Araştırma Makalesi
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Farklı Eşleştirilmiş Durum-Kontrol Düzenleri ile Koşullu Lojistik Regresyon Modellerinin Karşılaştırılması: Avrupa Birliği Örneği

Yıl 2011, Cilt: 8 Sayı: 1, 1 - 12, 15.07.2011

Öz

Çalışmada, farklı eşleştirilmiş durum-kontrol düzenleri oluşturularak Avrupa Birliği (AB) üyeliğini etkileyen faktörlerin koşullu lojistik regresyon modelleri ile belirlenmesi ve bu modellerin karşılaştırılması amaçlanmıştır. Bu nedenle, AB veritabanındaki 2009 yılı verileri kullanılarak (1:1), (1:m) ve (n:m) eşleştirilmiş durum-kontrol düzenleri oluşturulmuş ve elde edilen koşullu lojistik modelleri karşılaştırılmıştır. En iyi modele dayanarak AB'ye aday ülkeler için üye olma olasılıkları tahmin edilmiştir. Elde edilen bulgulara göre, bir ülkenin cari hesap dengesinin AB'ye üyelik üzerinde etkili olduğu, Türkiye, Hırvatistan ve Makedonya'nın üyelik sürelerinin sekiz yıldan daha uzun olacağı öngörülmüştür.

Kaynakça

  • Archick, K., Kim, J., 2008. European Union Enlargement. CRS Report for Congress, 1-6.
  • Chau, N., Mur, J. M., Benamghar, L., Dangelzer, J. L., Français, M., Jacquin, R., Sourdot, A, 2004. Relationships between certain individual characteristics and occupational injuries for various jobs in the construction industry: A case control study, American Journal of Industrial Medicine, 45, 84 - 92.
  • Cox, D. R, 1970. Analysis of Binary Data, Chapman and Hall, London. European Commission, Croatia 2009. Progress Report, Enlargement Strategy and Main Challenges 2009-2010, 1-69.
  • European Commission. The Former Yugoslav Republic of Macedonia 2009 Progress Report, Enlargernent Strategy and Main Challenges 2009-2010, 1-69.
  • European Commission, Turkey 2009. Progress Report, Enlargement Strategy and Main Challenges 2009-2010, 1-82.
  • Eurostat, 2009. Statistical Data, http://epp.eurostat.cec.eu.int
  • Hirji, K., 2006. Exact Analysis of Discrete Data. Chapman & Hall/CRC, Boca Raton.
  • Hughes, T. L., Howard, M. J., Henry, D., 2002. Nurses' use of alcohol and other drugs: Findings from a national probability sample, Substance Use and Misuse, 37, 11, 423 - 1440.
  • Li, X., Xiaoyan S, Gray, R, 2004. Comparison of the Missing-Indicator Method and Conditional Logistic Regression in l:m Matched Case-Control Studies with Missing Exposure Values. American Journal of Epidemiology, no. 159,6: 603-610.
  • Mandrekar, J., Mandrekar, S. J., 2003. An introduction to matching and its applications using SAS, SUGI report, Mayo Clinic, Rochester, MN, 208 - 229.
  • McFadden, D., 1968. Technical Change, Substitutionability, and Returns to Scale in Electricity Generation, Part I: A Theoretical Model, Working Paper.
  • Pfeiffer, R.M., Gail, M. H., 2001. Inference for covariates that accounts for ascertainment and random genetic effects in family studies, Biometrika, 88, 933-948.
  • Stein, J., Ahmed, A. 2007. The European Union as a model of international cooperation in science, technology and sustainable development, The British Journal of Politics & International Relations, no. 9, 4: 654-669.
  • Taşpınar, D., Tatlıdil, H., 2003. Türkiye'nin AT ve diğer Avrupa ülkeleri ile beşeri kalkınma yönünden karşılaştırılması, Türkiye Kalkınma Bankası AŞ., Sanayi Yıllığı, Ankara.
  • Tester, J. M., Rutherford, G. W., Wald, Z., Rutherford, M. W., 2004. A matched case control study evaluating the effectiveness of speed humps in reducing child pedestrian injuries, Arn. J. Public Health, 94, 646-650.
  • UNDP, 2009. Human Development Report 2009.
  • Xiang, A.H., LangholZ B., 2003, Robust variance estimation for rate ratio parameter estimates from individually matched case-control data, Biometrika, 90, 741-746.
  • Vierkant, R. A., Therneau, T. M., Kosanke J. L., Naessens, J. M., 2005, A SAS macro to analyze data from a matched or finely stratified case-control design, SUGI report, paper 285, Mayo Clinic, Rochester, MN.
  • WorldBank. 2009. World Development Indicators. Washington, D.C.: World Bank. http://www.worldbank.org/data/wdi2009/index.htm.

