Jinyong Pang
Biographic Data
| ID | 11200805 |
|---|---|
| NAME | Jinyong Pang |
| GIVEN NAMES | Jinyong |
| FAMILY NAME | Pang |
| SIGNATURE | PANG J |
| AFFILIATIONS | USF Genomics & College of Public Health University of South Florida Tampa Florida USA |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Evaluation of missing data imputation methods for human osteometric measurements
It is not uncommon for biological anthropologists to analyze incomplete bioarcheological or forensic skeleton specimens. As many quantitative multivariate analyses cannot handle incomplete data, missing data imputation or estimation is a common preprocessing practice for such data. Using William W. Howells' Craniometric Data Set and the Goldman Osteometric Data Set, we evaluated the performance of multiple popular statistical methods for imputing…
Analysis of data consistency identifies measurement abnormality in Howells' craniometric test data set
Howells' craniometric data set is the largest publicly available craniometric data set on the internet and has been widely used in craniometric methods development. The data consists of a main data set of 2524 human crania from 28 populations and an additional “test” data set of 524 crania. Up to 82 measurements were recorded from those crania. We studied the data consistency between the main and test data sets for potential combined usage of the…
No prominent works on this page.
Analysis of data consistency identifies measurement abnormality in Howells' craniometric test data set
Howells' craniometric data set is the largest publicly available craniometric data set on the internet and has been widely used in craniometric methods development. The data consists of a main data set of 2524 human crania from 28 populations and an additional “test” data set of 524 crania. Up to 82 measurements were recorded from those crania. We studied the data consistency between the main and test data sets for potential combined usage of the…
Evaluation of missing data imputation methods for human osteometric measurements
It is not uncommon for biological anthropologists to analyze incomplete bioarcheological or forensic skeleton specimens. As many quantitative multivariate analyses cannot handle incomplete data, missing data imputation or estimation is a common preprocessing practice for such data. Using William W. Howells' Craniometric Data Set and the Goldman Osteometric Data Set, we evaluated the performance of multiple popular statistical methods for imputing…
craniometry (2 works) · Forensic Anthropology and Bioarchaeology Studies (2 works) · Statistical Methods and Applications (2 works) · Amelia (1 work) · Bayesian principal component analysis (1 work) · Bioarchaeology (1 work) · data comparison (1 work) · Data consistency (1 work) · Forensic anthropology (1 work) · imputation method comparison (1 work)