The design and statistical analysis of animal experiments:
"Written for animal researchers, this book provides a comprehensive guide to the design and statistical analysis of animal experiments. It has long been recognised that the proper implementation of these techniques helps reduce the number of animals needed. By using real-life examples to make t...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge Univ. Press
2014
|
| Schlagworte: | |
| Online-Zugang: | Cover image Inhaltsverzeichnis |
| Zusammenfassung: | "Written for animal researchers, this book provides a comprehensive guide to the design and statistical analysis of animal experiments. It has long been recognised that the proper implementation of these techniques helps reduce the number of animals needed. By using real-life examples to make them more accessible, this book explains the statistical tools employed by practitioners. A wide range of design types are considered, including block, factorial, nested, cross-over, dose-escalation and repeated measures and techniques are introduced to analyse the experimental data generated. Each analysis technique is described in non-mathematical terms, helping readers without a statistical background to understand key techniques such as t-tests, ANOVA, repeated measures, analysis of covariance, multiple comparison tests, non-parametric and survival analysis. This is also the first text to describe technical aspects of InVivoStat, a powerful open-source software package developed by the authors to enable animal researchers to analyse their data and obtain informative results".. |
| Beschreibung: | Includes bibliographical references (pages 297-302) and index |
| Beschreibung: | XV, 310 S. Ill., graph. Darst. |
| ISBN: | 9781107030787 9781107690943 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV042214112 | ||
| 003 | DE-604 | ||
| 005 | 20200903 | ||
| 007 | t | ||
| 008 | 141128s2014 ad|| |||| 00||| eng d | ||
| 010 | |a 013033851 | ||
| 020 | |a 9781107030787 |9 978-1-107-03078-7 | ||
| 020 | |a 9781107690943 |9 978-1-107-69094-3 | ||
| 035 | |a (OCoLC)891523681 | ||
| 035 | |a (DE-599)BVBBV042214112 | ||
| 040 | |a DE-604 |b ger |e rakwb | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-578 |a DE-Eb1 |a DE-20 | ||
| 050 | 0 | |a HV4930 | |
| 082 | 0 | |a 590.72/4 |2 23 | |
| 084 | |a WC 4900 |0 (DE-625)148105:13423 |2 rvk | ||
| 084 | |a W 20.55 |2 nlm | ||
| 100 | 1 | |a Bate, Simon T. |d 1975- |e Verfasser |0 (DE-588)1049412885 |4 aut | |
| 245 | 1 | 0 | |a The design and statistical analysis of animal experiments |c Simon T. Bate and Robin A. Clark |
| 264 | 1 | |a Cambridge |b Cambridge Univ. Press |c 2014 | |
| 300 | |a XV, 310 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references (pages 297-302) and index | ||
| 520 | |a "Written for animal researchers, this book provides a comprehensive guide to the design and statistical analysis of animal experiments. It has long been recognised that the proper implementation of these techniques helps reduce the number of animals needed. By using real-life examples to make them more accessible, this book explains the statistical tools employed by practitioners. A wide range of design types are considered, including block, factorial, nested, cross-over, dose-escalation and repeated measures and techniques are introduced to analyse the experimental data generated. Each analysis technique is described in non-mathematical terms, helping readers without a statistical background to understand key techniques such as t-tests, ANOVA, repeated measures, analysis of covariance, multiple comparison tests, non-parametric and survival analysis. This is also the first text to describe technical aspects of InVivoStat, a powerful open-source software package developed by the authors to enable animal researchers to analyse their data and obtain informative results".. | ||
| 650 | 7 | |a animal models |2 cabt | |
| 650 | 7 | |a laboratory animals |2 cabt | |
