Statistical thinking in epidemiology / (Record no. 55867)

MARC details
000 -LEADER
fixed length control field 02324nam a2200277 a 4500
001 - CONTROL NUMBER
control field vtls000057158
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251117150320.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 111212t2012 flua f 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781420099911
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1420099914
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201204171045
Level of effort used to assign nonsubject heading access points asmadi
Level of effort used to assign subject headings 201203051041
Level of effort used to assign classification asmadi
-- 201112121541
-- shah
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) RA652.2.M3 T89 2012
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Tu, Yu-Kang
245 10 - TITLE STATEMENT
Title Statistical thinking in epidemiology /
Statement of responsibility, etc. Yu-Kang Tu, Mark S. Gilthorpe
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca Raton, FL :
Name of publisher, distributor, etc. CRC Press,
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent xii, 219 p. :
Other physical details ill. ;
Dimensions 25 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (p. 189-202) and index
520 ## - SUMMARY, ETC.
Summary, etc. "While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems in the use of correlation and regression in medical and epidemiological research : mathematical coupling, regression to the mean, collinearity, the reversal paradox, and statistical interaction. Statistical Thinking in Epidemiology is about thinking statistically when looking at problems in epidemiology. The authors focus on several methods and look at them in detail: specific examples in epidemiology illustrate how different model specifications can imply different causal relationships amongst variables, and model interpretation is undertaken with appropriate consideration of the context of implicit or explicit causal relationships. This book is intended for applied statisticians and epidemiologists, but can also be very useful for clinical and applied health researchers who want to have a better understanding of statistical thinking. Throughout the book, statistical software packages R and Stata are used for general statistical modeling, and Amos and Mplus are used for structural equation modeling"--Provided by publisher
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Epidemiology
General subdivision Statistical methods
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Epidemiology
General subdivision Mathematics
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gilthorpe, Mark S.
942 00 - ADDED ENTRY ELEMENTS (KOHA)
Koha issues (borrowed), all copies 1
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Date last checked out Copy number Cost, replacement price Price effective from Koha item type
  Not lost     UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019 277.66 1 RA652.2.M3 T89 2012 0000062865 26/03/2021 12/03/2020 1 277.66 04/09/2019 Open Shelf

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