Experimental design for the life sciences:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Oxford
Oxford Univ. Press
2006
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVIII, 162 S. Ill., graph. Darst. |
| ISBN: | 019928511X 9780199285112 |
Internformat
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Datensatz im Suchindex
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| adam_text | EXPERIMENTAL DESIGN FOR THE LIFE SCIENCES GRAEME D. RUXTON UNIVERSITY OF
GLASGOW NICK COLEGRAVE UNIVERSITY OF EDINBURGH UNIVERSITATS- UND LANDOS-
BIBLIOTHEK DARMSTADT BIBIIOTHEK OLOLOGIO OXPORD UNIVERSITY PRESS
CONTENTS 1 WHY YOU NEED TO CARE ABOUT DESIGN 1.1 WHY EXPERIMENTS NEED TO
BE DESIGNED 1 1.2 THE COSTS OF POOR DESIGN 3 1.2.1 TIME AND MONEY 3
1.2.2 ETHICAL ISSUES 4 1.3 THE RELATIONSHIP BETWEEN EXPERIMENTAL DESIGN
AND STATISTICS 5 1.4 WHY GOOD EXPERIMENTAL DESIGN IS PARTICULARLY
IMPORTANT TO LIFE SCIENTISTS 5 1.4.1 RANDOM VARIATION 6 1.4.2
CONFOUNDING FACTORS 6 SUMMARY 7 2 STARTING WITH A WELL-DEFINED
HYPOTHESIS 2.1 WHY YOUR EXPERIMENT SHOULD BE FOCUSED: QUESTIONS,
HYPOTHESES AND PREDICTIONS 9 2.1.1 AN EXAMPLE OF MOVING FROM A QUESTION
TO HYPOTHESES, AND THEN TO AN EXPERIMENTAL DESIGN 1 1 2.1.2 AN EXAMPLE
OF MULTIPLE HYPOTHESES 11 2.2 PRODUCING THE STRONGEST EVIDENCE WITH
WHICH TO CHALLENGE A HYPOTHESIS 14 2.2.1 INDIRECT MEASURES 15 2.2.2
CONSIDERING ALL POSSIBLE OUTCOMES OF AN EXPERIMENT 16 2.3 SATISFYING
SCEPTICS: THE DEVIL S ADVOCATE 17 2.4 THE IMPORTANCE OF A PILOT STUDY
AND PRELIMINARY DATA 18 2.4.1 MAKING SURE THAT YOU ARE ASKING A SENSIBLE
QUESTION 18 2.4.2 MAKING SURE THAT YOUR TECHNIQUES WORK 20 2.5
EXPERIMENTAL MANIPULATION VERSUS NATURAL VARIATION 22 2.5.1 AN EXAMPLE
OF A HYPOTHESIS THAT COULD BE TACKLED BY EITHER MANIPULATION OR
CORRELATION 22 2.5.2 ARGUMENTS FOR DOING A CORRELATIONAL STUDY 23
2.5.3 ARGUMENTS FOR DOING A MANIPULATIVE STUDY - 25 XVI CONTENTS 2.5.4
SITUATIONS WHERE MANIPULATION IS IMPOSSIBLE * 28 2.6 DECIDING WHETHER TO
WORK IN THE FIELD OR THE LABORATORY 30 2.7 IN VIVO VERSUS IN VITRO
STUDIES 32 2.8 THERE IS NO PERFECT STUDY 33 SUMMARY 34 3
BETWEEN-INDIVIDUAL VARIATION, REPLICATION AND SAMPLING 3.1
BETWEEN-INDIVIDUAL VARIATION 36 3.2 REPLICATION 37 3.3 PSEUDOREPLICATION
43 3.3.1 EXPLAINING WHAT PSEUDOREPLICATION IS . * . 43 3.3.2 COMMON
SOURCES OF PSEUDOREPLICATION * . 45 3.3.3 DEALING WITH PSEUDOREPLICATION
* ** 49 3.3.4 ACCEPTING THAT SOMETIMES PSEUDOREPLICATION IS UNAVOIDABLE.