| 650 | 7 | |a laboratory methods |2 cabt | |
| 650 | 7 | |a statistical analysis |2 cabt | |
| 650 | 7 | |a statistical data |2 cabt | |
| 650 | 7 | |a data processing |2 cabt | |
| 650 | 4 | |a Animal experimentation |x Statistical methods | |
| 650 | 4 | |a Experimental design | |
| 650 | 0 | 7 | |a Statistik |0 (DE-588)4056995-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Experimentauswertung |0 (DE-588)4153362-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Tierversuch |0 (DE-588)4060137-7 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Tierversuch |0 (DE-588)4060137-7 |D s |
| 689 | 0 | 1 | |a Experimentauswertung |0 (DE-588)4153362-8 |D s |
| 689 | 0 | 2 | |a Statistik |0 (DE-588)4056995-0 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Clark, Robin A. |e Verfasser |0 (DE-588)1049413024 |4 aut | |
| 856 | 4 | |u http://assets.cambridge.org/97811070/30787/cover/9781107030787.jpg |3 Cover image | |
| 856 | 4 | 2 | |m HBZ Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027652748&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-027652748 | ||
Datensatz im Suchindex
| _version_ | 1804152738012987392 |
|---|---|
| adam_text | Titel: The design and statistical analysis of animal experiments
Autor: Bate, Simon T
Jahr: 2014
Contents
Preface page xiii
Acknowledgments xv
1 Introduction 1
1.1 Structureofthisbook 3
1.1.1 Introductory sections 4
1.1.2 Approaches to consider when
setting up a new animal model 4
1.1.3 Approaches to consider when
generating hypotheses 5
1.1.4 Approaches to consider when
testing hypotheses 5
1.2 Statistical problems faced by animal
researchers 5
1.3 Pitfalls encountered when applying
statistics in practice 6
1.3.1 Pitfalls with experimental design 6
1.3.2 Pitfalls with randomisation 9
1.3.3 Pitfalls with Statistical analysis 10
1.3.4 Pitfalls when reporting animal
experiments 13
1.4 So where does statistics fit in? 15
1.5 The ARRTVE guidelines 15
2 Statistical concepts 18
2.1 Decision-making: the signal-to-noise ratio 18
2.2 Probability distributions 19
2.2.1 The frequency distribution 20
2.2.2 The density distribution 20
2.2.3 The probability distribution 21
2.2.4 The normal distribution 21
2.2.5 The chi-squared distribution 22
2.2.6 The f-distribution 22
2.2.7 The F-distribution 23
VI
Contents vii
2.3 The hypothesis testing procedure 23 3.2.8 Repeatedly measuring the
2.3.1 The null and alternative animal 45
hypotheses 23 3.3 Summaryofdesign types 46
2.3.2 The/?-value 25 3.3.1 Block designs 46
2.3.3 The significance level 25 3.3.2 Factorial designs 47
2.3.4 Significant stars 26 3.3.3 Dose-response designs 47
2.3.5 Type I and Type II errors 26 3.3.4 Nested designs 47
2.4 Exploratoryvs. confirmatory 3.3.5 Split-plot designs 48
experiments 28 3.3.6 Repeated measures and
2.5 The estimation process 29 dose-escalation designs 48
3.3.7 Designs applied in practice 48
Experimental design 30 3.4 Block designs 49
3.1 Why design experiments? 30 3.4.1 Practical reasons to block 49
3.1.1 Practical reasons 30 3.4.2 Statistical reasons to block 49
3.1.2 Statistical reasons: 3.4.2.1 Variance reduction 49
variability, the Signal and bias 31 3.4.2.2 Bias reduction 51
3.2 What does an experimental 3.4.3 How toblock 51
design involve? 32 3.4.4 Complete block designs 53
3.2.1 Variables toberecorded 32 3.4.4.1 Efficiency 53
3.2.1.1 Types of response 32 3.4.4.2 Randomisation 53
3.2.1.2 Reporting responses 34 3.4.4.3 Statistical analysis
3.2.1.3 Baseline responses 34 of block designs 54
3.2.1.4 Recording conditions 3.4.5 Incomplete block designs 54
during the experiment 35 3.4.6 Balanced incomplete
3.2.2 Setoftreatments 35 block design 55
3.2.3 The experimental unit and 3.4.6.1 Efficiency 55
the observational unit 36 3.4.6.2 Randomisation 55
3.2.4 Effects and factors 37 3.4.6.3 Statistical analysis 55
3.2.4.1 Defining factor 3.4.7 More than one block: the
level labeis 39 row-column block design 56
3.2.4.2 Defining the factors in 3.4.7.1 Efficiency 56
an experimental design 39 3.4.7.2 Randomisation 56
