Handbook for clinical research : design, statistics, and implementation /

With over 80 information-packed chapters, Handbook for Clinical Research delivers the practical insights and expert tips necessary for successful research design, analysis, and implementation. Using clear language and accessible bullet point format, the authors present the knowledge and expertise de...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Hammond, Flora (Editor ), Malec, James F. (Editor ), Nick, Todd (Editor ), Buschbacher, Ralph M. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Demos Medical Publishing, LLC, [2015]
Temas:
Clinical trials.
Statistics.
Biomedical Research
Clinical Trials as Topic
Epidemiologic Research Design
Statistics as Topic
Études cliniques.
Statistiques.
Statistique.
statistics.
HEALTH & FITNESS > Holism.
HEALTH & FITNESS > Reference.
MEDICAL > Alternative Medicine.
MEDICAL > Atlases.
MEDICAL > Essays.
MEDICAL > Family & General Practice.
MEDICAL > Holistic Medicine.
MEDICAL > Osteopathy.
Statistics
Clinical trials
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Machine generated contents note: pt. I DESIGN
  • 1. Development and Testing of Treatments / John Whyte
  • 2. Qualitative Research / Elena Gillespie
  • 3. Single-Case Experimental Designs / Michael Perdices
  • 4. Studies of Associations / Michael Schonberger
  • 5. Observational Studies: Retrospective Versus Prospective / Katherine W. Stenson
  • 6. Historical Controls / Katherine W. Stenson
  • 7. Subject as Own Control / Lisa A. Lombard
  • 8. Longitudinal Cohort Versus Cross-Sectional Cohort Studies / Katherine W. Stenson
  • 9. Survey Research / Amanda Leigh Harrington
  • 10. Choice of Control Groups in Treatment Studies / Sureyya S. Dikmen
  • 11. Randomization / Emilia Bagiella
  • 12. Special Issues in Randomized Controlled Trials / Michael L. Boninger
  • 13. Secondary Data Analysis / Amol Karmarkar
  • 14. Scoping Study / Xinsheng Cai
  • 15. Systematic Reviews / Xinsheng Cai
  • 16. Meta-Analysis / Xinsheng Cai
  • 17. Recommendations for Reporting Research Studies / Ronald T. Seel
  • Note continued: 18. Developing and Evaluating Systematic Reviews and Practice Guidelines / Ronald T. Seel
  • pt. II STATISTICS
  • 19. Introduction / Christopher J. Swearingen
  • 20. Types of Data / Marcus Wellen
  • 21. Descriptive Statistics / Todd G. Nick
  • 22. Data Distributions / Marcus Wellen
  • 23. Samples and Populations / Marcus Wellen
  • 24. Visual Display of Data / Marcus Wellen
  • 25. Data Cleaning / Jingyun Li
  • 26. Missing Data and Imputation / Christopher J. Swearingen
  • 27. Estimation / Mallikarjuna Rettiganti
  • 28. Hypothesis Testing / Mallikarjuna Rettiganti
  • 29. Sample Size and Power / Mallikarjuna Rettiganti
  • 30.Comparing Matched Samples With Continuous-Type Outcomes: Two Groups / Ming Li
  • 31.Comparing Independent Samples With Continuous-Type Outcomes: Two Groups / Ming Li
  • 32.Comparing Independent Samples for Continuous-Type Outcomes: Three Groups or More / Ming Li
  • 33. Correlation / Christopher J. Swearingen
  • Note continued: 34. Simple Linear Regression / Christopher J. Swearingen
  • 35. Multiple Linear Regression / Christopher J. Swearingen
  • 36. Longitudinal and Clustered Data / Mallikarjuna Rettiganti
  • 37. Significance Tests: Categorical Data / Xinyu Tang
  • 38. Measures of Effect Sizes for Categorical Outcomes / Todd G. Nick
  • 39. Logistic Regression / Chunqiao Luo
  • 40. Kaplan-Meier Estimator / Xinyu Tang
  • 41. Log-Rank Test / Xinyu Tang
  • 42. Proportional Hazards Model / Xinyu Tang
  • 43. Sources of Error: Selection Bias, Information Bias, and Confounding / Laura Smith
  • 44. Mediation Analyses / Todd G. Nick
  • 45. Epidemiology Study: Incidence and Prevalence / Laura Smith
  • 46. Validity and Performance of Screening: Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value / Laura Smith
  • 47. Statistical Tools for Agreement and Reliability Studies / Shasha Bai
  • 48. Classical Test Theory / Jamie Reilly
  • 49. Item Response Theory / Jamie Reilly
  • Note continued: pt. III IMPLEMENTATION
  • Grant Proposals
  • 50. Successful Grant Applications / Flora M. Hammond
  • 51. Sources of Research Funding / James F. Malec
  • 52. Planning Grants / Eric Lenze
  • 53. Developing the Idea With Stakeholder Input / John D. Corrigan
  • 54. Research Questions, Hypotheses, Aims, and Abstract / Flora M. Hammond
  • 55. Reviewing the Literature / Edward Garay
  • 56. Background and Significance / Flora M. Hammond
  • 57. Preliminary Studies and Experience / Flora M. Hammond
  • 58. Methods and Design / Kathleen R. Bell
  • 59. Types of Measures / James F. Malec
  • 60. Letters of Support / James F. Malec
  • 61. Budget and Budget Justification / Rob Dimmitt
  • 62. Preaward Management / Rob Dimmitt
  • Conducting the Research
  • 63. Post-Award Management / LaMoria Patterson
  • 64. Good Clinical Practices / John R. Baumann
  • 65. Research Misconduct / Rebecca Hopson
  • 66. Study Protocol / Flora M. Hammond
  • 67. Manual of Procedures / Flora M. Hammond
  • Note continued: 68. Treatment Manuals / Kathleen R. Bell
  • 69. Participant Recruitment and Enrollment / Flora M. Hammond
  • 70. Participant Retention / Flora M. Hammond
  • 71. Data Collection / Flora M. Hammond
  • 72. Case Report Forms / Flora M. Hammond
  • 73. Database Development / Emilia Bagiella
  • 74. Data Dictionary / Emilia Bagiella
  • 75. Data Management / Emilia Bagiella
  • 76. Plan of Operation / Angelle M. Sander
  • 77. Evaluation / Angelle M. Sander
  • 78. Regulatory Binder and Essentia Documents / Flora M. Hammond
  • 79. Adverse Events / Flora M. Hammond
  • 80. Protocol Deviations and Violations / Flora M. Hammond
  • 81. Data and Safety Monitoring / Emilia Bagiella
  • 82. Multicenter Trials / Flora M. Hammond
  • 83. Site Monitoring and Oversight / Flora M. Hammond.

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