I . 5 1 3.3.5 PSEUDOREPLICATION, THIRD VARIABLES AND CONFOUNDING
VARIABLES 52 3.3.6 COHORT EFFECTS, CONFOUNDING VARIABLES AND
CROSS-SECTIONAL STUDIES * - 53 3.4 RANDOMIZATION 54 3.4.1 WHY YOU OFTEN
WANT A RANDOM SAMPLE 55 3.4.2 HAPHAZARD SAMPLING * 56 3.4.3
SELF-SELECTION 57 3.4.4 SOME PITFALLS ASSOCIATED WITH RANDOMIZATION
PROCEDURES 58 3.4.5 RANDOMIZING THE ORDER IN WHICH YOU TREAT REPLICATES
58 3.4.6 RANDOM SAMPLES AND REPRESENTATIVE SAMPLES * * * .* - 59
3.5 SELECTING THE APPROPRIATE NUMBER OF REPLICATES . 60 3.5.1 EDUCATED
GUESSWORK . 61 3.5.2 FORMAL POWER ANALYSIS 61 3.5.3 FACTORS AFFECTING
THE POWER OF AN EXPERIMENT 6 2 3.5.4 RELATIONSHIP BETWEEN POWER AND
TYPE I ARID TYPE II ERRORS * * * * * . . * * * 63 SUMMARY 68 4 DIFFERENT
EXPERIMENTAL DESIGNS . 4.1 CONTROLS . . , . 4.1.1 DIFFERENT TYPES OF
CONTROL . . . 4.1.2 BLIND PROCEDURES 4.1.3 MAKING SURE THAT THE CONTROL
IS AS RELIABLE AS POSSIBLE 4.1.4 THE ETHICS OF CONTROLLING ,. . . - . .
. . 4.1.5 SITUATIONS WHERE A CONTROL IS NOT REQUIRED CONTENTS 4.2
COMPLETELY RANDOMIZED AND FACTORIAL EXPERIMENTS 4.2.1 EXPERIMENTS WITH
SEVERAL FACTORS 4.2.2 CONFUSING LEVELS AND FACTORS 4.2.3 PROS AND CONS
OF COMPLETE RANDOMIZATION 4.3 BLOCKING 4.3.1 BLOCKING ON INDIVIDUAL
CHARACTERS, SPACE AND TIME 4.3.2 THE PROS AND CONS OF BLOCKING 4.3.3
PAIRED DESIGNS 4.3.4 HOW TO SELECT BLOCKS 4.3.5 COVARIATES 4.4
WITHIN-SUBJECT DESIGNS 4.4.1 THE ADVANTAGES OF A WITHIN-SUBJECT DESIGN
4.4.2 THE DISADVANTAGES OF A WITHIN-SUBJECT DESIGN 4.4.3 ISN T
REPEATEDLY MEASURING THE SAME INDIVIDUAL PSEUDOREPLICATION? 4.4.4 WITH
MULTIPLE TREATMENTS, WITHIN-SUBJECT EXPERIMENTS CAN TAKE A LONG TIME
4.4.5 WHICH SEQUENCES SHOULD YOU USE? 4.5 SPLIT-PLOT DESIGNS (SOMETIMES
CALLED SPLIT-UNIT DESIGNS) 4.6 THINKING ABOUT THE STATISTICS SUMMARY 5
TAKING MEASUREMENTS 5.1 CALIBRATION 102 5.2 INACCURACY AND IMPRECISION
103 5.3 INTRA-OBSERVER VARIABILITY 105 5.3.1 DESCRIBING THE PROBLEM 105
5.3.2 TACKLING THE PROBLEM 106 5.3.3 REPEATABILITY 106 5.3.4 REMEMBER,
YOU CAN BE CONSISTENT BUT STILL CONSISTENTLY WRONG . 108 5.4
INTER-OBSERVER VARIABILITY 109 5.4.1 DESCRIBING THE PROBLEM 109 5.4.2
TACKLING THE PROBLEM 109 5.5 DEFINING CATEGORIES 110 5.6 OBSERVER
