Qianying Wang

Risk of Bias Assessment in Preclinical Literature using Natural Language Processing

This paper applies natural language processing to assess risk of bias in preclinical literature, achieving high F1 scores for several bias items using neural models and BERT.

Animal models of chemotherapy-induced peripheral neuropathy: a machine-assisted systematic review and meta-analysis A comprehensive summary of the field to inform robust experimental design

Estimating the statistical performance of different approaches to meta-analysis of data from animal studies in identifying the impact of aspects of study design

This paper compares statistical methods for meta-analysis of animal studies, finding that normalized mean difference (NMD) has higher power than standardized mean difference (SMD), and meta-regression outperforms stratified meta-analysis.