Multivariable analysis: a practical guide for clinicians
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge Univ. Press
2006
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | XIV, 203 S. Ill., graph. Darst. |
| ISBN: | 0521840511 9780521840514 052154985X 9780521549851 |
Internformat
MARC
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| 245 | 1 | 0 | |a Multivariable analysis |b a practical guide for clinicians |c Mitchell H. Katz |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Cambridge |b Cambridge Univ. Press |c 2006 | |
| 300 | |a XIV, 203 S. |b Ill., graph. Darst. | ||
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| 650 | 7 | |a Statistische analyse |2 gtt | |
| 650 | 4 | |a Medizin | |
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Biometry | |
| 650 | 4 | |a Biometry |x methods | |
| 650 | 4 | |a Medical statistics | |
| 650 | 4 | |a Medicine |x Research |x Statistical methods | |
| 650 | 4 | |a Multivariate Analysis | |
| 650 | 4 | |a Multivariate analysis | |
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Datensatz im Suchindex
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| adam_text | Contents
Preface page xiii
Introduction
1.1
1.2
help me to deal with them?
1.3
me to deal with them?
1.4
me to deal with them?
Common uses of
2.1
clinical research?
2.2
Outcome variables in
3.1
choice of which type of
3.2
interval outcome?
3.3
are they used?
3.4
3.5
dichotomous outcome?
VII
vüi Contents
3.6
time-to-outcome variable?
3.7
outcome or a count?
Type of independent variables in
4.1
multivariable
4.2
variables?
Assumptions of multiple linear regression, multiple
logistic regression, and proportional hazards analysis
5.1
multiple logistic regression, and proportional hazards
analysis?
5.2
logistic regression, and proportional hazards analysis?
5.3
outcome in multiple linear regression, multiple logistic
regression, and proportional hazards analysis?
5.4
the outcome in multiple linear regression, multiple logistic
regression, and proportional hazards analysis?
5.5
linear relationship with my outcome?
5.6
assumption, is there any reason to group it into interval
categories or create multiple dichotomous variables?
5.7
outcome and the variance?
5.8
assumptions of normal distribution and equal variance in my
multiple linear regression analysis?
5.9
5.10
in my study?
■x Contents
5.11
for my data?
Relationship of independent variables to one another
6.1
to each other?
6.2
6.3
Setting up
7.1
multivariable
7.2
7.3
multivariable
7.4
7.5
sample size?
7.6
variables?
7.7
Performing the analysis
8.1
variables in my analysis?
8.2
multiple dichotomous ( dummied ) variables?
8.3
8.4
survival analysis?
8.5
start date?
8.6
physiologically possible?
8.7
8.8
regression or proportional hazards model?
■ Contents
8.9
my logistic regression or proportional hazards model?
8.10
my logistic regression or proportional hazards model?
8.11
9
9.1
9.2
9.3
between each variable and the outcome?
9.4
multivariable
9.5
independent variable is interval?
9.6
and relative hazards?
9.7
9.8
9.9
9.10
for multiple comparisons?
10
10.1
multivariable
10.2
variance assumptions of multiple linear regression?
10.3
regression and proportional hazards analysis?
10.4
linear regression model?
10.5
model?
10.6
analysis?
10.7
m Contents
10.8
my multiple independent variables fit this assumption?
10.9
interval-independent variables?
10.10
10.11
10.12
my data?
11
11.1
12
12.1
12.2
correlated observations?
13
13.1
14
14.1
course of the study?
14.2
time-dependent covariates?
14.3
should I use them?
14.4
14.5
15
15.1
multivariable
15.2
multivariable
x9 Contents
15.3
the Results section?
16
Index
This new edition has been fully revised to build on the
enormous success of its popular predecessor. It includes
new features introduced as a result of readers requests,
includinga new chapter on propensity score, more detail
on clustered data and
section on analysis of variance. As before, it describes
howto perform and interpret
using plain language ratherthan complex derivations
and mathematical formulae. It is the perfect introduction
for all clinical researchers. Itfocuses on the nuts and bolts
ofperforming research, and prepares the
perform and interpret
tables, graphs, and tips help to simplify and explain the
process of performing
illustrated with many up-to-date examples from the
medical literature on howto use
in clinical practice and in research.
Mitchell H.Katz
is clinical Professor of Medicine,
Epidemiology, and Biostatistics, at
the university of California,
Francisco; and Attending Physician
atthe San Francisco General
Hospital; he is also Director of the
San Francisco Department of Public
Health. The first edition of this book
won Honorable Mention in the
Physician category of the American
Medical writers Association.
|
| adam_txt |
Contents
Preface page xiii
Introduction
1.1
1.2
help me to deal with them?
1.3
me to deal with them?
1.4
me to deal with them?
Common uses of
2.1
clinical research?
2.2
Outcome variables in
3.1
choice of which type of
3.2
interval outcome?
3.3
are they used?
3.4
3.5
dichotomous outcome?
VII
vüi Contents
3.6
time-to-outcome variable?
3.7
outcome or a count?
Type of independent variables in
4.1
multivariable
4.2
variables?
Assumptions of multiple linear regression, multiple
logistic regression, and proportional hazards analysis
5.1
multiple logistic regression, and proportional hazards
analysis?
5.2
logistic regression, and proportional hazards analysis?
5.3
outcome in multiple linear regression, multiple logistic
regression, and proportional hazards analysis?