EFFECTS 110 5.7 RECORDING DATA 112 5.7.1 DON TTRYTO RECORD TOO MUCH
INFORMATION AT ONCE 112 5.7.2 BEWARE OF SHORTHAND CODES 112 5.7.3 KEEP
MORE THAN ONE COPY OF YOUR DATA 113 5.7.4 WRITE OUT YOUR EXPERIMENTAL
PROTOCOL FORMALLY AND IN DETAIL, AND KEEP A DETAILED FIELD JOURNAL OR
LAB BOOK 113 5.7.5 DON T OVER-WORK 113 XVIII CONTENTS 5.8 COMPUTERS AND
AUTOMATED DATA COLLECTION 114 5.9 FLOOR AND CEILING EFFECTS 114 5.10
OBSERVER BIAS 116 5.11* TAKING MEASUREMENTS OF HUMANS AND ANIMALS IN THE
LABORATORY 116 SUMMARY 117 6 FINAL THOUGHTS 6.1 HOW TO SELECT THE LEVELS
FOR A TREATMENT 119 6.2 SUBSAMPLING: MORE WOODS OR MORE TREES? 121 6.3
USING UNBALANCED GROUPS FOR ETHICAL REASONS 123 6.4 OTHER SAMPLING
SCHEMES 125 6.4.1 SEQUENTIAL SAMPLING 126 6.4.2 STRATIFIED SAMPLING 126
6.4.3 SYSTEMATIC SAMPLING 127 6.5 LATIN SQUARE DESIGNS 129 6.6 MORE ON
INTERACTIONS 130 6.6.1 COVARIATES CAN INTERACT TOO 130 6.6.2 THE
IMPORTANCE OF INTERACTIONS (AND THE INTERACTION FALLACY) 132 6.7 DEALING
WITH HUMAN SUBJECTS 134 6.7.1 DECEPTION 136 6.7.2 COLLECTING DATA
WITHOUT PERMISSION * 137 6.7.3 CONFIDENTIALITY 137 6.7.4 DISCRETION 138
6.7.5 ETHICAL GUIDELINES . 138 6.7.6 VOLUNTEERS : 139 6.7.7 HONESTY OF
SUBJECTS 139 6.7.8 THERE IS NO PERFECT STUDY: A REPRISE 140 SUMMARY 140
SAMPLE ANSWERS TO SELF-TEST QUESTIONS 142 FLOW CHART ON EXPERIMENTAL
DESIGN 153 BIBLIOGRAPHY 158 INDEX 161
|
| adam_txt |
EXPERIMENTAL DESIGN FOR THE LIFE SCIENCES GRAEME D. RUXTON UNIVERSITY OF
GLASGOW NICK COLEGRAVE UNIVERSITY OF EDINBURGH UNIVERSITATS- UND LANDOS-
BIBLIOTHEK DARMSTADT BIBIIOTHEK OLOLOGIO OXPORD UNIVERSITY PRESS
CONTENTS 1 WHY YOU NEED TO CARE ABOUT DESIGN 1.1 WHY EXPERIMENTS NEED TO
BE DESIGNED 1 1.2 THE COSTS OF POOR DESIGN 3 1.2.1 TIME AND MONEY 3
1.2.2 ETHICAL ISSUES 4 1.3 THE RELATIONSHIP BETWEEN EXPERIMENTAL DESIGN
AND STATISTICS 5 1.4 WHY GOOD EXPERIMENTAL DESIGN IS PARTICULARLY
IMPORTANT TO LIFE SCIENTISTS 5 1.4.1 RANDOM VARIATION 6 1.4.2
CONFOUNDING FACTORS 6 SUMMARY 7 2 STARTING WITH A WELL-DEFINED
HYPOTHESIS 2.1 WHY YOUR EXPERIMENT SHOULD BE FOCUSED: QUESTIONS,
HYPOTHESES AND PREDICTIONS 9 2.1.1 AN EXAMPLE OF MOVING FROM A QUESTION
TO HYPOTHESES, AND THEN TO AN EXPERIMENTAL DESIGN ' 1 1 2.1.2 AN EXAMPLE
