dr. Yavas’ published research articles).

  5. As a result, Dr. Yavas has been often INVITED to serve as “REVIEWER” for several scientific journals, making recommendations to authors regarding statistical analyses of their data in their submitted manuscripts. Those scientific journals inviting him to serve as “reviewer” include Fertility and SterilityJournal of Assisted Reproduction and GeneticsJournal of Experimental & Clinical Assisted Reproduction, Archives of Gynecology and Obstetrics, and Advances In Reproductive Sciences.

(SEE HERE FOR DETAILS & for some examples of letters from those journals’ editors inviting Dr. Yavas to review manuscripts submitted by other authors).

By having ALL your statistics needs met by STATS OF THE ART, you will eliminate ALL the disadvantages with hiring costly professional statistics companies. Particularly since, unlike those professional statistics companies unfamiliar with your IVF / ART practice, Dr. Yavas is already well-versed in ALL aspects of embryology, you do not need to explain to him in great detail about your needs for your statistics projects. He already knows most, if not all, of what you want to know. This means “fast turnaround time.”

Gaikwad S, Garrido N, Cobo A, Pellicer A, Remohi J. Bed rest after embryo transfer negatively affects in vitro fertilization: a randomized controlled clinical trial. Fertil Steril. 2013 Sep;100(3):729-35. Epub 2013 Jun 10 (PRINT VERSION).

 

 


Home About Us Sample Stats Services Free Analysis Instructions Privacy Fees Our Research


This website is designed and maintained by Yalcin Yavas, Ph.D.
Send email to stats@stats-of-the-art.com with questions or comments about this website.
COPYRIGHT © 2016-2018 STATS OF THE ART / Yalcin Yavas, Ph.D. - ALL RIGHTS RESERVED.
Last modified: January 29, 2018