5.4
the outcome in multiple linear regression, multiple logistic
regression, and proportional hazards analysis?
5.5
linear relationship with my outcome?
5.6
assumption, is there any reason to group it into interval
categories or create multiple dichotomous variables?
5.7
outcome and the variance?
5.8
assumptions of normal distribution and equal variance in my
multiple linear regression analysis?
5.9
5.10
in my study?
■x Contents
5.11
for my data?
Relationship of independent variables to one another
6.1
to each other?
6.2
6.3
Setting up
7.1
multivariable
7.2
7.3
multivariable
7.4
7.5
sample size?
7.6
variables?
7.7
Performing the analysis
8.1
variables in my analysis?
8.2
multiple dichotomous ("dummied") variables?
8.3
8.4
survival analysis?
8.5
start date?
8.6
physiologically possible?
8.7
8.8
regression or proportional hazards model?
■ Contents
8.9
my logistic regression or proportional hazards model?
8.10
my logistic regression or proportional hazards model?
8.11
9
9.1
9.2
9.3
between each variable and the outcome?
9.4
multivariable
9.5
independent variable is interval?
9.6
and relative hazards?
9.7
9.8
9.9
9.10
for multiple comparisons?
10
10.1
multivariable
10.2
variance assumptions of multiple linear regression?
10.3
regression and proportional hazards analysis?
10.4
linear regression model?
10.5
model?
10.6
analysis?
10.7
m Contents
10.8
my multiple independent variables fit this assumption?
10.9
interval-independent variables?
10.10
10.11
10.12
my data?
11
11.1
12
12.1
12.2
correlated observations?
13
13.1
14
14.1
course of the study?
14.2
time-dependent covariates?
14.3
should I use them?
14.4
14.5
15
15.1
multivariable
15.2
multivariable
x9 Contents
15.3
the Results section?
16
Index
This new edition has been fully revised to build on the
enormous success of its popular predecessor. It includes
new features introduced as a result of readers' requests,
includinga new chapter on propensity score, more detail
on clustered data and
section on analysis of variance. As before, it describes
howto perform and interpret
using plain language ratherthan complex derivations
and mathematical formulae. It is the perfect introduction
for all clinical researchers. Itfocuses on the nuts and bolts
ofperforming research, and prepares the
perform and interpret
tables, graphs, and tips help to simplify and explain the
process of performing
illustrated with many up-to-date examples from the
medical literature on howto use
in clinical practice and in research.
Mitchell H.Katz
is clinical Professor of Medicine,
Epidemiology, and Biostatistics, at
the university of California,
Francisco; and Attending Physician
atthe San Francisco General
Hospital; he is also Director of the
San Francisco Department of Public
Health. The first edition of this book
won Honorable Mention in the
Physician category of the American
Medical writers' Association. |
| any_adam_object | 1 |
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| discipline | Mathematik |
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| index_date | 2024-07-02T14:41:22Z |
| indexdate | 2024-07-09T20:39:07Z |
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| spelling | Katz, Mitchell H. 1959- Verfasser (DE-588)143572520 aut Multivariable analysis a practical guide for clinicians Mitchell H. Katz 2. ed. Cambridge Cambridge Univ. Press 2006 XIV, 203 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Analyse multivariée Biométrie Multivariabele systemen gtt Statistiek gtt Statistique médicale Statistische analyse gtt Medizin Statistik Biometry Biometry methods Medical statistics Medicine Research Statistical methods Multivariate Analysis Multivariate analysis Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Multivariate Analyse (DE-588)4040708-1 s b DE-604 Digitalisierung UBRegensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014795600&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014795600&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Katz, Mitchell H. 1959- Multivariable analysis a practical guide for clinicians Analyse multivariée Biométrie Multivariabele systemen gtt Statistiek gtt Statistique médicale Statistische analyse gtt Medizin Statistik Biometry Biometry methods Medical statistics Medicine Research Statistical methods Multivariate Analysis Multivariate analysis Multivariate Analyse (DE-588)4040708-1 gnd |
| subject_GND | (DE-588)4040708-1 (DE-588)4151278-9 |
| title | Multivariable analysis a practical guide for clinicians |
| title_auth | Multivariable analysis a practical guide for clinicians |
| title_exact_search | Multivariable analysis a practical guide for clinicians |
| title_exact_search_txtP | Multivariable analysis a practical guide for clinicians |
| title_full | Multivariable analysis a practical guide for clinicians Mitchell H. Katz |
| title_fullStr | Multivariable analysis a practical guide for clinicians Mitchell H. Katz |
| title_full_unstemmed | Multivariable analysis a practical guide for clinicians Mitchell H. Katz |
| title_short | Multivariable analysis |
| title_sort | multivariable analysis a practical guide for clinicians |
| title_sub | a practical guide for clinicians |
| topic | Analyse multivariée Biométrie Multivariabele systemen gtt Statistiek gtt Statistique médicale Statistische analyse gtt Medizin Statistik Biometry Biometry methods Medical statistics Medicine Research Statistical methods Multivariate Analysis Multivariate analysis Multivariate Analyse (DE-588)4040708-1 gnd |
| topic_facet | Analyse multivariée Biométrie Multivariabele systemen Statistiek Statistique médicale Statistische analyse Medizin Statistik Biometry Biometry methods Medical statistics Medicine Research Statistical methods Multivariate Analysis Multivariate analysis Multivariate Analyse Einführung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014795600&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014795600&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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