Modelling and Exact Testing for A (4 × 4) Cross-Over Trial with Binary Data
Authors:
Article info
2017-05-29
2018-12-06
57 - 80
Keywords
- Model;
- Binary
- trial;
- Association;
- StatXact.
- Log-Linear
- Hypothesis
- data;
- Testing;
- LogXact;
- Cross-over
Abstract
A method of analyzing binary data from a four-treatment, four-period cross-over trial is described. This method is based on a log-linear model, and on computing exact tests using different techniques proposed by StatXact and LogXact. Here we deal with the problem of establishing therapeutic equivalence of four treatments. This method is illustrated using an example of unstructured binary data (Williams Design) where responses are recorded for the selected order of treatments.
Abualsalqan, A. (2019). Modelling and Exact Testing for A (4 × 4) Cross-Over Trial with Binary Data. An-Najah University Journal for Research - A (Natural Sciences), 33(1), 57–80. https://doi.org/10.35552/anujr.a.33.1.1615
[1]A. Abualsalqan, “Modelling and Exact Testing for A (4 × 4) Cross-Over Trial with Binary Data,” An-Najah University Journal for Research - A (Natural Sciences), vol. 33, no. 1, pp. 57–80, Feb. 2019, doi: 10.35552/anujr.a.33.1.1615.
Abualsalqan, Adnan. “Modelling and Exact Testing for A (4 × 4) Cross-Over Trial with Binary Data.” An-Najah University Journal for Research - A (Natural Sciences), vol. 33, no. 1, Feb. 2019, pp. 57–80. Crossref, https://doi.org/10.35552/anujr.a.33.1.1615.
1.Abualsalqan A. Modelling and Exact Testing for A (4 × 4) Cross-Over Trial with Binary Data. An-Najah University Journal for Research - A (Natural Sciences) [Internet]. 2019 Feb;33(1):57–80. Available from: http://dx.doi.org/10.35552/anujr.a.33.1.1615
Abualsalqan, Adnan. “Modelling and Exact Testing for A (4 × 4) Cross-Over Trial with Binary Data.” An-Najah University Journal for Research - A (Natural Sciences) 33, no. 1 (February 2019): 57–80. https://doi.org/10.35552/anujr.a.33.1.1615.
نمذجة (انشاء نموذج) واجراء اختبارات دقيقة (غير تقريبية) لتجربة تلقي متواليات علاجية (تبادلية) رباعية ( 4× 4) تحتوي على بيانات ثنائية
المؤلفون:
معلومات المقال
2017-05-29
2018-12-06
57 - 80
الكلمات الإفتتاحية
- Model;
- Binary
- trial;
- Association;
- StatXact.
- Log-Linear
- Hypothesis
- data;
- Testing;
- LogXact;
- Cross-over
الملخص
وصف لطريقة رياضية لتحليل بيانات ثنائية ماخوذة من تجربة تلقي متواليات علاجية (تبادلية) من فئة اربع علاجات (ادوية او جرعات) معطاة على اربع فترات. الطريقة الموصوفة هنا اسست على نموذج لوغارتمي- خطي، حيث اتيح اجراء اختبارات (احصائية) دقيقة (غير تقريبية) باستخدام عدة طرائق مقترحة ومستخدمة عبر رزمتين (احصائيتين) حديثتين LogXact وStatXact. وفي هذه المخطوطة فاننا نعالج مسالة تحقيق التعادل (التكافؤ) العلاجي لاربع علاجات (ادوية). وقد تم تجلية هذه الطريقة الموصوفة بالاستعانة بمثال من بيانات ثنائية غير منظمة (تصميم وليامز). حيث تسجل الاستجابات (للعلاج) لكل من الترتيب المختار للدواء (او الجرعة الدوائية).
Abualsalqan, A. (2019). Modelling and Exact Testing for A (4 × 4) Cross-Over Trial with Binary Data. An-Najah University Journal for Research - A (Natural Sciences), 33(1), 57–80. https://doi.org/10.35552/anujr.a.33.1.1615
[1]A. Abualsalqan, “Modelling and Exact Testing for A (4 × 4) Cross-Over Trial with Binary Data,” An-Najah University Journal for Research - A (Natural Sciences), vol. 33, no. 1, pp. 57–80, Feb. 2019, doi: 10.35552/anujr.a.33.1.1615.
Abualsalqan, Adnan. “Modelling and Exact Testing for A (4 × 4) Cross-Over Trial with Binary Data.” An-Najah University Journal for Research - A (Natural Sciences), vol. 33, no. 1, Feb. 2019, pp. 57–80. Crossref, https://doi.org/10.35552/anujr.a.33.1.1615.
1.Abualsalqan A. Modelling and Exact Testing for A (4 × 4) Cross-Over Trial with Binary Data. An-Najah University Journal for Research - A (Natural Sciences) [Internet]. 2019 Feb;33(1):57–80. Available from: http://dx.doi.org/10.35552/anujr.a.33.1.1615
Abualsalqan, Adnan. “Modelling and Exact Testing for A (4 × 4) Cross-Over Trial with Binary Data.” An-Najah University Journal for Research - A (Natural Sciences) 33, no. 1 (February 2019): 57–80. https://doi.org/10.35552/anujr.a.33.1.1615.
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