TY - BOOK AU - Daly,Leslie E. AU - Bourke,Geoffrey J. AU - Bourke,Geoffrey J. TI - Interpretation and uses of medical statistics SN - 0632062754 PY - 2008/// CY - Oxford, Malden, Mass. PB - Blackwell Science KW - Medicine KW - Research KW - Methodology KW - Biometry KW - Statistique médicale KW - Médecine KW - Recherche KW - Méthodologie KW - MATHEMATICS KW - Probability & Statistics KW - General KW - bisacsh KW - fast KW - Statistiek KW - gtt KW - Geneeskunde KW - Medical statistics KW - Electronic books KW - local N1 - Previous editions entered under: Bourke, Geoffrey J; BIBINDX; Describing Data--A Single Variable --; Types of data --; Qualitative data--simple tables and bar charts --; Picturing quantitative data --; Shapes of distributions --; Measures of central value --; Other measures of location--quantiles --; Measures of dispersion --; Probability, Populations and Samples --; Probability --; Populations and samples --; Associations: Chance, Confounded or Causal? --; Examining associations --; Interpreting associations --; Associations due to chance --; Associations due to bias or confounding --; Causal associations --; Confidence Intervals: General Principles; Proportions, Means, Medians, Counts and Rates --; The normal distribution --; Sampling variation--proportions --; Confidence intervals for a proportion --; Sampling variation--means --; Confidence intervals for a mean --; Confidence intervals for a geometric mean --; Confidence intervals for a median --; Confidence intervals for a count or rate --; Hypothesis Testing: General Principles and One-sample Tests for Means, Proportions, Counts and Rates --; The null and alternative hypotheses --; The significance test --; Relationship with confidence intervals --; One-sided and two-sided tests --; General structure of a significance test: the one-sample z test for a mean --; Non-significant results and power: type I errors, type II errors and sample size --; The one-sample t test for a mean --; The one-sample z test for a proportion --; The one-sample x[superscript 2] test for many proportions --; The one-sample z test for counts or rates UR - https://doi.org/10.1002/9780470696750 ER -