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This book recounts some experiences of young Australians with catastrophic brain injuries, their families and the medical system which they encountered. Whilst most of the events described occurred two to three decades ago they raise questions relevant to contemporary medical practice.
Patient Care Management --- Diagnosis --- Health Care Quality, Access, and Evaluation --- Health Personnel --- Psychology, Social --- Persons --- Brain Diseases --- Named Groups --- Health Care Facilities, Manpower, and Services --- Health Care --- Central Nervous System Diseases --- Health Services Administration --- Occupational Groups --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Behavior and Behavior Mechanisms --- Psychiatry and Psychology --- Nervous System Diseases --- Diseases --- Caregivers --- Delivery of Health Care --- Prognosis --- Brain Damage, Chronic --- Prejudice --- Brain --- Brain damage --- Coma --- Wounds and injuries. --- Patients --- Rehabilitation. --- Treatment. --- Freeman, E. A. --- Comatose state --- Freeman, Edward Alan --- Freeman, Ted --- Freeman, Ted, --- Loss of consciousness --- Persistent vegetative state --- Psychology, Pathological --- Wounds and injuries
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The first half of the book is aimed at quantitative research workers in biology, medicine, ecology and genetics. The book as a whole is aimed at graduate students in statistics, biostatistics, and other quantitative disciplines. Ten detailed examples show how the author approaches real-world statistical problems in a principled way that allows for adequate compromise and flexibility. The need to accommodate correlations associated with space, time and other relationships is a recurring theme, so variance-components models feature prominently. Statistical pitfalls are illustrated via examples taken from the recent scientific literature. Chapter 11 sets the scene, not just for the second half of the book, but for the book as a whole. It begins by defining fundamental concepts such as baseline, observational unit, experimental unit, covariates and relationships, randomization, treatment assignment, and the role that these play in model formulation. Compatibility of the model with the randomization scheme is crucial. The effect of treatment is invariably modelled as a group action on probability distributions. Technical matters connected with space-time covariance functions, residual likelihood, likelihood ratios, and transformations are discussed in later chapters.
Mathematical statistics. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods --- Statistics. --- Biometry. --- Sampling (Statistics). --- Quantitative research. --- Statistical Theory and Methods. --- Biostatistics. --- Methodology of Data Collection and Processing. --- Data Analysis and Big Data. --- Data analysis (Quantitative research) --- Exploratory data analysis (Quantitative research) --- Quantitative analysis (Research) --- Quantitative methods (Research) --- Research --- Random sampling --- Statistics of sampling --- Mathematical statistics --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Asymptotic theory. --- Asymptotic expansions --- Estadística --- Investigació quantitativa
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The first half of the book is aimed at quantitative research workers in biology, medicine, ecology and genetics. The book as a whole is aimed at graduate students in statistics, biostatistics, and other quantitative disciplines. Ten detailed examples show how the author approaches real-world statistical problems in a principled way that allows for adequate compromise and flexibility. The need to accommodate correlations associated with space, time and other relationships is a recurring theme, so variance-components models feature prominently. Statistical pitfalls are illustrated via examples taken from the recent scientific literature. Chapter 11 sets the scene, not just for the second half of the book, but for the book as a whole. It begins by defining fundamental concepts such as baseline, observational unit, experimental unit, covariates and relationships, randomization, treatment assignment, and the role that these play in model formulation. Compatibility of the model with the randomization scheme is crucial. The effect of treatment is invariably modelled as a group action on probability distributions. Technical matters connected with space-time covariance functions, residual likelihood, likelihood ratios, and transformations are discussed in later chapters.
Statistical science --- Biomathematics. Biometry. Biostatistics --- biomathematica --- biostatistiek --- statistiek --- biometrie --- statistisch onderzoek --- Mathematical statistics. --- Mathematical statistics --- Estadística --- Investigació quantitativa --- Asymptotic theory.
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