Comparison of Different Matched Case-Control Designs With Conditional Logistic Regression Models: European Union Example

Yıl 2011, Cilt: 8 Sayı: 1, 1 - 12, 15.07.2011

Öz

In this study, investigation of the factors effecting EU membership by using conditional logistic regression analysis with different matched case-control designs and comparison of these models are aimed. For this reason, (1:1), (1:m) and (n:m) matching designs are constructed by using data in year 2009 in the EU database and the conditional logistic models are compared. Based on the best model, the probabilities of being membership are predicted. According to findings, it is seen that the balance of current account is effective on the EU membership and the membership periods of Turkey, Croatia and Macedonia will be more than eight years.

Kaynakça

  • Archick, K., Kim, J., 2008. European Union Enlargement. CRS Report for Congress, 1-6.
  • Chau, N., Mur, J. M., Benamghar, L., Dangelzer, J. L., Français, M., Jacquin, R., Sourdot, A, 2004. Relationships between certain individual characteristics and occupational injuries for various jobs in the construction industry: A case control study, American Journal of Industrial Medicine, 45, 84 - 92.
  • Cox, D. R, 1970. Analysis of Binary Data, Chapman and Hall, London. European Commission, Croatia 2009. Progress Report, Enlargement Strategy and Main Challenges 2009-2010, 1-69.
  • European Commission. The Former Yugoslav Republic of Macedonia 2009 Progress Report, Enlargernent Strategy and Main Challenges 2009-2010, 1-69.
  • European Commission, Turkey 2009. Progress Report, Enlargement Strategy and Main Challenges 2009-2010, 1-82.
  • Eurostat, 2009. Statistical Data, http://epp.eurostat.cec.eu.int
  • Hirji, K., 2006. Exact Analysis of Discrete Data. Chapman & Hall/CRC, Boca Raton.
  • Hughes, T. L., Howard, M. J., Henry, D., 2002. Nurses' use of alcohol and other drugs: Findings from a national probability sample, Substance Use and Misuse, 37, 11, 423 - 1440.
  • Li, X., Xiaoyan S, Gray, R, 2004. Comparison of the Missing-Indicator Method and Conditional Logistic Regression in l:m Matched Case-Control Studies with Missing Exposure Values. American Journal of Epidemiology, no. 159,6: 603-610.
  • Mandrekar, J., Mandrekar, S. J., 2003. An introduction to matching and its applications using SAS, SUGI report, Mayo Clinic, Rochester, MN, 208 - 229.
  • McFadden, D., 1968. Technical Change, Substitutionability, and Returns to Scale in Electricity Generation, Part I: A Theoretical Model, Working Paper.
  • Pfeiffer, R.M., Gail, M. H., 2001. Inference for covariates that accounts for ascertainment and random genetic effects in family studies, Biometrika, 88, 933-948.
  • Stein, J., Ahmed, A. 2007. The European Union as a model of international cooperation in science, technology and sustainable development, The British Journal of Politics & International Relations, no. 9, 4: 654-669.
  • Taşpınar, D., Tatlıdil, H., 2003. Türkiye'nin AT ve diğer Avrupa ülkeleri ile beşeri kalkınma yönünden karşılaştırılması, Türkiye Kalkınma Bankası AŞ., Sanayi Yıllığı, Ankara.
  • Tester, J. M., Rutherford, G. W., Wald, Z., Rutherford, M. W., 2004. A matched case control study evaluating the effectiveness of speed humps in reducing child pedestrian injuries, Arn. J. Public Health, 94, 646-650.
  • UNDP, 2009. Human Development Report 2009.
  • Xiang, A.H., LangholZ B., 2003, Robust variance estimation for rate ratio parameter estimates from individually matched case-control data, Biometrika, 90, 741-746.
  • Vierkant, R. A., Therneau, T. M., Kosanke J. L., Naessens, J. M., 2005, A SAS macro to analyze data from a matched or finely stratified case-control design, SUGI report, paper 285, Mayo Clinic, Rochester, MN.
  • WorldBank. 2009. World Development Indicators. Washington, D.C.: World Bank. http://www.worldbank.org/data/wdi2009/index.htm.
Toplam 19 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İstatistik
Bölüm Araştırma Makaleleri
Yazarlar

Yüksel Akay Unvan Bu kişi benim

Gamze Özel Bu kişi benim

Yayımlanma Tarihi 15 Temmuz 2011
Yayımlandığı Sayı Yıl 2011 Cilt: 8 Sayı: 1

Kaynak Göster

APA Unvan, Y. A., & Özel, G. (2011). Farklı Eşleştirilmiş Durum-Kontrol Düzenleri ile Koşullu Lojistik Regresyon Modellerinin Karşılaştırılması: Avrupa Birliği Örneği. İstatistik Araştırma Dergisi, 8(1), 1-12.