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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

Explosive Behavior In The 1990S Nasdaq: When Did Exuberance Escalate Asset Values?

Phillips, PCB; Wu, YR; Yu, J - 2011

applications, and some new limit theory for mildly explosive processes. The test procedure is shown to have discriminatory power in …

Persistent link: https://www.econbiz.de/10009483168

Better Safe than Sorry: Precautionary Reasoning and Implied Dominance in Risky Decisions

DeKay, Michael L.; Patiño-Echeverri, Dalia; Fischbeck, … - 2005

alternatives can seriously bias the evaluation of consequences in risky high-stakes decisions. …

Persistent link: https://www.econbiz.de/10009441242

Better Safe than Sorry: Precautionary Reasoning and Implied Dominance in Risky Decisions

DeKay, Michael L.; Patino-Echeverri, Dalia; Fischbeck, … - 2008

alternatives can seriously bias the evaluation of consequences in risky high-stakes decisions. …

Persistent link: https://www.econbiz.de/10009441300

Open-Access Fishery Models: Relaxing a Constraint and Removing an Econometric Obstacle

Gomersall, C. Nicholas - 1992

Over the past 30 years, a widely accepted model of "open-access" fisheries has been developed, yet empirical tests of the standard model have been relatively few. One difficulty is that fish stocks, the levels of which affect the rate of catch, are not directly observable. Simplifying...

Persistent link: https://www.econbiz.de/10009444643