OF MULTIPLE HYPOTHESES 11 2.2 PRODUCING THE STRONGEST EVIDENCE WITH
WHICH TO CHALLENGE A HYPOTHESIS 14 2.2.1 INDIRECT MEASURES 15 2.2.2
CONSIDERING ALL POSSIBLE OUTCOMES OF AN EXPERIMENT 16 2.3 SATISFYING
SCEPTICS: THE DEVIL'S ADVOCATE 17 2.4 THE IMPORTANCE OF A PILOT STUDY
AND PRELIMINARY DATA 18 2.4.1 MAKING SURE THAT YOU ARE ASKING A SENSIBLE
QUESTION 18 2.4.2 MAKING SURE THAT YOUR TECHNIQUES WORK 20 2.5
EXPERIMENTAL MANIPULATION VERSUS NATURAL VARIATION 22 2.5.1 AN EXAMPLE
OF A HYPOTHESIS THAT COULD BE TACKLED BY EITHER MANIPULATION OR
CORRELATION ' ' 22 2.5.2 ARGUMENTS FOR DOING A CORRELATIONAL STUDY 23
2.5.3 ARGUMENTS FOR DOING A MANIPULATIVE STUDY - 25 XVI CONTENTS 2.5.4
SITUATIONS WHERE MANIPULATION IS IMPOSSIBLE * 28 2.6 DECIDING WHETHER TO
WORK IN THE FIELD OR THE LABORATORY 30 2.7 IN VIVO VERSUS IN VITRO
STUDIES 32 2.8 THERE IS NO PERFECT STUDY 33 SUMMARY 34 3
BETWEEN-INDIVIDUAL VARIATION, REPLICATION AND SAMPLING 3.1
BETWEEN-INDIVIDUAL VARIATION 36 3.2 REPLICATION 37 3.3 PSEUDOREPLICATION
43 3.3.1 EXPLAINING WHAT PSEUDOREPLICATION IS . * . ' 43 3.3.2 COMMON
SOURCES OF PSEUDOREPLICATION * . 45 3.3.3 DEALING WITH PSEUDOREPLICATION
* ** 49 3.3.4 ACCEPTING THAT SOMETIMES PSEUDOREPLICATION IS UNAVOIDABLE.
I . 5 1 3.3.5 PSEUDOREPLICATION, THIRD VARIABLES AND CONFOUNDING
VARIABLES 52 3.3.6 COHORT EFFECTS, CONFOUNDING VARIABLES AND
CROSS-SECTIONAL STUDIES * - 53 3.4 RANDOMIZATION 54 3.4.1 WHY YOU OFTEN
WANT A RANDOM SAMPLE 55 3.4.2 HAPHAZARD SAMPLING * 56 3.4.3
SELF-SELECTION 57 3.4.4 SOME PITFALLS ASSOCIATED WITH RANDOMIZATION
PROCEDURES 58 3.4.5 RANDOMIZING THE ORDER IN WHICH YOU TREAT REPLICATES
58 3.4.6 RANDOM SAMPLES AND REPRESENTATIVE SAMPLES * * " ' '* .* " - 59
3.5 SELECTING THE APPROPRIATE NUMBER OF REPLICATES . 60 3.5.1 EDUCATED
GUESSWORK . 61 3.5.2 FORMAL POWER ANALYSIS ' 61 3.5.3 FACTORS AFFECTING
THE POWER OF AN EXPERIMENT ' 6 2 3.5.4 RELATIONSHIP BETWEEN POWER AND
TYPE I ARID TYPE II ERRORS *'* * * * . . * * * 63 SUMMARY 68 4 DIFFERENT
EXPERIMENTAL DESIGNS . 4.1 CONTROLS . . , . 4.1.1 DIFFERENT TYPES OF
CONTROL . . . 4.1.2 BLIND PROCEDURES 4.1.3 MAKING SURE THAT THE CONTROL
IS AS RELIABLE AS POSSIBLE 4.1.4 THE ETHICS OF CONTROLLING ,. . . - . .