3.2.5 Fixed and random factors 39 3.4.7.3 Statistical analysis 56
3.2.5.1 Fixed factors 40 3.4.8 Row-column block
3.2.5.2 Random factors 40 designs based on Latin Squares 57
3.2.5.3 Random or fixed? 41 3.4.8.1 Efficiency 58
3.2.6 Categorical factors and 3.4.8.2 Randomisation 58
continuous factors 42 3,4.8.3 Statistical analysis 58
3.2.7 Crossed factors and 3.4.9 Crossover designs 59
nested factors 42 3.4.9.1 Complete crossover
3.2.7.1 Nested factors 42 designs 59
3.2.7.2 Crossed factors 43 3.4.9.2 Incomplete crossover
3.2.7.3 Partially crossed factors 45 designs 60
3.2.7.4 Designs containing nested 3.4.9.3 The benefitsof crossover
and crossed factors 45 designs 61
viii Contents
3.4.9.4 The issues with crossover 3.6.3.3 Adding an offset to
designs 62 the dose 88
3.4.9.5 Treatment carry-over 3.7 Nested designs 90
effects 62 3.7.1 Types of nested design 91
3.5 Factorial design 63 3.7.1.1 Single-order nested
3.5.1 Randomisation 64 design 91
3.5.2 Categorical factors and 3.7.1.2 Higher-order
interactions 64 nested design 91
3.5.3 Small factorial designs 66 3.7.2 Sample size and power 93
3.5.4 Large factorial designs 68 3.7.2.1 Factors that influence
3.5.4.1 Strategieswhensetting sample size 93
up a new animal model 68 3.7.2.2 Calculating sample
3.5.4.2 Graphical representation sizes 95
of large factorial 3.7.2.3 When not to calculate
designs 70 the Statistical power 97
3.5.4.3 Hidden replication 70 3.7.3 Higher-order nested
3.5.4.4 Fractional factorial designs 99
designs to reduce 3.7.3.1 Identifying nested
animal use 72 factors 99
3.5.4.5 Two-stage procedure to 3.7.3.2 Investigating the sources
reduce animal use 75 of variability in higher-
3.5.5 Factorial designs with order nested designs 101
continuous factors 77 3.7.3.3 Variance components:
3.5.5.1 Strategies for setting up a estimating the observa-
new animal model 78 tional unit variability 102
3.5.5.2 Drug combination 3.7.3.4 Predicting the
studies 81 experimental unit
3.5.5.3 Continuous vs. variability 103
categorical factors 83 3.7.3.5 Investigating alternative
3.5.6 Final thoughts on factorial nested designs 105
designs 83 3.7.3.6 Pseudo-replication 106
3.6 Dose-response designs 84 3.8 Repeated measures and dose-
3.6.1 The four-and five- escalation designs 110
Parameter logistic curves 84 3.8.1 Repeated measures
3.6.2 Experimental design designs 110
considerations 85 3.8.1.1 The repeated factor 110
3.6.2.1 Increasing the number 3.8.1.2 The core experimental
ofdoses 86 design 112
3.6.2.2 Decreasing the number 3.8.1.3 Nested repeated
ofanimals 86 measures designs 112
3.6.3 Including the control group 87 3.8.1.4 More complex repeated
3.6.3.1 Analysing a change from measures designs 114
the control response 87 3.8.2 Dose-escalation designs 116
3.6.3.2 Using a dual Statistical 3.8.2.1 More complex
model 88 dose-escalation designs 117
Contents ix
3.9 Split-plot designs 117 5.2.1.3 The predicted mean 137
3.9.1 Animalsaswholeplots 117 5.2.1.4 The geometric mean 137
3.9.2 Animals as subplots 118 5.2.2 Parametric measures of
3.10 Experimental designs in practice 119 spread 138
3.11 A good design shouldresult in... 120 5.2.2.1 Variance 138
5.2.2.2 Standard deviation 138
5.2.2.3 Standard error of the
mean 138
5.2.2.4 Confidence intervals 139
5.2.2.5 Coefficientof
Variation 139
5.2.3 Non-parametric measures
oflocation 139
5.2.4 Non-parametric measures
of spread 140
5.3 Graphical tools 140
5.3.1 Scatterplots 140
5.3.2 Box-plots 142
5.3.3 Histograms 143
5.3.4 Categorised case profiles
plot 144
5.3.5 Means with SEMs plot 145
5.3.5.1 Problems with the
means with SEMs plot 145
5.3.5.2 Benefits ofthe means
with SEMs plot 151
5.4 Parametric analysis 151
5.4.1 Parametric assumptions 152
5.4.1.1 Numericand
continuous responses 152
5.4.1.2 Normally distributed
residuals 153
5.4.1.3 Homogeneity of
variance 155
Statistical analysis 132 5.4.1.4 Independence ofthe
5.1 Introduction 132 responses 158
5.1.1 InVivoStat 133 5.4.1.5 Removalof outliers 159
5.1.2 Arecommendedfive-stage 5.4.1.6 Additivity 162
