q Nonparametric
functional data analysis
q Incomplete data and model uncertainty
q Latent variable models and covariance structural analysis
q Diagnostics and influence analysis
*Some
papers are available online
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Incomplete data and model uncertainty
--Incomplete
data bias and model misspecification
--Meta-analysis
and selection bias, Sensitivity analysis
--Applications
in medicine
·
Selected papers
§
Lin, N. X., Shi, J. Q. and Henderson, R.
(2011). Doubly misspecified models.
§
Chootrakool, H., Shi, J. Q. and Yue, R. (2011).
Meta-analysis and sensitivity analysis for multi-arm trials
with selection bias. Statistics in Medicine. 30, 1183-1198. [Dr. Chootrakool’s thesis]
§
Shi, J. Q. (2007). Meta-analysis and latent variable
models for binary data. Handbook of
Computing and Statistics with Applications: Latent Variable and Related Models, Vol. 1. Lee, S.Y., Kontoghiorghes, E.J., Eds.;
Elsevier,2007, 261-278 .
§
Shi, J. Q. and Tang, M. L. (2007). Trend estimation. Encyclopaedia of Biopharmaceutical Statistics, 1:1, 1 – 7 URL: http://dx.doi.org/10.1081/E-EBS-120041929 (Invited contribution for an entry to the Encyclopedia
of Biopharmaceutical Statistics, peer-reviewed)
§
Shi,
J.Q. and Copas, J.B. (2004). Meta-analysis for trend
estimation. Statistics in Medicine 23, 3-19.
§
Shi, J.Q. and Copas, J.B.
(2002). Meta-analysis for 22
Tables using an average Markov chain Monte Carlo EM algorithm. J. R. Statist. Soc. B, 64,
221-236.
§
Copas, J.B. and Shi, J.Q. (2001). A Sensitivity analysis for publication bias in systematic reviews.
Statistical Methods in Medical Research. 10, 251-265. [Full text]
§
Copas, J.B. and
Shi, J.Q. (2000). Meta-analysis, funnel plots and sensitivity
analysis. Biostatistics, 1, 247-262. [Abstract / Full text]
§
Copas, J.B. and Shi, J.Q. (2000). The
epidemiological evidence on lung cancer and passive smoking: a reanalysis. British
Medical Journal, 320, 417-418. [Full text] [Related news reports]
·
Project
ESRC-funded
Project R000237498: Methodology for Meta-analysis and the What
Works Debate. Copas and Shi in collaboration with Mair.
***This
project is graded as Outstanding: High quality research making an important
contribution to the development of the subject in 2000.
Latent variable models and structure
equation
§ Shi, J. Q. (2007).
Meta-analysis and latent variable models for binary data. Handbook of Computing and Statistics with Applications: Latent
Variable and Related Models, Vol. 1. Lee,
S.Y., Kontoghiorghes, E.J., Eds.; Elsevier,2007, 261-278 .
§ Shi, J.Q., Lee,
S.Y. and Wei, B.C. (2002). On confidence regions of
structural equation Models. In Structural Equation
and Latent Variable Models. (eds G. A.
Marcoulides and I. Moustaki). Lawrence Erlbaum Associatites, INC. 135-151. [Full text]
§ Lee, S.Y. and Shi,
J.Q. (2001). Maximum likelihood estimation of two-level latent variable models with mixed continuous
and polytomous data. Biometrics (in press). [Full text]
§ Shi, J.Q. and Lee,
S.Y. (2000). Latent Variable models with mixed continuous and polytomous data. J.
R. Statist. Soc. B, 62, 77-87. . [Dataset is
publicly available].
§ Lee, S.Y. and Shi,
J.Q. (2000). Joint Bayesian analysis of factor score and
structural parameters in the factor analysis models. Ann.
Inst. Statist. Math, 52, 722-736.
§ Lee, S.Y. and Shi,
J.Q. (2000). Bayesian analysis of structural equation model with fixed covariates. Structure Equation Modeling:
A Multidisciplinary Journal, 7, 411-430.