. ' . 4.1.5 SITUATIONS WHERE A CONTROL IS NOT REQUIRED CONTENTS 4.2
COMPLETELY RANDOMIZED AND FACTORIAL EXPERIMENTS 4.2.1 EXPERIMENTS WITH
SEVERAL FACTORS 4.2.2 CONFUSING LEVELS AND FACTORS 4.2.3 PROS AND CONS
OF COMPLETE RANDOMIZATION 4.3 BLOCKING 4.3.1 BLOCKING ON INDIVIDUAL
CHARACTERS, SPACE AND TIME 4.3.2 THE PROS AND CONS OF BLOCKING 4.3.3
PAIRED DESIGNS 4.3.4 HOW TO SELECT BLOCKS 4.3.5 COVARIATES 4.4
WITHIN-SUBJECT DESIGNS 4.4.1 THE ADVANTAGES OF A WITHIN-SUBJECT DESIGN
4.4.2 THE DISADVANTAGES OF A WITHIN-SUBJECT DESIGN 4.4.3 ISN'T
REPEATEDLY MEASURING THE SAME INDIVIDUAL PSEUDOREPLICATION? 4.4.4 WITH
MULTIPLE TREATMENTS, WITHIN-SUBJECT EXPERIMENTS CAN TAKE A LONG TIME
4.4.5 WHICH SEQUENCES SHOULD YOU USE? 4.5 SPLIT-PLOT DESIGNS (SOMETIMES
CALLED SPLIT-UNIT DESIGNS) 4.6 THINKING ABOUT THE STATISTICS SUMMARY 5
TAKING MEASUREMENTS 5.1 CALIBRATION 102 5.2 INACCURACY AND IMPRECISION
103 5.3 INTRA-OBSERVER VARIABILITY 105 5.3.1 DESCRIBING THE PROBLEM 105
5.3.2 TACKLING THE PROBLEM 106 5.3.3 REPEATABILITY 106 5.3.4 REMEMBER,
YOU CAN BE CONSISTENT BUT STILL CONSISTENTLY WRONG . 108 5.4
INTER-OBSERVER VARIABILITY 109 5.4.1 DESCRIBING THE PROBLEM 109 5.4.2
TACKLING THE PROBLEM 109 5.5 DEFINING CATEGORIES 110 5.6 OBSERVER
EFFECTS 110 5.7 RECORDING DATA 112 5.7.1 DON'TTRYTO RECORD TOO MUCH
INFORMATION AT ONCE 112 5.7.2 BEWARE OF SHORTHAND CODES 112 5.7.3 KEEP
MORE THAN ONE COPY OF YOUR DATA 113 5.7.4 WRITE OUT YOUR EXPERIMENTAL
PROTOCOL FORMALLY AND IN DETAIL, AND KEEP A DETAILED FIELD JOURNAL OR
LAB BOOK 113 5.7.5 DON'T OVER-WORK 113 XVIII CONTENTS 5.8 COMPUTERS AND
AUTOMATED DATA COLLECTION 114 5.9 FLOOR AND CEILING EFFECTS 114 5.10
OBSERVER BIAS 116 5.11* TAKING MEASUREMENTS OF HUMANS AND ANIMALS IN THE
LABORATORY 116 SUMMARY 117 6 FINAL THOUGHTS 6.1 HOW TO SELECT THE LEVELS
FOR A TREATMENT 119 6.2 SUBSAMPLING: MORE WOODS OR MORE TREES? 121 6.3
USING UNBALANCED GROUPS FOR ETHICAL REASONS 123 6.4 OTHER SAMPLING
SCHEMES 125 6.4.1 SEQUENTIAL SAMPLING 126 6.4.2 STRATIFIED SAMPLING 126
6.4.3 SYSTEMATIC SAMPLING 127 6.5 LATIN SQUARE DESIGNS 129 6.6 MORE ON
INTERACTIONS 130 6.6.1 COVARIATES CAN INTERACT TOO 130 6.6.2 THE
IMPORTANCE OF INTERACTIONS (AND THE INTERACTION FALLACY) 132 6.7 DEALING
WITH HUMAN SUBJECTS 134 6.7.1 DECEPTION 136 6.7.2 COLLECTING DATA
WITHOUT PERMISSION * 137 6.7.3 CONFIDENTIALITY 137 6.7.4 DISCRETION 138
6.7.5 ETHICAL GUIDELINES . 138 6.7.6 VOLUNTEERS : 139 6.7.7 HONESTY OF
SUBJECTS 139 6.7.8 THERE IS NO PERFECT STUDY: A REPRISE 140 SUMMARY 140
SAMPLE ANSWERS TO SELF-TEST QUESTIONS 142 FLOW CHART ON EXPERIMENTAL
DESIGN 153 BIBLIOGRAPHY 158 INDEX 161 |
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| author | Ruxton, Graeme D. Colegrave, Nick |
| author_facet | Ruxton, Graeme D. Colegrave, Nick |
| author_role | aut aut |
| author_sort | Ruxton, Graeme D. |
| author_variant | g d r gd gdr n c nc |
| building | Verbundindex |
| bvnumber | BV021265764 |
| callnumber-first | Q - Science |
| callnumber-label | QH307 |
| callnumber-raw | QH307.2 |
| callnumber-search | QH307.2 |
| callnumber-sort | QH 3307.2 |
| callnumber-subject | QH - Natural History and Biology |
| classification_tum | BIO 040f BIO 355f BIO 655f |
| ctrlnum | (OCoLC)62282104 (DE-599)BVBBV021265764 |
| dewey-full | 570.72/4 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 570 - Biology |
| dewey-raw | 570.72/4 |
