Articles on Biostatistics

ARTICLES BY JOURNAL

STATISTICS NOTES FROM THE SMJ

Data Presentation Cluster Analysis Conjoint Analysis Canonical Correlation Correlational Analysis Discriminant Analysis Economic Evaluation Finding Evidence: Resources and Skills for Locating Information on Clinical Effectiveness Health Technology Assessment Linear Regression Analysis Log-Linear Models: Poisson Regression Logistic Regression Analysis Multinomial Logistic Regression Principal Component and Factor Analysis Qualitative Data – Tests of Independence Quantitative Data – Parametric & Non-Parametric Tests Randomised Controlled Trials (RCTs) - Essentials Randomised Controlled Trials (RCTs) – Sample Size: The Magic Number? Repeated Measurement Analysis Repeated Measurement Analysis (Mixed Models) Structural Equation Modelling Survival Analysis Systematic Reviews and Meta-Analysis

STATISTICS NOTES FROM THE BMJ Research Methods & Reporting

Population attributable fraction Percentage differences, symmetry, and natural logarithms What is a percentage difference? Inverse probability weighting Bootstrap resampling methods Uncertainty and sampling error Uncertainty beyond sampling error Statistics Notes: Missing outcomes in randomised trials Brackets (parentheses) in formulas How to obtain the P value from a confidence interval How to obtain the confidence interval from a P value Comparisons within randomised groups can be very misleading Correlation in restricted ranges of data

Education and debate

Standard deviations and standard errors Treatment allocation by minimisation Diagnostic tests 4: likelihood ratios The logrank test Interaction revisited: the difference between two estimates Validating scales and indexes Analysing controlled trials with baseline and follow up measurements Concealing treatment allocation in randomised trials Blinding in clinical trials and other studies The odds ratio How to randomise Treatment allocation in controlled trials: why randomise? Bayesians and frequentists Time to event (survival) data Generalisation and extrapolation The intracluster correlation coefficient in cluster randomisation Statistics notes: Sample size in cluster randomisation Weighted comparison of means Analysis of a trial randomised in clusters Trials randomised in clusters Statistics Notes: Detecting skewness from summary information Statistics Notes: Interaction 2: compare effect sizes not P values Statistics Notes: Measurement error Statistics Notes: Interaction 1: heterogeneity of effects Statistics Notes: Measurement error proportional to the mean Statistics Notes: Measurement error and correlation coefficients Statistics Notes: Comparing several groups using analysis of variance Statistics Notes: The use of transformation when comparing two means Statistics Notes: Transforming data Statistics Notes: Logarithms Statistics Notes: Presentation of numerical data Statistics Notes: Diagnostic tests 3: receiver operating characteristic plots Statistic Notes: Regression towards the mean

Practice

Analysis of continuous data from small samples Parametric v non-parametric methods for data analysis Missing data The cost of dichotomising continuous variables

General practice

Statistics notes: Variables and parameters Statistics Notes: Units of analysis Statistics notes: Cronbach's alpha Statistics notes: Interaction 3: How to examine heterogeneity Statistics notes: Calculating correlation coefficients with repeated observations: Part 1—correlation within subjects Multiple significance tests: the Bonferroni method Statistics notes: Matching Statistics Notes: Quartiles, quintiles, centiles, and other quantiles Statistics Notes: Some examples of regression towards the mean Statistics Notes: One and two sided tests of significance Statistics Notes: Diagnostic tests 2: predictive values Statistics Notes: Diagnostic tests 1: sensitivity and specificity

Clinical Review & Paper

Survival probabilities (the Kaplan-Meier method) Statistics notes: Transformations, means, and confidence intervals Statistics notes: Absence of evidence is not evidence of absence Calculating correlation coefficients with repeated observations: Part 2—correlation between subjects Statistics notes: The normal distribution Statistics Notes: Correlation, regression, and repeated data

