Handling Missing Data in the Association Marginal Model through Longitudinal Data Analysis: A Simulation Study
| المصدر: | مجلة كلية التجارة للبحوث العلمية |
|---|---|
| الناشر: | جامعة الإسكندرية - كلية التجارة |
| المؤلف الرئيسي: | El-Zayat, Mahi Mohssen Younes Mohamed (Author) |
| مؤلفين آخرين: | Halawa, Adel M. (Co-Author) , El-Attar, Labiba (Co-Author) , Hassan, Emtissal Mohamed (Co-Author) |
| المجلد/العدد: | مج56, ع3 |
| محكمة: | نعم |
| الدولة: |
مصر |
| التاريخ الميلادي: |
2019
|
| الشهر: | يوليو |
| الصفحات: | 189 - 214 |
| DOI: |
10.21608/ACJ.2019.47782 |
| ISSN: |
1110-7588 |
| رقم MD: | 1032035 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Association Model "A" | Marginal Model "M" | Simultaneous AM Model | Missing Data "MS" | Ordinal Data | Composite Link Function | Generalized Linear Models "GLM" | CC | Mode Imputation | LOCF | KNNI | MI | Longitudinal Studies
|
| رابط المحتوى: |
الناشر لهذه المادة لم يسمح بإتاحتها. |
| LEADER | 02839nam a22002657a 4500 | ||
|---|---|---|---|
| 001 | 1769255 | ||
| 024 | |3 10.21608/ACJ.2019.47782 | ||
| 041 | |a eng | ||
| 044 | |b مصر | ||
| 100 | |9 559370 |a El-Zayat, Mahi Mohssen Younes Mohamed |e Author | ||
| 245 | |a Handling Missing Data in the Association Marginal Model through Longitudinal Data Analysis: |b A Simulation Study | ||
| 260 | |b جامعة الإسكندرية - كلية التجارة |c 2019 |g يوليو | ||
| 300 | |a 189 - 214 | ||
| 336 | |a بحوث ومقالات |b Article | ||
| 520 | |b Missing data can frequently occur in a longitudinal data analysis, where repeated measurements are taken over time. Unfortunately, missing data can lead to large standard errors in parameter estimates because nonresponse is compounded across times of data collection to produce small longitudinal sample sizes. Also, the problems of survey nonresponse (i.e., reduction in statistical power and threat of parameter bias) are a particularly salient challenge for longitudinal researchers. Thus, the main goal of this paper is to introduce a new idea that describes simultaneously the association structure (A) with the marginal distributions (M) of the responses for longitudinal data in the presence of missing data (MS), through a composite link. This new idea (AM-MS) is of great importance where it is applicable for large and sparse tables. In addition, it can also be used for fitting log linear models to contingency tables with missing data (MS) and fitting models with various assumptions about the missing data mechanisms either MCAR, MAR or NMAR. A simulation study will be performed to apply this new idea, under various situations including (missing mechanisms, missing rates and five methods for handling missing data). The goodness-of-fit test statistics and the number of adjusted residuals greater than 2 are used as evaluation criteria. | ||
| 653 | |a نموذج الهامش الترابطي |a البيانات الأصلية |a الدراسات الطولية | ||
| 692 | |b Association Model "A" |b Marginal Model "M" |b Simultaneous AM Model |b Missing Data "MS" |b Ordinal Data |b Composite Link Function |b Generalized Linear Models "GLM" |b CC |b Mode Imputation |b LOCF |b KNNI |b MI |b Longitudinal Studies | ||
| 773 | |4 إدارة الأعمال |6 Business |c 006 |e Journal of the Faculty of Commerce for Scientific Research |f Maǧallaẗ Kulliyyaẗ Al-Tiǧāraẗ li-l-Buḥūṯ Al-ʿilmiyyaẗ |l 003 |m مج56, ع3 |o 1049 |s مجلة كلية التجارة للبحوث العلمية |v 056 |x 1110-7588 | ||
| 700 | |9 342770 |a Halawa, Adel M. |e Co-Author | ||
| 700 | |9 559376 |a El-Attar, Labiba |e Co-Author | ||
| 700 | |9 339177 |a Hassan, Emtissal Mohamed |e Co-Author | ||
| 856 | |u 1049-056-003-006.pdf |n https://acjalexu.journals.ekb.eg/article_47782.html | ||
| 930 | |d n |p y | ||
| 995 | |a EcoLink | ||
| 999 | |c 1032035 |d 1032035 | ||
عناصر مشابهة
-
Estimating the Simultaneous Association Marginal Model for Longitudinal Data with Missingness: A Simulation Study
بواسطة: El-Zayat, Mahi Mohssen Younes Mohamed منشور: (2019) -
Missing Data in Regression Analysis: A Review
بواسطة: Hussein, Shreen Ali منشور: (2024) -
Longitudinal Data Analysis Analysis Using the Mixture Transition Distribution Model
بواسطة: Takia, Al Biomy Awad Awad منشور: (2009) -
Modeling Correlated Missing Data
بواسطة: Elwakeil, Aly منشور: (2017) -
Estimating the Missing Value of Sugars Data in a Restricted One-Way Analysis of Variance Model
بواسطة: عبدالأمير، مثنى إبراهيم منشور: (2024)
