Similar Search Results

FEATURES OF THE REGRESSION ANALYSIS METHODOLOGY IN MANAGEMENT ACCOUNTING

Jikia, Merab - 2022

Persistent link: https://www.econbiz.de/10015335714

Evaluation of statistical estimation methods for lognormally distributed variables.

Parkin, T.B.; Meisinger, J.J.; Chester, S.T.; Starr, J.L.; … - 1988

lognormal population. The four statistical methods were: (i) the geometric mean (GM), (ii) a bias-corrected form of the …

Persistent link: https://www.econbiz.de/10009429560

Robustness in Latent Variable Models

Huang, Xianzheng - 2006

Statistical models involving latent variables are widely used in many areas of applications, such as biomedical science and social science. When likelihood-based parametric inferential methods are used to make statistical inference, certain distributional assumptions on the latent variables are...

Persistent link: https://www.econbiz.de/10009431306

Causal Inference with Two-Stage Logistic Regression - Accuracy, Precision, and Application

Cai, Bing - 2010

2SPS and 2SRI for logistic binary outcomes have not been thoroughly studied. We study the bias and variance properties … trial. We first present closed form expressions of asymptotic bias for the causal odds ratio from both 2SPS and 2SRI … approaches. Our closed form bias results show that the 2SPS logistic regression generates asymptotically biased estimates of this …

Persistent link: https://www.econbiz.de/10009439053

Adaptive Inference for Multi-Stage Survey Data

Al-Zou'bi, L. M.; Clark, Robert Graham; Steel, D. G. - 2009

Two-stage sampling usually leads to higher variances for estimators of means and regression coefficients, because of intra-cluster homogeneity. One way of allowing for clustering in fitting a linear regression model is to use a linear mixed model with two levels. If the estimated intra-cluster...

Persistent link: https://www.econbiz.de/10009457371

Evaluating bias caused by screening in observational risk-factor studies of lung cancer nested in the PLCO randomized screening trial.

Jansen, Ricky Jeffrey - 2009

It is well-known that bias such as lead-time and length distort studies of screening efficacy whether survival or … incidence is of interest. A third bias, usually called overdiagnosis bias, occurs when an individual is only diagnosed with … disease before death from a different cause because he/she is screened. These forms of bias can also arise in observational …

Persistent link: https://www.econbiz.de/10009462767

Bias Reduction and Goodness-of-Fit Tests in Conditional Logistic Regression Models

Sinha, Samiran (contributor); Wang, Suojin (contributor) - 2010

bias preventive approach developed by Firth (1993) to handlethe bias of an estimator of the log-odds ratio parameter in … conditional logistic regression bysolving a modified score equation. The resultant estimator not only reduces bias but alsocan …

Persistent link: https://www.econbiz.de/10009464883