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Bibframe Work

Title
Primer of applied regression & analysis of variance
Other Titles (e.g. Variant)
Primer of applied regression and analysis of variance
Type
Text
Monograph
Contribution
Glantz, Stanton A. (Author)
Slinker, Bryan K. (Author)
Neilands, Torsten B. (Author)
Subject
Biometry (LCSH)
Regression analysis (LCSH)
Analysis of variance (LCSH)
Biometry--methods (MESH)
Analysis of Variance (MESH)
Data Interpretation, Statistical (MESH)
Regression Analysis (MESH)
Language
English
Illustrative Content
Illustrations
Classification
LCC: QH323.5 .G56 2016
WA 950
DDC: 570.1/5195 full
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Could not render: bf:status
Supplementary Content
bibliography
index
Content
text
Table Of Contents
Why do multivariate analysis?
The first step : understanding simple linear regression
Regression with two or more independent variables
Do the data fit the assumptions?
Multicollinearity and what to do about it
Selecting the "best" regression model
Missing data
One-way analysis of variance
Two-way analysis of variance
Repeated measures
Mixing continuous and categorical variables : analysis of covariance
Regression with a qualitative dependent variable : logistic regression
Regression modeling of time-to-event data : survival analysis
Nonlinear regression.
Authorized Access Point
Glantz, Stanton A. Primer of applied regression & analysis of variance
Admin Metadata
Generation Process: DLC marc2bibframe2 v2.5.0
Status: changed
Encoding Level: full
Identified By: bf:Local, 18765840
Change Date: 2017-08-30T11:27:02
Creation Date: 2015-08-31
Description Language: English
Description Modifier: United States, Library of Congress
Description Authentication:
Non-rendered Predicates: bf:assigner