The aim of this present work was to examine statistical errors in published veterinary science articles. A total of 204 published articles (SCI or SCI-Exp) were used in this study. The articles were chosen from among those indexed in PubMed database between the years 2010 and 2014, inclusive. A total of 199 articles had at least one statistical error. The most frequently encountered statistical error among the articles published in journals indexed in SCI and in SCI-E was "errors in summarizing data". No statistical error was found in 2.45% (n=5) of 204 (SCI: 0.98% (1/102), SCI-E: 3.92% (4/102)) articles. To reduce and prevent statistical errors in publications, the researchers must have a basic knowledge of statistics and during the study process they must consult fi eld experts. While reviewing, the reviewers have to redirect the publications to statistical editors when needed and most importantly during the process of editing, the editors have to direct the publications to a statistics reviewer.

The aim of this study is to assess the performance of Lincoln-Petersen, Chapman and Bailey two source Capture Recapture methods. Material and Methods: The small, medium and large samples, and to compare the performance of these estimators with different sample sizes with Root Mean Squared Error (RMSE) measure. Results: From the comparimore reliable results than Chapman and Bailey methods in small sample size one and two, but and small sample two. When working with big samples are all the three estimators mentioned in Conclusion: At the conclusion part of this study we remark that, when dealing with small samples I and II Lincoln-Petersen should be considered but when no element recaptured in the second sample researchers should consider sample II Chapman and Bailey methods should be considered and when both samples are large all the methods discuss in this study can be considered.

Depending on the changing definition of disability and its classification systems in the world, the data collection criteria regarding the profile of those with disabilities in Turkey have been exposed to transformation as well. There are very few family based studies conducted with samples representing Turkey, yet there is a great need for such a scientific data. This study aimed to determine the prevalence of disabled individuals with respect to their disability types in Turkey. M Ma at te er ri ia al l a an nd d M Me et th ho od ds s: : In this study, Lincoln-Petersen, Chapman and Bailey Capture-Recapture methods were applied to estimate the population size of nuclear and extended families with at least one disabled individual and disability prevalence in Turkey. Uludag University students were regarded as sample population to represent Turkey because the students came from all regions of Turkey. To generalize the study, the students were asked to provide information about their families. R Re es su ul lt ts s: : Out of the 38.258 students, the number of nuclear family with at least one disabled individual is estimated with Bailey method is 637, with Chapman method is 649 and with Lincoln-Petersen is 833. While the number of extended family with at least one disable individual s estimated with Bailey method is 4.608, with Chapman method is 4.625 and with Lincoln-Petersen is 4.898. C Co on nc cl lu us si io on n: : When the role and importance of family in Turkish society is considered, education of people with disabilities, rehabilitation, social security status, economic living conditions and the socio-cultural living conditions, these needs can be primarily addressed by the means of family base system. In our findings the prevalence of nuclear and extended family with at least one disabled person in Turkey is estimated to be ranging from 1.67% to 2.18% and 12.04% to 12.80% respectively. K Ke ey yw wo or rd ds s: : Capture-recapture; disability prevalence; nuclear family; extended family Ö ÖZ ZE ET T A Am ma aç ç: : Dünya'daki engelli tanımında ve sınıflama sistemlerindeki değişimlere bağlı olarak Türkiye'deki engelli profili ve veri toplama kriteri de değişime maruz kalmıştır. Türkiye'yi temsil eden örneklemlerle yapılan aile temelli çalışmaların sayısı oldukça düşük olmasına rağmen bu konuyla ilgili bilimsel veriye çok ihtiyaç duyulmaktadır. Bu çalışmada engelli bireylerin Türkiye'de engellilik türlerine göre prevalansının belirlenmesi amaçlanmıştır. G Ge er re eç ç v ve e Y Yö ön nt te em ml le er r: : Bu çalışmada Türkiye'deki en az bir engelli birey bulunan çekirdek ve geniş aile anakütlesini tahmin etmek için Lincoln-Petersen, Chapman, and Bailey Yakalama-Tekrar yakalama yöntemleri uygulanmıştır. Uludağ Üniversitesi öğrencileri Türkiye'nin tüm bölgelerinden geldiği için Türkiye'yi temsil eden örneklem olarak alınmıştır. Çalışmayı genelleştirmek için öğrencilerden aileleri hakkında bilgi verilmesi istenmiştir. B Bu ul lg gu ul la ar r: : 38258 öğrenciden en az bir engelli birey bulunan çekirdek aile sayı...