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    Practical Biostatistics

    Practical Biostatistics

    - A Step-by-Step Approach for Evidence-Based Medicine

    Af
    Bog E-bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine, Second Edition presents a complete resource of biostatistical knowledge meant for health sciences students, researchers and health care professionals. The book's content covers the investigator’s hypothesis, collective health, observational studies, the biostatistics of intervention studies, clinical trials and additional concepts. Chapters are written in a didactic way, making them easier to comprehend by readers with little or no background on statistics. Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision-making using statistical analyses of scientific methods and outcomes to drive further experimentation and diagnosis. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or hands-on guide on how to effectively incorporate biostatistics in clinical trials and research projects.

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    Detaljer
    • SprogEngelsk
    • Sidetal206
    • Udgivelsesdato09-06-2021
    • ISBN139780323901024
    • Forlag Academic Press Inc
    • FormatPaperback
    Størrelse og vægt
  • Vægt430 g
    • coffee cup img
    10 cm
    book img
    19,1 cm
    23,5 cm

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    Mode Human capital Meta-analysis Mortality Comparative studies Longitudinal studies Cost-Benefit Analysis Life expectancy Discount Case-Control Studies Cross-Sectional Studies Cohort Studies Confidence interval Covariates Cost utility analysis Mann-Whitney test Incidence Dependent variable Coefficient of determination Degrees of freedom Normal distribution Median Decision analysis Correlation Epidemiological studies Nonparametric tests Discrete Variables Effect size Likelihood ratio Mean Drop-Outs Null hypothesis Endpoints Independent Variable Categorical variables Absolute benefit increase Absolute risk increase Absolute Risk Reduction Alternative hypothesis Basal risk Artificial pairing Benefit indexes Coefficient of variation Cohort prevalence study Central tendency measures controlled studies Costs minimization analysis Costs standardization Dependent Samples Cost–efficacy ratio for percentual unit of success Cost–efficacy increment ratio Cost–efficacy plan Cost-oriented timing Crude mortality rate Dispersal measures Crossover studies continuous variables Cost–efficacy ratio Cost–consequence analysis Cost–efficacy grid Confidence Limits Critial ratio Cumulative incidence Cost–efficacy ratio for percentual of an additional success Dependent samples studies Dichotomous variables intention-to-treat analysis Double-blind studies Heterogeneity analysis Investigator’s hypothesis Independent samples ecological studies Independent samples studies Likelihood of being helped versus harmed Natural pairing Meta-analysis weighted mean Linear regression formula Number needed to harm Gauss curve Forest plot Mortality rate due to cause of death Nonnormal distribution Multiple Linear Regression negative predictive value Health-related life quality Nominal Variables Incidence Rate Institutional Costs Interquartile Range Interval variables Lethality rate Mortality proportion Nonpaired samples studies Meta-regression Analysis Noncomparative studies Nondichotomous variables Nonrandomized studies Mortality proportion due to cause of death multivariable analysis N estimation
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