| dewey-search | 570.72/4 |
| dewey-sort | 3570.72 14 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| discipline_str_mv | Biologie |
| edition | 2. ed. |
| format | Book |
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| id | DE-604.BV021265764 |
| illustrated | Illustrated |
| index_date | 2024-07-02T13:43:08Z |
| indexdate | 2024-07-09T20:34:13Z |
| institution | BVB |
| isbn | 019928511X 9780199285112 |
| language | English |
| lccn | 2005032212 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014586949 |
| oclc_num | 62282104 |
| open_access_boolean | |
| owner | DE-M49 DE-BY-TUM DE-19 DE-BY-UBM DE-20 |
| owner_facet | DE-M49 DE-BY-TUM DE-19 DE-BY-UBM DE-20 |
| physical | XVIII, 162 S. Ill., graph. Darst. |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | Oxford Univ. Press |
| record_format | marc |
| spelling | Ruxton, Graeme D. Verfasser aut Experimental design for the life sciences Graeme D. Ruxton ; Nick Colegrave 2. ed. Oxford Oxford Univ. Press 2006 XVIII, 162 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Experimenteel onderzoek gtt Levenswetenschappen gtt Biowissenschaften Life sciences Experiments Experimental design Experiment (DE-588)4015999-1 gnd rswk-swf Biologie (DE-588)4006851-1 gnd rswk-swf Versuchsplanung (DE-588)4078859-3 gnd rswk-swf Biowissenschaften (DE-588)4129772-6 gnd rswk-swf Biologie (DE-588)4006851-1 s Biowissenschaften (DE-588)4129772-6 s Experiment (DE-588)4015999-1 s Versuchsplanung (DE-588)4078859-3 s 1\p DE-604 Colegrave, Nick Verfasser aut HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014586949&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Ruxton, Graeme D. Colegrave, Nick Experimental design for the life sciences Experimenteel onderzoek gtt Levenswetenschappen gtt Biowissenschaften Life sciences Experiments Experimental design Experiment (DE-588)4015999-1 gnd Biologie (DE-588)4006851-1 gnd Versuchsplanung (DE-588)4078859-3 gnd Biowissenschaften (DE-588)4129772-6 gnd |
| subject_GND | (DE-588)4015999-1 (DE-588)4006851-1 (DE-588)4078859-3 (DE-588)4129772-6 |
| title | Experimental design for the life sciences |
| title_auth | Experimental design for the life sciences |
| title_exact_search | Experimental design for the life sciences |
| title_exact_search_txtP | Experimental design for the life sciences |
| title_full | Experimental design for the life sciences Graeme D. Ruxton ; Nick Colegrave |
| title_fullStr | Experimental design for the life sciences Graeme D. Ruxton ; Nick Colegrave |
| title_full_unstemmed | Experimental design for the life sciences Graeme D. Ruxton ; Nick Colegrave |
| title_short | Experimental design for the life sciences |
| title_sort | experimental design for the life sciences |
| topic | Experimenteel onderzoek gtt Levenswetenschappen gtt Biowissenschaften Life sciences Experiments Experimental design Experiment (DE-588)4015999-1 gnd Biologie (DE-588)4006851-1 gnd Versuchsplanung (DE-588)4078859-3 gnd Biowissenschaften (DE-588)4129772-6 gnd |
| topic_facet | Experimenteel onderzoek Levenswetenschappen Biowissenschaften Life sciences Experiments Experimental design Experiment Biologie Versuchsplanung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014586949&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT ruxtongraemed experimentaldesignforthelifesciences AT colegravenick experimentaldesignforthelifesciences |