Intuitive biostatistics: a nonmathematical guide to statistical thinking
"Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions an...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York [u.a.]
Oxford Univ. Press
2010
|
| Ausgabe: | Completely rev. 2. ed. |
| Schlagworte: | |
| Zusammenfassung: | "Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. New to this edition: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. Chapter 21 contrasts testing for equivalence with testing for differences. Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. Chapters 24 and 25 review testing for normality and outliers. Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models. Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48. New "Q and A" sections throughout the book review key concepts"--Provided by publisher |
| Beschreibung: | Includes bibliographical references and index Statistics and probability are not intuitive -- Why statistics can be hard to learn -- From sample to population -- Confidence interval of a proportion -- Confidence interval of survival data -- Confidence interval of counted data -- Graphing continuous data -- Types of variables -- Quantifying scatter -- The Gaussian distribution -- The lognormal distribution and geometric mean -- Confidence interval of a mean -- The theory of confidence intervals -- Error bars -- Introducing P values -- Statistical significance and hypothesis testing -- Relationship between confidence intervals and statistical significance -- Interpreting a result that is statistically significant -- Interpreting a result that is not statistically significant -- Statistical power -- Testing for equivalence or noninferiority -- Multiple comparisons concepts -- Multiple comparisons traps -- Gaussian or not? -- Outliers -- Comparing observed and expected distributions -- Comparing proportions : prospective and experimental studies -- Comparing proportions : case-controlled studies -- Comparing survival curves -- Comparing two means : unpaired t-test -- Comparing two paired groups -- Correlation -- Simple linear regression -- Introducing models -- Comparing models -- Nonlinear regression -- Multiple, logistic, and proportional hazards regression -- Multiple regression traps -- Analysis of variance -- Multiple comparison tests after ANOVA -- Nonparametric methods -- Sensitivity, specificity, and receiver-operator characteristic curves -- Sample size -- Statistical advice -- Choosing a statistical test -- Capstone example -- Review problems -- Answers to review problems |
| Beschreibung: | XXVI, 447 S., [15] Bl. graph. Darst. 24 cm |
| ISBN: | 9780199730063 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV036009289 | ||
| 003 | DE-604 | ||
| 005 | 20150831 | ||
| 007 | t | ||
| 008 | 100204s2010 d||| |||| 00||| eng d | ||
| 020 | |a 9780199730063 |c pbk |9 978-0-19-973006-3 | ||
| 035 | |a (OCoLC)470694492 | ||
| 035 | |a (DE-599)BVBBV036009289 | ||
| 040 | |a DE-604 |b ger |e rakwb | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-29 |a DE-526 |a DE-188 |a DE-20 |a DE-706 | ||
| 050 | 0 | |a R853.S7 | |
| 082 | 0 | |a 610.72/1 |2 22 | |
| 084 | |a WC 7000 |0 (DE-625)148142: |2 rvk | ||
| 100 | 1 | |a Motulsky, Harvey |e Verfasser |0 (DE-588)1058416340 |4 aut | |
| 245 | 1 | 0 | |a Intuitive biostatistics |b a nonmathematical guide to statistical thinking |c Harvey Motulsky |
| 250 | |a Completely rev. 2. ed. | ||
| 264 | 1 | |a New York [u.a.] |b Oxford Univ. Press |c 2010 | |
| 300 | |a XXVI, 447 S., [15] Bl. |b graph. Darst. |c 24 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 500 | |a Statistics and probability are not intuitive -- Why statistics can be hard to learn -- From sample to population -- Confidence interval of a proportion -- Confidence interval of survival data -- Confidence interval of counted data -- Graphing continuous data -- Types of variables -- Quantifying scatter -- The Gaussian distribution -- The lognormal distribution and geometric mean -- Confidence interval of a mean -- The theory of confidence intervals -- Error bars -- Introducing P values -- Statistical significance and hypothesis testing -- Relationship between confidence intervals and statistical significance -- Interpreting a result that is statistically significant -- Interpreting a result that is not statistically significant -- Statistical power -- Testing for equivalence or noninferiority -- Multiple comparisons concepts -- Multiple comparisons traps -- Gaussian or not? -- Outliers -- Comparing observed and expected distributions -- Comparing proportions : prospective and experimental studies -- Comparing proportions : case-controlled studies -- Comparing survival curves -- Comparing two means : unpaired t-test -- Comparing two paired groups -- Correlation -- Simple linear regression -- Introducing models -- Comparing models -- Nonlinear regression -- Multiple, logistic, and proportional hazards regression -- Multiple regression traps -- Analysis of variance -- Multiple comparison tests after ANOVA -- Nonparametric methods -- Sensitivity, specificity, and receiver-operator characteristic curves -- Sample size -- Statistical advice -- Choosing a statistical test -- Capstone example -- Review problems -- Answers to review problems | ||
| 520 | |a "Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. New to this edition: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. Chapter 21 contrasts testing for equivalence with testing for differences. Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. Chapters 24 and 25 review testing for normality and outliers. Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models. Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48. New "Q and A" sections throughout the book review key concepts"--Provided by publisher | ||
| 650 | 7 | |a statistical methods |2 cabt | |
| 650 | 7 | |a mathematical statistics |2 cabt | |
| 650 | 7 | |a medicine |2 cabt | |
| 650 | 7 | |a statistical analysis |2 cabt | |
