Applied Linear Regression for Longitudinal Data (Record no. 1433091)

MARC details
000 -LEADER
fixed length control field 01887nam a22002657a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251211164304.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250627b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367634315
040 ## - CATALOGING SOURCE
Original cataloging agency CSL
Transcribing agency CSL
041 ## - LANGUAGE CODE
Source of code eng
Language code of text/sound track or separate title eng
084 ## - COLON CLASSIFICATION NUMBER
Classification number B28 R3
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Tan , Frans E.S
Relator term author.
9 (RLIN) 814859
245 ## - TITLE STATEMENT
Title Applied Linear Regression for Longitudinal Data
Remainder of title : With an Emphasis on Missing Observations
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca Raton :
Name of publisher, distributor, etc. CRC Press/Taylor & Francis,
Date of publication, distribution, etc. 2023.
300 ## - PHYSICAL DESCRIPTION
Extent xxi, 226p.
Other physical details : ill.
Dimensions ; 24 cm.
490 ## - SERIES STATEMENT
Series statement Chapman & Hall/CRC Texts in Statistical Science Series
500 ## - GENERAL NOTE
General note Includes references and index.
520 ## - SUMMARY, ETC.
Summary, etc. This book introduces best practices in longitudinal data analysis at intermediate level, with a minimum number of formulas without sacrificing depths. It meets the need to understand statistical concepts of longitudinal data analysis by visualizing important techniques instead of using abstract mathematical formulas. Different solutions such as multiple imputation are explained conceptually and consequences of missing observations are clarified using visualization techniques. Provides datasets and examples onlineGives state-of-the-art methods of dealing with missing observations in a non-technical way with a special focus on sensitivity analysisConceptualises the analysis of comparative (experimental and observational) studiesIt is the ideal companion for researchers and students in epidemiological, health, and social and behavioral sciences working with longitudinal studies without a mathematical background.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Longitudinal data.
9 (RLIN) 814860
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Linear regression.
9 (RLIN) 451157
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Scientific framework.
9 (RLIN) 814861
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Missing observations.
9 (RLIN) 814862
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Jolani, Shahab
Relator term co-author.
9 (RLIN) 814863
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Koha item type Textual
Classification part B28 R3
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Colon Classification (CC)     Central Science Library Central Science Library 2024-10-30 Indica Publisher   B28 R3 SL1656003 2025-12-11 2025-12-11 Textual
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