parametric analysis procedure 133 5.4.2 The t-test 163
5.2 Summary statistics 135 5.4.2.1 The unpaired t-test 163
5.2.1 Parametric measures of 5.4.2.2 When not to use an
location 135 unpaired t-test 165
5.2.1.1 The true mean and the 5.4.2.3 The paired f-test 167
sample mean 135 5.4.2.4 Randomisation and the
5.2.1.2 The observed mean 136 paired t-test 168
Randomisation 122
4.1 Practical reasons to randomise 122
4.1.1 Bias reduction 122
4.1.1.1 Removing unforeseen
trends 123
4.1.1.2 Humans are systematic 123
4.1.2 Blinding 124
4.2 Statistical reasons to randomise 124
4.2.1 Estimating the variability 125
4.2.2 Deciding upon the
Statistical analysis strategy 125
4.2.2.1 Including interactions
in the Statistical model 126
4.2.2.2 Including blocking
factors 127
4.2.3 Repeatedlymeasured
responses 127
4.2.3.1 Repeated factors and
randomised factors 127
4.2.3.2 Block and dose-escalation
designs 127
4.2.3.3 Crossover and
dose-escalation designs 128
4.2.3.4 Including interactions
involving the repeated
factor 129
4.3 What to randomise 129
4.4 How to randomise 130
Contents
5.4.3 Analysis of variance 5.4.6.5 Predicted group means 203
(ANOVA) 168 5.4.6.6 Assumptions for
5.4.3.1 One-way ANOVA 169 ANCOVA 204
5.4.3.2 Including the positive 5.4.6.7 Strategy for when the
control 173 independence
5.4.3.3 Two-way ANOVA 174 assumption does
5.4.3.4 Two-way vs. one-way not hold 207
ANOVA 176 5.4.6.8 ANCOVA and stratified
5.4.3.5 Dealing with missing randomisation 208
factor combinations 177 5.4.6.9 Change from baseline
5.4.4 Repeated measures responses 208
analysis 179 5.4.7 Regression analysis 211
5.4.4.1 Categorised case 5.4.8 Multiple comparison
profilesplot 181 procedures 212
5.4.4.2 Analysis ofsummary 5.4.8.1 Theriskoffinding
measures 181 false positives and false
5.4.4.3 Repeated measures negatives 212
analysis 189 5.4.8.2 Choosing the family
5.4.4.4 The mixed-model oftests 214
approach vs. the ANOVA- 5.4.8.3 Unadjusted tests 215
based approach 191 5.4.8.4 Stepwise multiple
5.4.4.5 Advantages and comparison procedures
disadvantages ofthe that control the FDR 218
repeated measures 5.4.8.5 Simultaneous multiple
analysis 195 comparison procedures
5.4.5 Predicted means from the that control the FWE 218
parametric analysis 196 5.4.8.6 Stepwise multiple
5.4.5.1 Least Square (predicted) comparison procedures
means 196 based on group
5.4.5.2 Variability of the least differences that control
Square (predicted) the FWE 222
means 197 5.4.8.7 Stepwise-based multiple
5.4.5.3 Geometrie means and comparison procedures
confidence intervals 197 based on p-values that
5.4.5.4 Reliability ofthe control the FWE 223
predicted means 198 5.4.8.8 The gateway ANOVA
5.4.6 Analysis ofcovariance approach 224
(ANCOVA) 199 5.4.8.9 Multiple comparison
5.4.6.1 What is a covariate? 200 procedures in Statistical
5.4.6.2 Best-fit lines and Software packages 227
predicted lines 201 5.4.8.10 Recommendations 228
5.4.6.3 Categorised scatterplot 201 5.5 Other useful analyses 228
5.4.6.4 Predictions from 5.5.1 Non-parametric analyses 228
ANCOVA 202 5.5.1.1 When to use a
Contents xi
non-parametric test 229 6.3.3.5 Analysis of designs
5.5.1.2 Non-parametric tests 230 with missing factor
5.5.2 Testing the difference combinations 252
between proportions 231 6.4 Repeated Measures Parametric
5.5.2.1 Analysis procedure 232 Analysis module 252
5.5.2.2 Chi-squared test 232 6.4.1 Analysis procedure 252
5.5.2.3 Fisher s exact test 233 6.4.2 Worked example 255
5.5.3 Survival analysis 234 6.4.3 Technical details 255
5.5.3.1 The survival function 235 6.5 P-Value Adjustment module 258
5.5.3.2 Comparing groups 236 6.5.1 Analysis procedure 259
6.5.2 Worked example 259
Analysis using InVivoStat 238 6.6 Non-Parametric Analysis module 260
6.1 Getting started 238 6.6.1 Analysis procedure 260
6.1.1 Data import 238 6.6.2 Worked example 262
6.1.1.1 Single measure 6.7 Graphics module 262
format 238 6.7.1 Analysis procedure 262
6.1.1.2 Repeated measures 6.7.2 Example plots 263
format 239 6.8 Power Analysis module 263