| 650 | 4 | |a Medicine / Research / Statistical methods | |
| 650 | 4 | |a Biometry / methods | |
| 650 | 4 | |a Biomedical Research / methods | |
| 650 | 4 | |a Medizin | |
| 650 | 4 | |a Biomedical Research |x methods | |
| 650 | 4 | |a Biometry |x methods | |
| 650 | 4 | |a Medicine |x Research |x Statistical methods | |
| 650 | 0 | 7 | |a Biostatistik |0 (DE-588)4729990-3 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Biostatistik |0 (DE-588)4729990-3 |D s |
| 689 | 0 | |5 DE-604 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-018901543 | ||
Datensatz im Suchindex
| _version_ | 1804141033690234880 |
|---|---|
| any_adam_object | |
| author | Motulsky, Harvey |
| author_GND | (DE-588)1058416340 |
| author_facet | Motulsky, Harvey |
| author_role | aut |
| author_sort | Motulsky, Harvey |
| author_variant | h m hm |
| building | Verbundindex |
| bvnumber | BV036009289 |
| callnumber-first | R - Medicine |
| callnumber-label | R853 |
| callnumber-raw | R853.S7 |
| callnumber-search | R853.S7 |
| callnumber-sort | R 3853 S7 |
| callnumber-subject | R - General Medicine |
| classification_rvk | WC 7000 |
| ctrlnum | (OCoLC)470694492 (DE-599)BVBBV036009289 |
| dewey-full | 610.72/1 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 610 - Medicine and health |
| dewey-raw | 610.72/1 |
| dewey-search | 610.72/1 |
| dewey-sort | 3610.72 11 |
| dewey-tens | 610 - Medicine and health |
| discipline | Biologie Medizin |
| edition | Completely rev. 2. ed. |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04828nam a2200505 c 4500</leader><controlfield tag="001">BV036009289</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20150831 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">100204s2010 d||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780199730063</subfield><subfield code="c">pbk</subfield><subfield code="9">978-0-19-973006-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)470694492</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV036009289</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-29</subfield><subfield code="a">DE-526</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-706</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">R853.S7</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">610.72/1</subfield><subfield code="2">22</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WC 7000</subfield><subfield code="0">(DE-625)148142:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Motulsky, Harvey</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1058416340</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Intuitive biostatistics</subfield><subfield code="b">a nonmathematical guide to statistical thinking</subfield><subfield code="c">Harvey Motulsky</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Completely rev. 2. ed.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York [u.a.]</subfield><subfield code="b">Oxford Univ. Press</subfield><subfield code="c">2010</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XXVI, 447 S., [15] Bl.</subfield><subfield code="b">graph. Darst.</subfield><subfield code="c">24 cm</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 and index</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Statistics and probability are not intuitive -- Why statistics can be hard to learn -- From sample to population -- Confidence interval of a proportion -- Confidence interval of survival data -- Confidence interval of counted data -- Graphing continuous data -- Types of variables -- Quantifying scatter -- The Gaussian distribution -- The lognormal distribution and geometric mean -- Confidence interval of a mean -- The theory of confidence intervals -- Error bars -- Introducing P values -- Statistical significance and hypothesis testing -- Relationship between confidence intervals and statistical significance -- Interpreting a result that is statistically significant -- Interpreting a result that is not statistically significant -- Statistical power -- Testing for equivalence or noninferiority -- Multiple comparisons concepts -- Multiple comparisons traps -- Gaussian or not? -- Outliers -- Comparing observed and expected distributions -- Comparing proportions : prospective and experimental studies -- Comparing proportions : case-controlled studies -- Comparing survival curves -- Comparing two means : unpaired t-test -- Comparing two paired groups -- Correlation -- Simple linear regression -- Introducing models -- Comparing models -- Nonlinear regression -- Multiple, logistic, and proportional hazards regression -- Multiple regression traps -- Analysis of variance -- Multiple comparison tests after ANOVA -- Nonparametric methods -- Sensitivity, specificity, and receiver-operator characteristic curves -- Sample size -- Statistical advice -- Choosing a statistical test -- Capstone example -- Review problems -- Answers to review problems</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. New to this edition: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. Chapter 21 contrasts testing for equivalence with testing for differences. Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. Chapters 24 and 25 review testing for normality and outliers. Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models. Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48. New "Q and A" sections throughout the book review key concepts"--Provided by publisher</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">statistical methods</subfield><subfield code="2">cabt</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">mathematical statistics</subfield><subfield code="2">cabt</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">medicine</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="4"><subfield code="a">Medicine / Research / Statistical methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biometry / methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biomedical Research / methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Medizin</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biomedical Research</subfield><subfield code="x">methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biometry</subfield><subfield code="x">methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Medicine</subfield><subfield code="x">Research</subfield><subfield code="x">Statistical methods</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Biostatistik</subfield><subfield code="0">(DE-588)4729990-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Biostatistik</subfield><subfield code="0">(DE-588)4729990-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-018901543</subfield></datafield></record></collection> |
