Comparison of Two Methods for Detecting Publication Bias with Binary Outcomes
碩士 === 國立成功大學 === 統計學系 === 105 === Publication bias is a major concern in meta-analysis, since it will lead to biased research conclusion. Many statistical methods have been developed to detect and adjust publication bias. However, Jin et al. (2014) mentioned that no simulation is conducted to inves...
Main Authors: | Chia-HsinLee, 李佳芯 |
---|---|
Other Authors: | Yun-Chan Chi |
Format: | Others |
Language: | zh-TW |
Published: |
2017
|
Online Access: | http://ndltd.ncl.edu.tw/handle/ehfq2r |
Similar Items
-
Simulation study on the validity of methods for detecting publication bias in meta-analysis for binary outcomes.
Published: (2006) -
A 2.5-bit/cycle 10-bit 160-MS/s SAR ADC with Digital Code Error Correction
by: Chia-HsinLee, et al.
Published: (2016) -
The Impact of Taiwan\'s Energy Transformation Policy on Power Supply Planning
by: HsinLee, et al.
Published: (2019) -
Detecting publication bias in random effects meta-analysis: An empirical comparison of statistical methods
by: Rendina-Gobioff, Gianna
Published: (2006) -
Accounting for misclassification bias of binary outcomes due to underscreening: a sensitivity analysis
by: Nanhua Zhang, et al.
Published: (2017-12-01)