§ Lee, S.Y. and Shi,
J.Q. (1998). Analysis of covariance structure with
independent and non-identically distributed observations. Statistica Sinica, 8,
543-557.
§ Shi, J.Q. and Lee,
S.Y. (1998). Bayesian sampling-based approaches for factor analysis model with
continuous and polytomous data. Brit. J.
of Math. & Stat. Psychology, 51, 233-252.
§ Shi, J.Q. and Lee,
S.Y. (1997). A Bayesian estimation of factor score in confirmatory factor model
with polytomous, censored or truncated data. Psychometrika, 62, No.1, 29-50.
§ Shi, J.Q. and Lee,
S.Y. (1997). Estimation of factor scores with polytomous data by EM
algorithm. Brit. J.
of Math. & Stat. Psychology, 50, 215-226.
Diagnostics and influence analysis
§
Shi, J.Q. and Wan, F.H. (1999).
Diagnostics for empirical Bayes models. Systems Science and mathematical
Sciences, 12, No.2, 104-114.
§
Shi, J.Q. and Wei, B.C. (1995). Bayesian local influence. Mathematica Applicata, 8,
No.2, 237-245.
§
Shi, J.Q. and Wei, B.C. (1995).
Diagnostics for nonlinear regression model with transformation or weighting. Systems
Science and Mathematical Sciences, 8, No.3, 240-248.
§
Shi, J.Q. (1995). Assessing
local prior influence in Bayesian analysis. Applied Mathematics - A journal of Chinese University, 10B, 123-132.
§
Wei, B.C. and Shi, J.Q. (1994). On statistical models for regression diagnostics. Ann. Inst. Statist. Math., 46, No. 2, 267-278.
§
Wei, B.C. and Shi, J.Q. (1994). Local influential analysis for transformation model. Acta
Mathematicae Applicatae Sinica, V. 17, No.1, 132-143. (in Chinese).
§
Shi, J.Q. (1993). Regression
transformation diagnostics in transform-both-sides model. Statistics
& Probability Letters, 16, 411-20.
§
Shi, J.Q. (1993). Influential analysis in
accelerate life model
with censored data. Mach. & Elec. Tech. Water Comservancy
& Elec. Pow., V7, No.1,
53-58. (in Chinese).
§
Shi, J.Q. (1992). Diagnostics and local
influence for the proportional hazards model with censored data. J. of Biomathematics,
Vol.7, No.3, 81-91. (in Chinese).
Book
·
Wei, B.C., Lu.,G.P. and Shi, J.Q. (1991). Introduction of
Statistical Diagnostics. Southeast University Press, Nanjing (in
Chinese).
§
Wei, B.C., Shi, J.Q., Fung, W.K. and Hu,
Y.Q. (1998). Testing for varying dispersion in exponential family nonlinear
models. Ann. Inst. Statist. Math. 50, No.2, 277-294.
§
Hu, H.M. and Shi, J.Q. (1993). Estimation
of matrix elliptical contoured distributions with censored data. J. of Southeast University,
V.23, No.3, 118-22. (in Chinese).
§
Shi, J.Q. (1993). Bayesian inference for
change points in mathematical models of
social economy. Information & Control, 22,
165-9. (in Chinese).
§
Shi, J.Q. and Wei, B.C. (1992). Convergence of iteration methods of maximum likelihood estimator
and its applications. J. of Southeast University} (English
Edition), V.8, No.2, 85-93; (Chinese Edition), V.22, No.3, 81-88.
§
Shi, J.Q. and Zhao, Z.F. (1992). A predictive view of inference about the structural change in
mathematical models of social economy. Information
& Control, 21, 271-7. (in Chinese).
§
Shi, J.Q. and Yao, Q.W. (1989). A Bayesian Inference for a change point in a multivariate linear
model. Mathematical Statistics and
Applied Probability, 4, 297-307. (in
Chinese).