This concise book will help you to interpret the statistical evidence provided by quantitative studies and to plan how to work with data in your own clinical research. Following the successful format of the Toolkit series, Statistics Toolkit guides the reader through statistical concepts using flowcharts, diagrams and real life examples to reflect concepts in a simple and practical manner.
The book offers a handy, quick reference that has an easy-to-follow structure throughout, making it ideal for health care professionals and students.
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assess association calculate CARIFS central tendency chance chart children with meningococcal chloramphenicol clinical cure compared Conﬁdence confidence interval control group curves dataset death diagnostic tests Egger’s equal estimate event rate example expected experimental group fixed effects model given penicillin graph hazard ratio heterogeneity hypothesis testing increase inter-rater agreement interpretation interquartile range kappa statistic leg pain likelihood ratio Likert scale linear regression Log-rank test logistic regression Mann-Whitney median meningococcal disease meta-analysis mortality rate negative nonparametric normal distribution null hypothesis number needed number of patients obtained odds ratio onset outcome penicillin percentage percentile PI PI PMID population positive post-test odds prognostic factor proportional hazards publication bias quartile random effects model reject the null relative risk risk difference Sample mean score sensitivity SPSS standard deviation standard error STATA statistical methods subgroups Summary symptom systematic reviews test result test statistic total number trials type I error variables variance weighted mean frequency