Medical Statistics At A Glance

Now in its fourth edition, Medical Statistics at a Glance is a concise and accessible introduction to this complex subject. It provides clear instruction on how to apply commonly used statistical procedures in an easy-to-read, comprehensive and relevant volume. This new edition continues to be the ideal introductory manual and reference guide to medical statistics, an invaluable companion for statistics lectures and a very useful revision aid.

Medical Statistics at a Glance

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Medical Statistics at a Glance is a concise and accessible introduction and revision aid for this complex subject. The self-contained chapters explain the underlying concepts of medical statistics and provide a guide to the most commonly used statistical procedures.

Now in its fourth edition, Medical Statistics at a Glance is a concise and accessible introduction to this complex subject. It provides clear instruction on how to apply commonly used statistical procedures in an easy-to-read, comprehensive and relevant volume. This new edition continues to be the ideal introductory manual and reference guide to medical statistics, an invaluable companion for statistics lectures and a very useful revision aid.

Dr Notes is a website where you can store any medical book, notes, exams, and recalls online for easy sharing. The idea behind the site is to make it more convenient for the medical field staff to share large amounts of eBooks online.

Medical statistics deals with applications of statistics to medicine and the health sciences, including epidemiology, public health, forensic medicine, and clinical research. Medical statistics has been a recognized branch of statistics in the United Kingdom for more than 40 years but the term has not come into general use in North America, where the wider term 'biostatistics' is more commonly used.[1] However, "biostatistics" more commonly connotes all applications of statistics to biology.[1] Medical statistics is a subdiscipline of statistics. "It is the science of summarizing, collecting, presenting and interpreting data in medical practice, and using them to estimate the magnitude of associations and test hypotheses. It has a central role in medical investigations. It not only provides a way of organizing information on a wider and more formal basis than relying on the exchange of anecdotes and personal experience, but also takes into account the intrinsic variation inherent in most biological processes."[2]

Pharmaceutical statistics is the application of statistics to matters concerning the pharmaceutical industry. This can be from issues of design of experiments, to analysis of drug trials, to issues of commercialization of a medicine.

Clinical biostatistics is concerned with research into the principles and methodology used in the design and analysis of clinical research and to apply statistical theory to clinical medicine.[3]

I still remember my first book on statistics: "Elementary statistics with applications in medicine and the biological sciences" by Frederick E. Croxton. For me, it has been the start of pursuing understanding statistics in daily life and in medical practice. It was the first volume in a long row of books. In his introduction, Croxton pretends that"nearly everyone involved in any aspect of medicine needs to have some knowledge of statistics". The reality is that for many clinicians, statistics are limited to a "P

This comprehensive workbook contains a variety of self-assessment methods that allow readers to test their statistical knowledge, put it into practice, and apply it in a medical context, while also providing guidance when critically appraising published literature. It is designed to support the best-selling third edition of Medical Statistics at a Glance, to which it is fully cross-referenced, but may be used independently of it.

Ideal for medical students, junior doctors, researchers and anyone working in the biomedical and pharmaceutical disciplines who wants to feel more confident in basic medical statistics, the title includes:

Aviva Petrie is Head of Biostatistics Unit and Senior Lecturer, Eastman Dental Institute, University College London; Honorary Lecturer in Medical Statistics, Medical Statistics Unit, London School of Hygiene and Tropical Medicine

Nearly a quarter of Americans have medical debt, according to a LendingTree survey fielded earlier in 2022. These medical expenses are often unforeseen, which can be problematic for Americans without established emergency funds, with small credit card limits or other roadblocks.

In fact, regardless of generation, 30% of parents with children younger than 18 have medical debt, according to the LendingTree survey, versus 20% of those without children and 19% of those with only adult children.

But national credit-reporting companies Equifax, Experian and TransUnion announced in March that they were removing what they identified as nearly 70% of medical debt from credit reports as of July 1:

Several states, including California, Maryland and New Mexico, have also recently enacted laws designed to provide more consumer protection around medical debt collection, which could help improve circumstances, too.

Shopping around for more affordable options (hospitals are required to provide fee schedules for services, as of 2021), using in-network providers when possible and ideally having some savings can help prevent you from taking on medical debt.

HCUP Fast Stats uses visual statistical displays in stand-alone graphs, trend figures, or simple tablesto convey complex information at a glance. Fast Stats is updated regularly for timely, topic-specific national and State-level statistics.

Explore visual displays to compare national or State statistics on a range of healthcare topics. Examine State inpatient stay trends and data by expected payer. State-level trends are presented overall and for five types of hospitalizations (maternal, mental health, injury, surgical, and medical) stratified by expected payer.

State-level statistics on inpatient stays are drawn from the HCUP State Inpatient Databases (SID) and quarterly data if available. Counts are summarized by discharge quarter. Information based on quarterly data should be considered preliminary. Quarterly data will be replaced by the State's complete annual SID for the year when it is available. Additionally, it is possible for a State's annual SID to be updated. As a result of either the replacement of quarterly data with annual SID or the update of an annual SID, previously released statistics for a given State may change. This analysis is limited to patients treated in community, nonrehabilitation hospitals in the State. Discharge counts for inpatient stays exclude transfers out to another acute care hospital.

Notable increases or decreases may be observed in the statistics across the ICD-9-CM to ICD-10-CM/PCS transition that are more reflective of definitional changes rather than changes in hospital utilization. Compared with the ICD-9-CM time period, some definitions of hospitalization type for ICD-10-CM/PCS may be more narrowly or more broadly defined. More information on the impact of ICD-10-CM/PCS is available on the HCUP User Support (HCUP-US) web page for ICD-10-CM/PCS Resources.

Each adult discharge is assigned to a single hospitalization type hierarchically, based on the following order: maternal, mental health/substance use, injury, surgical, and medical. All discharges are categorized in one of the five mutually exclusive hospitalization types based on the principal diagnosis for the hospital stay.

It should be noted that beginning in December 2020, statistics by hospitalization type using the ICD-10-CM coding system (since quarter 4 of 2015) have been updated to reflect new definitions provided below for each of the five hospitalization types. Thus, there is a one-time change in previously released statistics beginning quarter 4 of 2015 through as late as quarter 1 of 2019, depending on the availability of a State's data when the statistics were last updated prior to December 2020. Many of the current and previously released statistics are similar, but statistics for some hospitalization types have changed substantially, specifically for mental health/substance use. The new definition of mental health/substance use is based on major diagnostic category (MDC). As a result, there are specific ICD-10-CM diagnosis codes that are no longer included. For example, discharges with a principal diagnosis code indicating alcoholic cirrhosis of the liver, Alzheimer's disease, and poisoning by narcotics and psychodysleptics are no longer assigned to the hospitalization type for mental health/substance use. Additional information on the amount of change between current and previously released statistics for each hospitalization type by age group and expected payer is provided in the "ICD-10-CM Definition Changes" worksheet of the Excel download file. 041b061a72