Results 191 to 200 of about 2,902,778 (234)
A sexually transmitted infection screening algorithm based on semiparametric regression models. [PDF]
Li Z, Liu H, Tu W.
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Statistical properties on semiparametric regression for evaluating pathway effects. [PDF]
Kim I, Pang H, Zhao H.
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Semiparametric regression analysis for time-to-event marked endpoints in cancer studies. [PDF]
Hu C, Tsodikov A.
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Semiparametric joint modeling to estimate the treatment effect on a longitudinal surrogate with application to chronic kidney disease trials. [PDF]
Wang X, Zhou J, Parast L, Greene T.
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Unified Estimation Method for Partially Linear Models With Nonmonotone Missing at Random Data. [PDF]
Zhao Y.
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The MCTOT app: A publicly available tool for statistical cycle-to-threshold analysis and inference of informative but uncertainly determined qPCR data. [PDF]
Zhuang W, Liu J.
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2003
Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the ...
David Ruppert, M. P. Wand, R. J. Carroll
openaire +2 more sources
Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the ...
David Ruppert, M. P. Wand, R. J. Carroll
openaire +2 more sources