6.1.2 Importing a dataset into 6.8.1 Analysis procedure 263
InVivoStat: Excel Import 240 6.8.2 Worked example 265
6.1.3 Importing a dataset into 6.9 Unpaired f-test Analysis module 267
InVivoStat: text file import 240 6.9.1 Analysis procedure 267
6.1.4 Data management 240 6.9.2 Worked example 271
6.1.5 Running an analysis 240 6.10 Paired f-test/within-subject
6.1.6 Warning and error messages 241 Analysis module 272
6.1.7 Log file 241 6.10.1 Analysis procedure 272
6.1.8 Exporting results 241 6.10.2 Worked example 276
6.2 Summary Statistics module 241 6.11 Dose-Response Analysis module 277
6.2.1 Analysis procedure 242 6.11.1 Technical details on
6.2.2 Worked example 243 curvefitting 277
6.3 Single Measure Parametric 6.11.2 Fittinglogisticcurvestodata 278
Analysis module 243 6.11.3 Analysis of quantitative
6.3.1 Analysis procedure 243 assays 278
6.3.2 Worked example 245 6.11.4 Analysis procedure 279
6.3.3 Technical details 248 6.11.5 Worked example: a
6.3.3.1 Analysis of large biological assay 281
factorial experiments 248 6.11.6 User-defined equation
6.3.3.2 Analysis ofsmall Option 282
factorial experiments 248 6.12 Chi-squared Test and Fisher s
6.3.3.3 Analysis of experiments Exact Test module 282
involving blocking 6.12.1 Analysis procedure 283
factors 249 6.12.2 Worked example 284
6.3.3.4 Analysis of crossover 6.13 R-Runner module 285
trials 251 6.14 Nested Design Analysis module 285
xii Contents
6.14.1 Analysis procedure 286 7 Conclusion 293
6.14.2 Worked example 289
6.15 Survival Analysis module 289 Glossary 295
6.15.1 Analysis procedure 289
6.15.2 Worked example 291
References 297
Index 303
|
| any_adam_object | 1 |
| author | Bate, Simon T. 1975- Clark, Robin A. |
| author_GND | (DE-588)1049412885 (DE-588)1049413024 |
| author_facet | Bate, Simon T. 1975- Clark, Robin A. |
| author_role | aut aut |
| author_sort | Bate, Simon T. 1975- |
| author_variant | s t b st stb r a c ra rac |
| building | Verbundindex |
| bvnumber | BV042214112 |
| callnumber-first | H - Social Science |
| callnumber-label | HV4930 |
| callnumber-raw | HV4930 |
| callnumber-search | HV4930 |
| callnumber-sort | HV 44930 |
| callnumber-subject | HV - Social Pathology, Criminology |
| classification_rvk | WC 4900 |
| ctrlnum | (OCoLC)891523681 (DE-599)BVBBV042214112 |
| dewey-full | 590.72/4 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 590 - Animals |
| dewey-raw | 590.72/4 |
| dewey-search | 590.72/4 |
| dewey-sort | 3590.72 14 |
| dewey-tens | 590 - Animals |
| discipline | Biologie |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03315nam a2200565 c 4500</leader><controlfield tag="001">BV042214112</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20200903 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">141128s2014 ad|| |||| 00||| eng d</controlfield><datafield tag="010" ind1=" " ind2=" "><subfield code="a">013033851</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781107030787</subfield><subfield code="9">978-1-107-03078-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781107690943</subfield><subfield code="9">978-1-107-69094-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)891523681</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042214112</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-578</subfield><subfield code="a">DE-Eb1</subfield><subfield code="a">DE-20</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">HV4930</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">590.72/4</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WC 4900</subfield><subfield code="0">(DE-625)148105:13423</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">W 20.55</subfield><subfield code="2">nlm</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bate, Simon T.</subfield><subfield code="d">1975-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1049412885</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">The design and statistical analysis of animal experiments</subfield><subfield code="c">Simon T. Bate and Robin A. Clark</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge Univ. Press</subfield><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XV, 310 S.