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- Wen-Fang Wang, You-Gan Wang, Anthony M Reginato, Sofiya Plotkina, Thomas Gridley, Bjorn R Olsen
- Developmental dynamics : an official publication…
- 2002

Gene-targeted disruption of Grg5, a mouse homologue of Drosophila groucho (gro), results in postnatal growth retardation in mice. The growth defect, most striking in approximately half of the Grg5 null mice, occurs during the first 4-5 weeks of age, but most mice recover retarded growth later. We used the nonlinear mixed-effects model to fit the growth data… (More)

- You-Gan Wang, Xu Lin, Min Zhu
- Biometrics
- 2005

Robust methods are useful in making reliable statistical inferences when there are small deviations from the model assumptions. The widely used method of the generalized estimating equations can be "robustified" by replacing the standardized residuals with the M-residuals. If the Pearson residuals are assumed to be unbiased from zero, parameter estimators… (More)

- WenFang Wang, You-Gan Wang, +5 authors Bjorn R Olsen
- Developmental biology
- 2004

Runx2-Cbfa1, a Runt transcription factor, plays important roles during skeletal development. It is required for differentiation and function of osteoblasts. In its absence, chondrocyte hypertrophy is severely impaired and there is no vascularization of cartilage templates during skeletal development. These tissue-specific functions of Runx2 are likely to be… (More)

- You-Gan Wang, Zehua Chen, Jianbin Liu
- Biometrics
- 2004

Nahhas, Wolfe, and Chen (2002, Biometrics58, 964-971) considered optimal set size for ranked set sampling (RSS) with fixed operational costs. This framework can be very useful in practice to determine whether RSS is beneficial and to obtain the optimal set size that minimizes the variance of the population estimator for a fixed total cost. In this article,… (More)

- Denis H Y Leung, You-Gan Wang, Min Zhu
- Biostatistics
- 2009

The method of generalized estimating equations (GEEs) provides consistent estimates of the regression parameters in a marginal regression model for longitudinal data, even when the working correlation model is misspecified (Liang and Zeger, 1986). However, the efficiency of a GEE estimate can be seriously affected by the choice of the working correlation… (More)

- Liya Fu, You-Gan Wang
- Computational Statistics & Data Analysis
- 2012

- Lin-Yee Hin, You-Gan Wang
- Statistics in medicine
- 2009

Selecting an appropriate working correlation structure is pertinent to clustered data analysis using generalized estimating equations (GEE) because an inappropriate choice will lead to inefficient parameter estimation. We investigate the well-known criterion of QIC for selecting a working correlation structure, and have found that performance of the QIC is… (More)

- You-Gan Wang, Denis Heng-Yan Leung, Ming Li, Say-Beng Tan
- Statistical methods in medical research
- 2005

So far, most Phase II trials have been designed and analysed under a frequentist framework. Under this framework, a trial is designed so that the overall Type I and Type II errors of the trial are controlled at some desired levels. Recently, a number of articles have advocated the use of Bayesian designs in practice. Under a Bayesian framework, a trial is… (More)

- Denis Heng-Yan Leung, You-Gan Wang
- Statistics in medicine
- 2002

The primary goal of a phase I trial is to find the maximally tolerated dose (MTD) of a treatment. The MTD is usually defined in terms of a tolerable probability, q(*), of toxicity. Our objective is to find the highest dose with toxicity risk that does not exceed q(*), a criterion that is often desired in designing phase I trials. This criterion differs from… (More)

Comparisons of growth rates of populations and species are important in fi sheries science for a range of reasons that vary with the context of each study. Most studies of fi sh growth have focused on the practical issues of the most appropriate way of comparing growth rather than on recognizing that there are several methods for making these comparisons… (More)