Biostatistics for Medical and Biomedical Practitioners

Clinical trials Meta-analysis Statistical hypothesis testing Contingency tables Combinations Central limit theorem Placebo Effect Influence Counting Resampling (Statistics) Crossover trials Heteroscedasticity Statistics Permutations Sequential analysis Competing risks Negative binomial distribution Dƒeviance Sample Size Poisson distribution Sensitivity Linear regression Goodness-of-fit Missing data Binomial Theorem Conditional probability Log-rank test Significance Monte Carlo methods Adaptive methods Multiple Regression Operators Categorical Data Linear combinations Logistic regression Bootstrap Partial correlation Scientific study Control charts Specificity Statistical Programs Statistical Formulas Random Sampling Leverage Power analysis Skewness Likelihood ratios Odds Ratio Median Distributions Dose-response Multiple Comparisons Outliers Friedman-Test Statistical approaches Correlation Accuracy and precision Standard deviation Jackknife Basic Definitions Nonlinear regression Effect size Extreme Values Interaction Kurtosis Robust methods Polynomial regression Null hypothesis Proportions Histograms Homogeneity of variance Kappa Additivity Actuarial method Additive versus multiplicative models Analysis of variance (ANOVA)Effect size All subsets regression Best regression Backward selection A priori versus a posteriori tests Bonferroni correction and equivalent tests Chi-square distribution Coefficient of variation Bayes' Bernoulli formula Cochrane's Q test Attributable risk Comparing coefficients of variation Concordance between reviewers Comparing means of two Poisson distributions Binomial and multinomial distributions Dealing with outliers Determining normality Cox proportional hazards regression Dummy or indicator variables Cutting points Break points Detecting overdispersion Continuity correction exploratory analysis Distribution shapes Cohort versus cross-sectional studies Distribution in statistics Forest graphs Cochran�Mantel�Haenszel test Forward Selection Errors in X variate Excess zeros Comparing proportions Confidence Limits Funnel plots Hazard ratio Cumulative Probability Cumulative probabilities Cumulative sum methods Data Sets Grubb's test Inverse prediction Intraclass correlation Hypergeometric distribution Equivalence testing Kolmogorov�Smirnov tests Larger R�c tables Mann�Whitney U test interquartile distance)Propagation of errors Exponential distribution Longitudinal regression mode)Measures of variability (range Explanatory Variables Extreme multiplicity and false discovery rates (FDRs)Group sequential boundaries Kriskal�Wallis test McNemar's test Measurement scales Logarithmic distribution Number needed to treat Gaussian curve Maximum likelihood and Bayes factor Mean absolute deviation Nested design repeated measures Non-inferiority testing O'Brien Fleming test Haybittle�Peto test Paired versus unpaired Historical controls Hazard Function poisson regression Post hoc power analysis QUINCUNX Planned experiments Ranking transforms Ratio measurements Robust tests Propensity analysis Resistant lines Kaplan�Meier curves Slippage and contamination Radial plots Rank von Neumann ratio Lan and de Mets procedure screening tests Stem-and-leaf diagrams residuals Relative Risk Sample size and power Spurious associations Spearman's test Spurious correlation Statistical thought Simpson's Paradox Kendall's test Statistical effectiveness Serial measurements Statistical notation Multidimensional tables Studentized Range Test L'Abbe plots Measures of central tendency (mean Multiple collinearity Repeated measures scientific investigation Quantal response Overdispersed distribution Ratios and scaling factors Statistical practices ROC curves Statistical misuse Scaling factors Statistical tests commonly used