</subfield><subfield code="b">Ill., graph. Darst.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (pages 297-302) and index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"Written for animal researchers, this book provides a comprehensive guide to the design and statistical analysis of animal experiments. It has long been recognised that the proper implementation of these techniques helps reduce the number of animals needed. By using real-life examples to make them more accessible, this book explains the statistical tools employed by practitioners. A wide range of design types are considered, including block, factorial, nested, cross-over, dose-escalation and repeated measures and techniques are introduced to analyse the experimental data generated. Each analysis technique is described in non-mathematical terms, helping readers without a statistical background to understand key techniques such as t-tests, ANOVA, repeated measures, analysis of covariance, multiple comparison tests, non-parametric and survival analysis. This is also the first text to describe technical aspects of InVivoStat, a powerful open-source software package developed by the authors to enable animal researchers to analyse their data and obtain informative results"..</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">animal models</subfield><subfield code="2">cabt</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">laboratory animals</subfield><subfield code="2">cabt</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">laboratory methods</subfield><subfield code="2">cabt</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">statistical analysis</subfield><subfield code="2">cabt</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">statistical data</subfield><subfield code="2">cabt</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">data processing</subfield><subfield code="2">cabt</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Animal experimentation</subfield><subfield code="x">Statistical methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Experimental design</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Experimentauswertung</subfield><subfield code="0">(DE-588)4153362-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Tierversuch</subfield><subfield code="0">(DE-588)4060137-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Tierversuch</subfield><subfield code="0">(DE-588)4060137-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Experimentauswertung</subfield><subfield code="0">(DE-588)4153362-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Clark, Robin A.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1049413024</subfield><subfield code="4">aut</subfield></datafield><datafield tag="856" ind1="4" ind2=" "><subfield code="u">http://assets.cambridge.org/97811070/30787/cover/9781107030787.jpg</subfield><subfield code="3">Cover image</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">HBZ Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027652748&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027652748</subfield></datafield></record></collection> |
| id | DE-604.BV042214112 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T01:15:29Z |
| institution | BVB |
| isbn | 9781107030787 9781107690943 |
| language | English |
| lccn | 013033851 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027652748 |
| oclc_num | 891523681 |
| open_access_boolean | |
| owner | DE-578 DE-Eb1 DE-20 |
| owner_facet | DE-578 DE-Eb1 DE-20 |
| physical | XV, 310 S. Ill., graph. Darst. |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Cambridge Univ. Press |
| record_format | marc |
