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[ author_sort:"glass, david j." ]
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Experimental design for biologists /
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Glass, David J.
Experimental design for biologists /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
570.1/51
書名/作者:
Experimental design for biologists // David J. Glass.
作者:
Glass, David J.
出版者:
Cold Spring Harbor, New York : : Cold Spring Harbor Laboratory Press,, c2014.
面頁冊數:
viii, 289 p. : : ill. ;; 26 cm.
標題:
Biology - Mathematical models.
標題:
Experimental design.
ISBN:
9781621820413 (hbk.) :
ISBN:
1621820416 (hbk.)
書目註:
Includes bibliographical references and index.
內容註:
Why you need to read a little philosophy first: the philosophy of science governs the practice of science -- Defining scientific research -- Why do science? What is science for? The need for inductive reasoning -- The first step to engaging in scientific research: establishing your framework -- A short history of philosophy relevant to scientific method: how we got to where we are today and the problem of induction -- The sky is red hypothesis: examining the hypothesis-falsification framework -- The hypothesis as a framework for scientific projects: is critical rationalism critical enough? -- Scientific settings in which a hypothesis-falsification framework is not feasible -- The question and the model: forming an inductive framework for scientific projects (by getting to Carnegie Hall) -- Advantages to the question/model-building inductive framework -- A biological example of the question/model-building framework -- Some concluding remarks on the philosophy of experimentation: warnings and exhortations -- The system -- System validation -- Choice of a model organism or technique: validation experiments -- System validation requirements for distinct experimental readouts -- System specificity: specificity of detection and specificity of perturbation -- System sensitivity: minimizing signal to noise to improve sensitivity of detection -- System stability -- Determining conditions to measure efficacy -- System validation: determining conditions to measure safety -- Definition of the experiment: the framework for an individual experiment -- The negative control: distinct types -- The requirement for the positive control -- Method and reagent controls -- Subject controls -- Assumption controls -- Experimentalist controls: establishing a claim to an objective perspective -- Biological replicates, technical replicates, experimental repeats, time courses (repeats over time), and dose responses -- Summary of the components of the individual experiment -- Building
摘要、提要註:
"Experimental Design for Biologists is a unique and successful handbook on the theory and practice of effective design of scientific experiments, based on a well-received course by the author. This second edition is entirely reorganized, rewritten, and includes new material and figures. The material is presented in seven parts: Philosophy of Scientific Experimentation, Mapping Out the Project, System Validation, Experimental Design, Examples, What Comes After, and Putting It All Together. Experimental Design for Biologists, Second Edition, is an essential source in designing a sound research plan, critical to the success of graduate students"--
Experimental design for biologists /
Glass, David J.
Experimental design for biologists /
David J. Glass. - 2nd ed. - Cold Spring Harbor, New York :Cold Spring Harbor Laboratory Press,c2014. - viii, 289 p. :ill. ;26 cm.
Includes bibliographical references and index.
Why you need to read a little philosophy first: the philosophy of science governs the practice of science -- Defining scientific research -- Why do science? What is science for? The need for inductive reasoning -- The first step to engaging in scientific research: establishing your framework -- A short history of philosophy relevant to scientific method: how we got to where we are today and the problem of induction -- The sky is red hypothesis: examining the hypothesis-falsification framework -- The hypothesis as a framework for scientific projects: is critical rationalism critical enough? -- Scientific settings in which a hypothesis-falsification framework is not feasible -- The question and the model: forming an inductive framework for scientific projects (by getting to Carnegie Hall) -- Advantages to the question/model-building inductive framework -- A biological example of the question/model-building framework -- Some concluding remarks on the philosophy of experimentation: warnings and exhortations -- The system -- System validation -- Choice of a model organism or technique: validation experiments -- System validation requirements for distinct experimental readouts -- System specificity: specificity of detection and specificity of perturbation -- System sensitivity: minimizing signal to noise to improve sensitivity of detection -- System stability -- Determining conditions to measure efficacy -- System validation: determining conditions to measure safety -- Definition of the experiment: the framework for an individual experiment -- The negative control: distinct types -- The requirement for the positive control -- Method and reagent controls -- Subject controls -- Assumption controls -- Experimentalist controls: establishing a claim to an objective perspective -- Biological replicates, technical replicates, experimental repeats, time courses (repeats over time), and dose responses -- Summary of the components of the individual experiment -- Building
"Experimental Design for Biologists is a unique and successful handbook on the theory and practice of effective design of scientific experiments, based on a well-received course by the author. This second edition is entirely reorganized, rewritten, and includes new material and figures. The material is presented in seven parts: Philosophy of Scientific Experimentation, Mapping Out the Project, System Validation, Experimental Design, Examples, What Comes After, and Putting It All Together. Experimental Design for Biologists, Second Edition, is an essential source in designing a sound research plan, critical to the success of graduate students"--
ISBN: 9781621820413 (hbk.) :NTD 1,248
LCCN: 2014015021Subjects--Topical Terms:
404320
Biology
--Mathematical models.
LC Class. No.: QH323.5 / .G565 2014
Dewey Class. No.: 570.1/51
Experimental design for biologists /
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Why you need to read a little philosophy first: the philosophy of science governs the practice of science -- Defining scientific research -- Why do science? What is science for? The need for inductive reasoning -- The first step to engaging in scientific research: establishing your framework -- A short history of philosophy relevant to scientific method: how we got to where we are today and the problem of induction -- The sky is red hypothesis: examining the hypothesis-falsification framework -- The hypothesis as a framework for scientific projects: is critical rationalism critical enough? -- Scientific settings in which a hypothesis-falsification framework is not feasible -- The question and the model: forming an inductive framework for scientific projects (by getting to Carnegie Hall) -- Advantages to the question/model-building inductive framework -- A biological example of the question/model-building framework -- Some concluding remarks on the philosophy of experimentation: warnings and exhortations -- The system -- System validation -- Choice of a model organism or technique: validation experiments -- System validation requirements for distinct experimental readouts -- System specificity: specificity of detection and specificity of perturbation -- System sensitivity: minimizing signal to noise to improve sensitivity of detection -- System stability -- Determining conditions to measure efficacy -- System validation: determining conditions to measure safety -- Definition of the experiment: the framework for an individual experiment -- The negative control: distinct types -- The requirement for the positive control -- Method and reagent controls -- Subject controls -- Assumption controls -- Experimentalist controls: establishing a claim to an objective perspective -- Biological replicates, technical replicates, experimental repeats, time courses (repeats over time), and dose responses -- Summary of the components of the individual experiment -- Building
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