Semiparametric regression for periodic longitudinal hormone data from multiple menstrual cycles.
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Novel statistical methodology for analyzing longitudinal biomarker dataThe analysis of longitudinal data using mixed model L-splines.Direct regression models for longitudinal rates of change.Nonparametric Regression With Missing Outcomes Using Weighted Kernel Estimating Equations.Modeling and testing treated tumor growth using cubic smoothing splines.Using semiparametric-mixed model and functional linear model to detect vulnerable prenatal window to carcinogenic polycyclic aromatic hydrocarbons on fetal growth.Modeling associations between latent event processes governing time series of pulsing hormones.
P2860
Q30564365-05547D97-CB02-4F81-A5C5-FC102CB13599Q33254451-DB41C23E-1EED-4838-8772-61A0C4A1F41FQ33967114-72F71253-FFDA-405A-BFCE-28621BEC9B03Q36379774-821C1DEC-EC8B-4111-9817-2D1890A2C779Q39538165-0181BC4D-B0B7-4C7E-BE5A-34FCEB7B98EDQ44889123-67C68292-1077-4690-813C-9FEAAEB6CD4BQ47310351-11A6FF87-6D85-4F17-97CB-50055D0B10CA
P2860
Semiparametric regression for periodic longitudinal hormone data from multiple menstrual cycles.
description
2000 nî lūn-bûn
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name
Semiparametric regression for ...... rom multiple menstrual cycles.
@ast
Semiparametric regression for ...... rom multiple menstrual cycles.
@en
type
label
Semiparametric regression for ...... rom multiple menstrual cycles.
@ast
Semiparametric regression for ...... rom multiple menstrual cycles.
@en
prefLabel
Semiparametric regression for ...... rom multiple menstrual cycles.
@ast
Semiparametric regression for ...... rom multiple menstrual cycles.
@en
P2093
P2860
P1433
P1476
Semiparametric regression for ...... rom multiple menstrual cycles.
@en
P2093
P2860
P356
10.1111/J.0006-341X.2000.00031.X
P407
P577
2000-03-01T00:00:00Z