JAMA Guide to Statistics and Methods

Practical Guide to Implementation Science  Practical Guide to Assessment of Patient-Reported Outcomes  Practical Guide to Decision Analysis  Practical Guide to Comparative Effectiveness Research Using Observational Data  Practical Guide to Survey Research Modeling Epidemics With Compartmental Models On Deep Learning for Medical Image Analysis  Using Instrumental Variables to Address Bias From Unobserved Confounders  Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies  Immortal Time Bias in Observational Studies  Case-Control Studies: Using “Real-world” Evidence to Assess Association  Sample Size Calculation for a Hypothesis Test  Guidelines for the Content of Statistical Analysis Plans in Clinical Trials  Randomization in Clinical Trials: Permuted Blocks and Stratification  Mendelian Randomization  Equipoise in Research: Integrating Ethics and Science in Human Research  The Intention-to-Treat Principle: How to Assess the True Effect of Choosing a Medical Treatment  Gatekeeping Strategies for Avoiding False-Positive Results in Clinical Trials With Many Comparisons  Multiple Comparison Procedures  Treatment Effects in Multicenter Randomized Clinical Trials  Cluster Randomized Trials: Evaluating Treatments Applied to Groups  The Stepped-Wedge Clinical Trial: Evaluation by Rolling Deployment  Adjusting for Nonadherence or Stopping Treatments in Randomized Clinical Trials  Use of Run-in Periods in Randomized Trials  When Can Intermediate Outcomes Be Used as Surrogate Outcomes?  The “Utility” in Composite Outcome Measures: Measuring What Is Important to Patients  Interpretation of Clinical Trials That Stopped Early  Pragmatic Trials: Practical Answers to “Real World” Questions  Noninferiority Trials: Is a New Treatment Almost as Effective as Another?  Evaluation of Evidence of Statistical Support and Corroboration of Subgroup Claims in Randomized Clinical Trials  Application of the Reverse Fragility Index to Statistically Nonsignificant Randomized Clinical Trial Results  Dose-Finding Trials: Optimizing Phase 2 Data in the Drug Development Process  Assessment of Long-term Follow-up of Randomized Trial Participants by Linkage to Routinely Collected Data: A Scoping Review and Analysis  Bayesian Analysis: Using Prior Information to Interpret the Results of Clinical Trials  Bayesian Hierarchical Models  Missing Data: How to Best Account for What Is Not Known  Multiple Imputation: A Flexible Tool for Handling Missing Data  Number Needed to Treat: Conveying the Likelihood of a Therapeutic Effect  Practical Guide to Cost-effectiveness Analysis  Overview of Cost-effectiveness Analysis  Choosing a Time Horizon in Cost and Cost-effectiveness Analyses  Practical Guide to Mixed Methods Analyzing Repeated Measurements Using Mixed Models  Odds Ratios—Current Best Practice and Use  Logistic Regression Diagnostics: Understanding How Well a Model Predicts Outcomes  Logistic Regression: Relating Patient Characteristics to Outcomes  Marginal Effects—Quantifying the Effect of Changes in Risk Factors in Logistic Regression Models  Regression Discontinuity Design  Estimating Risk Ratios and Risk Differences: Alternatives to Odds Ratios  Time-to-Event Analysis  Why Test for Proportional Hazards?  Minimal Clinically Important Difference: Defining What Really Matters to Patients  Using Free-Response Receiver Operating Characteristic Curves to Assess the Accuracy of Machine Diagnosis of Cancer  Evaluating Discrimination of Risk Prediction Models: The C Statistic Using Latent Class Analysis to Identify Hidden Clinical Phenotypes  Confounding by Indication in Clinical Research  The Propensity Score  Using Propensity Score Methods to Create Target Populations in Observational Clinical Research  Overlap Weighting: A Propensity Score Method That Mimics Attributes of a Randomized Clinical Trial  Mediation Analysis  Decision Curve Analysis  Practical Guide to Meta-analysis  Random-Effects Meta-analysis: Summarizing Evidence With Caveats  Nonparametric Statistical Analysis  Worst-Rank Score Methods—A Nonparametric Approach to Informatively Missing Data  Interpreting the ACC/AHA Clinical Practice Guideline Recommendation Classification System  Genome-Wide Association Studies  Practical Guide to Health Policy Evaluation Using Observational Data  Methods for Evaluating Changes in Health Care Policy: The Difference-in-Differences Approach  Explaining Health State Utility Assessment  Practical Guide to Qualitative Analysis  Assessment of Trends in the Design, Accrual, and Completion of Trials Registered in ClinicalTrials.gov by Sponsor Type, 2000-2019  Experimental Designs to Optimize Treatments for Individuals: Personalized N-of-1 Trials

Updated:: 19/01/2024 [khairun]