| id | DE-604.BV036009289 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:09:26Z |
| institution | BVB |
| isbn | 9780199730063 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-018901543 |
| oclc_num | 470694492 |
| open_access_boolean | |
| owner | DE-29 DE-526 DE-188 DE-20 DE-706 |
| owner_facet | DE-29 DE-526 DE-188 DE-20 DE-706 |
| physical | XXVI, 447 S., [15] Bl. graph. Darst. 24 cm |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Oxford Univ. Press |
| record_format | marc |
| spelling | Motulsky, Harvey Verfasser (DE-588)1058416340 aut Intuitive biostatistics a nonmathematical guide to statistical thinking Harvey Motulsky Completely rev. 2. ed. New York [u.a.] Oxford Univ. Press 2010 XXVI, 447 S., [15] Bl. graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Statistics and probability are not intuitive -- Why statistics can be hard to learn -- From sample to population -- Confidence interval of a proportion -- Confidence interval of survival data -- Confidence interval of counted data -- Graphing continuous data -- Types of variables -- Quantifying scatter -- The Gaussian distribution -- The lognormal distribution and geometric mean -- Confidence interval of a mean -- The theory of confidence intervals -- Error bars -- Introducing P values -- Statistical significance and hypothesis testing -- Relationship between confidence intervals and statistical significance -- Interpreting a result that is statistically significant -- Interpreting a result that is not statistically significant -- Statistical power -- Testing for equivalence or noninferiority -- Multiple comparisons concepts -- Multiple comparisons traps -- Gaussian or not? -- Outliers -- Comparing observed and expected distributions -- Comparing proportions : prospective and experimental studies -- Comparing proportions : case-controlled studies -- Comparing survival curves -- Comparing two means : unpaired t-test -- Comparing two paired groups -- Correlation -- Simple linear regression -- Introducing models -- Comparing models -- Nonlinear regression -- Multiple, logistic, and proportional hazards regression -- Multiple regression traps -- Analysis of variance -- Multiple comparison tests after ANOVA -- Nonparametric methods -- Sensitivity, specificity, and receiver-operator characteristic curves -- Sample size -- Statistical advice -- Choosing a statistical test -- Capstone example -- Review problems -- Answers to review problems "Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. New to this edition: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. Chapter 21 contrasts testing for equivalence with testing for differences. Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. Chapters 24 and 25 review testing for normality and outliers. Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models. Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48. New "Q and A" sections throughout the book review key concepts"--Provided by publisher statistical methods cabt mathematical statistics cabt medicine cabt statistical analysis cabt Medicine / Research / Statistical methods Biometry / methods Biomedical Research / methods Medizin Biomedical Research methods Biometry methods Medicine Research Statistical methods Biostatistik (DE-588)4729990-3 gnd rswk-swf Biostatistik (DE-588)4729990-3 s DE-604 |
| spellingShingle | Motulsky, Harvey Intuitive biostatistics a nonmathematical guide to statistical thinking statistical methods cabt mathematical statistics cabt medicine cabt statistical analysis cabt Medicine / Research / Statistical methods Biometry / methods Biomedical Research / methods Medizin Biomedical Research methods Biometry methods Medicine Research Statistical methods Biostatistik (DE-588)4729990-3 gnd |
| subject_GND | (DE-588)4729990-3 |
| title | Intuitive biostatistics a nonmathematical guide to statistical thinking |
| title_auth | Intuitive biostatistics a nonmathematical guide to statistical thinking |
| title_exact_search | Intuitive biostatistics a nonmathematical guide to statistical thinking |
| title_full | Intuitive biostatistics a nonmathematical guide to statistical thinking Harvey Motulsky |
| title_fullStr | Intuitive biostatistics a nonmathematical guide to statistical thinking Harvey Motulsky |
| title_full_unstemmed | Intuitive biostatistics a nonmathematical guide to statistical thinking Harvey Motulsky |
| title_short | Intuitive biostatistics |
| title_sort | intuitive biostatistics a nonmathematical guide to statistical thinking |
| title_sub | a nonmathematical guide to statistical thinking |
| topic | statistical methods cabt mathematical statistics cabt medicine cabt statistical analysis cabt Medicine / Research / Statistical methods Biometry / methods Biomedical Research / methods Medizin Biomedical Research methods Biometry methods Medicine Research Statistical methods Biostatistik (DE-588)4729990-3 gnd |
| topic_facet | statistical methods mathematical statistics medicine statistical analysis Medicine / Research / Statistical methods Biometry / methods Biomedical Research / methods Medizin Biomedical Research methods Biometry methods Medicine Research Statistical methods Biostatistik |
| work_keys_str_mv | AT motulskyharvey intuitivebiostatisticsanonmathematicalguidetostatisticalthinking |