Cancer Patients Missing Pain Score Information:- Application with Imputation Techniques
Background: Methods for handling missing data in clinical research have been getting more attentions over last few years. Contemplation of missing data in any study is vital as they may lead to considerable biases and can have an impact on the power of the study. Objective: This manuscript is dedic...
Saved in:
| Main Authors: | Gajendra Vishwakarma, Atanu Bhattacharjee, Jesna Jose, Ramesh V |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Milano University Press
2016-12-01
|
| Series: | Epidemiology, Biostatistics and Public Health |
| Online Access: | http://ebph.it/article/view/11916 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cyclical hybrid imputation technique for missing values in data sets
by: Kurban Kotan, et al.
Published: (2025-02-01) -
Missing Categorical Data in Sociological Surveys: An Experimental Evaluation of Imputation Techniques
by: Yaroslav Kostenko, et al.
Published: (2025-06-01) -
KFCM-PSOTD : An Imputation Technique for Missing Values in Incomplete Data Classification
by: Muhaimin Ilyas, et al.
Published: (2024-05-01) -
A Comparative Study on Missing Value Imputation Techniques in Machine Learning
by: Meng Haoyu
Published: (2025-01-01) -
A Probabilistic Approach for Missing Data Imputation
by: Muhammed Nazmul Arefin, et al.
Published: (2024-01-01)