| spelling | Bate, Simon T. 1975- Verfasser (DE-588)1049412885 aut The design and statistical analysis of animal experiments Simon T. Bate and Robin A. Clark Cambridge Cambridge Univ. Press 2014 XV, 310 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references (pages 297-302) and index "Written for animal researchers, this book provides a comprehensive guide to the design and statistical analysis of animal experiments. It has long been recognised that the proper implementation of these techniques helps reduce the number of animals needed. By using real-life examples to make them more accessible, this book explains the statistical tools employed by practitioners. A wide range of design types are considered, including block, factorial, nested, cross-over, dose-escalation and repeated measures and techniques are introduced to analyse the experimental data generated. Each analysis technique is described in non-mathematical terms, helping readers without a statistical background to understand key techniques such as t-tests, ANOVA, repeated measures, analysis of covariance, multiple comparison tests, non-parametric and survival analysis. This is also the first text to describe technical aspects of InVivoStat, a powerful open-source software package developed by the authors to enable animal researchers to analyse their data and obtain informative results".. animal models cabt laboratory animals cabt laboratory methods cabt statistical analysis cabt statistical data cabt data processing cabt Animal experimentation Statistical methods Experimental design Statistik (DE-588)4056995-0 gnd rswk-swf Experimentauswertung (DE-588)4153362-8 gnd rswk-swf Tierversuch (DE-588)4060137-7 gnd rswk-swf Tierversuch (DE-588)4060137-7 s Experimentauswertung (DE-588)4153362-8 s Statistik (DE-588)4056995-0 s DE-604 Clark, Robin A. Verfasser (DE-588)1049413024 aut http://assets.cambridge.org/97811070/30787/cover/9781107030787.jpg Cover image HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027652748&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Bate, Simon T. 1975- Clark, Robin A. The design and statistical analysis of animal experiments animal models cabt laboratory animals cabt laboratory methods cabt statistical analysis cabt statistical data cabt data processing cabt Animal experimentation Statistical methods Experimental design Statistik (DE-588)4056995-0 gnd Experimentauswertung (DE-588)4153362-8 gnd Tierversuch (DE-588)4060137-7 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4153362-8 (DE-588)4060137-7 |
| title | The design and statistical analysis of animal experiments |
| title_auth | The design and statistical analysis of animal experiments |
| title_exact_search | The design and statistical analysis of animal experiments |
| title_full | The design and statistical analysis of animal experiments Simon T. Bate and Robin A. Clark |
| title_fullStr | The design and statistical analysis of animal experiments Simon T. Bate and Robin A. Clark |
| title_full_unstemmed | The design and statistical analysis of animal experiments Simon T. Bate and Robin A. Clark |
| title_short | The design and statistical analysis of animal experiments |
| title_sort | the design and statistical analysis of animal experiments |
| topic | animal models cabt laboratory animals cabt laboratory methods cabt statistical analysis cabt statistical data cabt data processing cabt Animal experimentation Statistical methods Experimental design Statistik (DE-588)4056995-0 gnd Experimentauswertung (DE-588)4153362-8 gnd Tierversuch (DE-588)4060137-7 gnd |
| topic_facet | animal models laboratory animals laboratory methods statistical analysis statistical data data processing Animal experimentation Statistical methods Experimental design Statistik Experimentauswertung Tierversuch |
| url | http://assets.cambridge.org/97811070/30787/cover/9781107030787.jpg http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027652748&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT batesimont thedesignandstatisticalanalysisofanimalexperiments AT clarkrobina thedesignandstatisticalanalysisofanimalexperiments |