A\u015fa\u011f\u0131daki format\u0131 alan 2’ye 2’lik bir tabloda analiz ger\u00e7ekle\u015ftirirken s\u0131kl\u0131kla bir olas\u0131l\u0131k oran\u0131 hesaplar\u0131z:<\/span> <\/p>\n SAS’ta bir olas\u0131l\u0131k oran\u0131 hesaplamak i\u00e7in PROC FREQ<\/strong> ifadesini kullanabiliriz.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek bu ifadenin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n Diyelim ki 50 basketbolcu yeni bir antrenman program\u0131 kullan\u0131yor ve 50 oyuncu da eski bir antrenman program\u0131n\u0131 kullan\u0131yor. Program\u0131n sonunda her oyuncuyu belirli bir beceri testini ge\u00e7ip ge\u00e7mediklerini test ediyoruz.<\/span><\/p>\n A\u015fa\u011f\u0131daki tablo, kulland\u0131klar\u0131 programa g\u00f6re ba\u015far\u0131l\u0131 olan ve ba\u015far\u0131s\u0131z olan oyuncular\u0131n say\u0131s\u0131n\u0131 g\u00f6stermektedir:<\/span> <\/p>\n Bir oyuncunun yeni program\u0131 kullanarak beceri testini ge\u00e7me \u015fans\u0131n\u0131 eski program\u0131 kullanarak kar\u015f\u0131la\u015ft\u0131rma \u015fans\u0131n\u0131 kar\u015f\u0131la\u015ft\u0131rmak i\u00e7in bir olas\u0131l\u0131k oran\u0131 hesaplamak istedi\u011fimizi varsayal\u0131m.<\/span><\/p>\n G\u00f6receli risk de\u011ferleriyle birlikte bu olas\u0131l\u0131k oran\u0131n\u0131 hesaplamak i\u00e7in SAS’ta PROC FREQ<\/strong> ile chisq<\/strong> ve relrisk<\/strong> talimatlar\u0131yla birlikte a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Sonucun ilk tablosu, kategorik de\u011fi\u015fkenlerin her kombinasyonunun s\u0131kl\u0131\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n Sonucun son tablosu bizi ilgilendiren odds oran\u0131n\u0131 g\u00f6steriyor:<\/span> <\/p>\n Oran oran\u0131 0,5994<\/strong> olarak \u00e7\u0131k\u0131yor.<\/span><\/p>\n Bunu, bir oyuncunun yeni program\u0131 kullanarak testi ge\u00e7me \u015fans\u0131n\u0131n, eski program\u0131 kullanan bir oyuncunun testi ge\u00e7me \u015fans\u0131n\u0131n yaln\u0131zca 0,5994 kat\u0131<\/strong> oldu\u011fu \u015feklinde yorumluyoruz.<\/span><\/p>\n Ba\u015fka bir deyi\u015fle, yeni program\u0131n kullan\u0131lmas\u0131yla bir oyuncunun testi ge\u00e7me \u015fans\u0131 asl\u0131nda yakla\u015f\u0131k %40,06 oran\u0131nda azal\u0131yor.<\/span><\/p>\n Olas\u0131l\u0131k oran\u0131 i\u00e7in a\u015fa\u011f\u0131daki %95 g\u00fcven aral\u0131\u011f\u0131n\u0131 olu\u015fturmak amac\u0131yla Sonu\u00e7 %95 G\u00fcven Limitleri<\/b> s\u00fctunlar\u0131ndaki de\u011ferleri de kullanabiliriz:<\/span><\/p>\n Olas\u0131l\u0131k oran\u0131 i\u00e7in %95 g\u00fcven aral\u0131\u011f\u0131: [0,2449, 1,4666]<\/strong> .<\/span><\/p>\n Yeni ve eski antrenman program\u0131 aras\u0131ndaki ger\u00e7ek odds oran\u0131n\u0131n bu aral\u0131kta yer ald\u0131\u011f\u0131ndan %95 eminiz.<\/span><\/p>\n G\u00fcven aral\u0131\u011f\u0131 odds oran\u0131 de\u011ferini 1 i\u00e7erdi\u011finden bu odds oran\u0131n\u0131n istatistiksel olarak anlaml\u0131 olmad\u0131\u011f\u0131 anlam\u0131na gelir.<\/span><\/p>\n Yani bir oyuncunun yeni program\u0131 kullanarak ba\u015far\u0131l\u0131 olma \u015fans\u0131n\u0131n eski program\u0131 kullanarak ba\u015far\u0131l\u0131 olma \u015fans\u0131ndan daha d\u00fc\u015f\u00fck oldu\u011funu oran oran\u0131ndan biliyoruz ancak bu \u015fanslar aras\u0131ndaki fark asl\u0131nda istatistiksel olarak anlaml\u0131 de\u011fil.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimler oran oranlar\u0131 hakk\u0131nda ek bilgi sa\u011flar:<\/span><\/p>\n Olas\u0131l\u0131k oran\u0131 ile g\u00f6receli risk aras\u0131ndaki fark<\/a> \u0130statistiklerde olas\u0131l\u0131k oran\u0131 bize, bir tedavi grubunda meydana gelen bir olay\u0131n olas\u0131l\u0131\u011f\u0131n\u0131n, bir kontrol grubunda meydana gelen bir olay\u0131n olas\u0131l\u0131\u011f\u0131na oran\u0131n\u0131 belirtir. A\u015fa\u011f\u0131daki format\u0131 alan 2’ye 2’lik bir tabloda analiz ger\u00e7ekle\u015ftirirken s\u0131kl\u0131kla bir olas\u0131l\u0131k oran\u0131 hesaplar\u0131z: SAS’ta bir olas\u0131l\u0131k oran\u0131 hesaplamak i\u00e7in PROC FREQ ifadesini kullanabiliriz. A\u015fa\u011f\u0131daki \u00f6rnek bu ifadenin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir. \u00d6rnek: […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-4606","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/cotesratioexcel0.png\")
<\/p>\n \u00d6rnek: SAS’ta olas\u0131l\u0131k oran\u0131n\u0131n hesaplanmas\u0131<\/strong><\/span><\/h2>\n
![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/cotes1.png\")
<\/p>\n \/*create dataset*\/\n<\/span>data<\/span> my_data;\n input<\/span> result $program $count;\n datalines<\/span> ;\nPassed New 34\nPassed Old 39\n_Failed New 16\n_Failed Old 11\n;\nrun<\/span> ;\n\/*calculate odds ratio*\/\n<\/span>proc freq<\/span> data<\/span> =my_data;\n weightcount<\/span> ;\n tables<\/span> program * result \/ chisq<\/span> relrisk<\/span> ;\nrun<\/span> ;<\/strong><\/span><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/orsas1.png\")
<\/p>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/orsas2.png\")
<\/p>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Tam K\u0131lavuz: Oran Oranlar\u0131 Nas\u0131l Raporlan\u0131r?<\/a>
Bir olas\u0131l\u0131k oran\u0131 i\u00e7in g\u00fcven aral\u0131\u011f\u0131 nas\u0131l hesaplan\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"