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Jialiang Li

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Full Name
Jialiang Li
Variants
Li, Jialiang
Liang, L.J.
Li, J.L.
Jialiang, L.
Li, J.
Li, J.-L.
Li J.
 
Main Affiliation
 
Faculty
 
Email
stalj@nus.edu.sg
 

Publications

Refined By:
Date Issued:  [2000 TO 2009]
Date Issued:  2009

Results 1-11 of 11 (Search time: 0.004 seconds).

Issue DateTitleAuthor(s)
1Mar-2009A semi-parametric analysis for identifying Scleroderma patients responsive to an anti-fibrotic agentLi, J. ; Wong, W.K.
2Nov-2009Bandwidth selection through cross-validation for semi-parametric varying-coefficient partially linear modelsLi, J. ; Palta, M.
3Sep-2009Carbapenems and subsequent multiresistant bloodstream infection: does treatment duration matter?Donaldson, A.D.; Razak, L.; Liang, L.J. ; Fisher, D.A.; Tambyah, P.A.
42009Confidence interval for the bootstrap P-value and sample size calculation of the bootstrap testLi, J. ; Tai, B.C. ; Nott, D.J. 
51-Oct-2009Impact of unknown covariance structures in semiparametric models for longitudinal data: An application to Wisconsin diabetes dataLi, J. ; Xia, Y. ; Palta, M.; Shankar, A.
61-Dec-2009Nonparametric and semiparametric estimation of the three way receiver operating characteristic surfaceLi, J. ; Zhou, X.-H.
72009Semiparametric residuals and analysis for a scleroderma clinical trialLi, J. 
8Sep-2009The choice of estimating equations for glomerular filtration rate significantly affects the prevalence of chronic kidney disease in a multi-ethnic population during health screeningTeo, B.W.; Ng, Z.Y.; Li, J. ; Saw, S.; Sethi, S.; Lee, E.J.
92009The choice of estimating equations for glomerular filtration rate significantly affects the prevalence of chronic kidney disease in a multi-ethnic population during health screeningTeo, B.W. ; Lee, E.J. ; Sethi, S. ; Li, J. ; Saw, S.; Ng, Z.Y.
102009The choice of estimating equations for glomerular filtration rate significantly affects the prevalence of chronic kidney disease in a multi-ethnic population during health screeningTeo, B.W. ; Lee, E.J. ; Sethi, S. ; Li, J. ; Saw, S.; Ng, Z.Y.
11Jan-2009Using whole genome amplification (WGA) of low-volume biopsies to assess the prognostic role of EGFR, KRAS, p53, and CMET mutations in advanced-stage non-small cell lung cancer (NSCLC)Lim, E.H.; Zhang, S.-L.; Li, J.-L. ; Yap, W.-S.; Howe, T.-C.; Tan, B.-P.; Lee, Y.-S.; Wong, D.; Khoo, K.-L.; Seto, K.-Y.; Tan, L.; Agasthian, T.; Koong, H.-N.; Tam, J.; Tan, C.; Caleb, M.; Chang, A.; Ng, A.; Tan, P.