ACTIVITIES

IDENTIFYING AND MANAGING MISSING DATA AND OUTLIERS IN CLINICAL AND HEALTH SCIENCES RESEARCH

10 Aug 2023 - 10 Aug 2023

02.00 - 05.00

Seminar Room, Level 1, HSAAS / Online (Google Meet)

Assalamualaikum w.b.t. and good day. YBhg. Prof./Dato'/Datin/Dr./Tuan/Puan, We are pleased to announce that the Clinical Research Unit, Hospital Sultan Abdul Aziz Shah (HSAAS), UPM will organize a program on ''Identifying and Managing Missing Data and Outliers in Clinical and Health Sciences Research". This program has several objectives primarily: 1. Types of "Missing data" such as Missing Completely at Random (MCAR), Missing at Random (MAR) and Missing not at Random (MNAR). 2. Method to identify the type/mechanism of missing data. 3. Methods for missing data management based on the type/mechanism of missing data such as: complete case analysis, available case analysis, single imputation method, multiple imputation, multivariate imputation chained equation (MICE) and maximum-likelihood imputation. 4. Types of outliers such as 'influential outliers' and 'noisy outliers' and how to distinguish these types of outliers. 5. Classification of outlier management: a) Rejected as erroneous b) Identified as important c) Tolerated with in analysis (Accommodating) d) Incorporated into the analysis 6.Techniques of 'robust' statistical methods for outlier management such as 'winsorization technique', transformation technique, 'Robust regression' (Huber regression or M-estimator), and data stratification. 7. Spss demonstration 'Identifying and Managing Missing Data and Outliers in Clinical and Health Sciences Research' Program details: Date : 10th August 2023 (Thursday) Time : 2.00 - 5.00 pm Venue : Seminar Room, Level 1, HSAAS or Hybrid via Google Meet: Link will be given upon successful registration Fee : RM10 (UPM staff) | RM30 (UPM student) | RM50 (non-UPM) Speaker: 1. Prof. Dr. Karuthan A/L Chinna Professor at UCSI University BSc. (Education), MSc. (Applied Stats), PhD (Management) To register, please click on this link: https://forms.gle/Xqr7o456ouLJYSNf7 We would greatly appreciate it if you could help us to disseminate this call to your colleagues or anyone who may be interested in this program. For more information, please refer to the attachment for your reference or contact us at 03-9769 9761 / 9762 / 9763 / 9759 / 9771. We are looking forward to seeing you!