Amanote Research

Amanote Research

    RegisterSign In

Positing, Fitting, and Selecting Regression Models for Pooled Biomarker Data

Statistics in Medicine - United States
doi 10.1002/sim.6496
Full Text
Open PDF
Abstract

Available in full text

Categories
EpidemiologyStatisticsProbability
Date

April 6, 2015

Authors
Emily M. MitchellRobert H. LylesEnrique F. Schisterman
Publisher

Wiley


Related search

BNSP: An R Package for Fitting Bayesian Semiparametric Regression Models and Variable Selection

R Journal
UncertaintyNumerical AnalysisStatisticsProbability
2019English

Fitting Data With Different Error Models

The Mathematica Journal
2014English

Fitting and Interpreting Continuous-Time Latent Markov Models for Panel Data

Statistics in Medicine
EpidemiologyStatisticsProbability
2013English

Fitting Hidden Markov Models to Psychological Data

Scientific Programming
Computer Science ApplicationsSoftware
2002English

The Regression-Calibration Method for Fitting Generalized Linear Models With Additive Measurement Error

Stata Journal
Mathematics
2003English

Meaningful Regression and Association Models for Clustered Ordinal Data

Sociological Methodology
SociologySocial SciencesPolitical Science
2006English

Fitting Event-History Models to Uneventful Data

SSRN Electronic Journal
2007English

Table 3: Best-Fitting Models for Each Morphological Trait Using Mixed-Effects Model Regression.

English

Methodology for Selecting Microarray Biomarker Genes for Cancer Classification

International Journal of Intelligent Computing and Information Sciences
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy