Robust sample size formulae for testing the regression parameter when binary data are correlated
碩士 === 國立中央大學 === 統計研究所 === 96 === Abstract The aim of this research is to make use of the robust likelihood method proposed by Royall and Tsou (2003) to establish sample size formulae for testing parameter in logistic regression when binary data are correlated. We adopted the binomial distribu...
Main Authors: | Ruei-Ai Wang, 王睿愛 |
---|---|
Other Authors: | Tsung-Shan Tsou |
Format: | Others |
Language: | zh-TW |
Published: |
2008
|
Online Access: | http://ndltd.ncl.edu.tw/handle/rbv35n |
Similar Items
-
Covariates and sample size effects on parameter estimation for binary logistic regression model
by: Hamid, H.A, et al.
Published: (2016) -
Binary regression with Bernstein polynomials
by: Ai-ling Hsiao, et al.
Published: (2008) -
Sample Size Determination in Simple Logistic Regression: Formula versus Simulation
by: Meganathan, Karthikeyan
Published: (2021) -
Error in sample size formula
by: Desmond Dedalus Campbell
Published: (2014-01-01) -
Robust Estimation and Tests for Parameters of Some Nonlinear Regression Models
by: Pengfei Liu, et al.
Published: (2021-03-01)