Advanced Issues in CR
in preparation. For suggestions, contact sergio.uribe@rsu.lv
Advanced Issues in Clinical Research
How many patients?
Jones SR, Carley S and Harrison M (2003) An introduction to power and sample size estimation. Emergency medicine journal: EMJ 20(5): 453–458.
Cook JA, Julious SA, Sones W, et al. (2018) DELTA2 guidance on choosing the target difference and undertaking and reporting the sample size calculation for a randomised controlled trial. BMJ 363: k3750.
Cook JA, Julious SA, Sones W, et al. (2017) Choosing the target difference (’effect size') for a randomised controlled trial - DELTA2 guidance protocol. Trials 18(1): 271.
Small trials: Althouse AD, Yabes JG and Abebe KZ (2021) Issues in designing and interpreting small clinical trials. The Canadian journal of cardiology. Elsevier BV. DOI: 10.1016/j.cjca.2021.03.013.
Bias
Flanagin A, Frey T, Christiansen SL, et al. (2021) The Reporting of Race and Ethnicity in Medical and Science Journals: Comments Invited. JAMA: the journal of the American Medical Association 325(11): 1049–1052.
The analysis of the data from clinical trials
The essential: Exploratory Data analysis. Check for the "Mastering your data" course from the Doctoral School RSU and r4ds
Bayesian analysis of clinical trials
Frequentist analysis of clinical trials
R package for the statistical report of clinical trials: hreport, gtsummary
Repeated measures
Guo Y, Logan HL, Glueck DH, et al. (2013) Selecting a sample size for studies with repeated measures. BMC medical research methodology 13(1): 100.
Dealing with missing data
Donders ART, van der Heijden GJMG, Stijnen T, et al. (2006) Review: a gentle introduction to imputation of missing values. Journal of clinical epidemiology 59(10): 1087–1091.
Little RJ, D’Agostino R, Cohen ML, et al. (2012) The Prevention and Treatment of Missing Data in Clinical Trials. The New England journal of medicine 367(14): 1355–1360.
Groenwold RHH, Donders ART, Roes KCB, et al. (2012) Dealing with missing outcome data in randomized trials and observational studies. American journal of epidemiology 175(3): 210–217.
Survival analysis
Bewick V, Cheek L and Ball J (2004) Statistics review 12: survival analysis. Critical care / the Society of Critical Care Medicine 8(5): 389–394.
Personalized Medicine and Adaptative Clinical trials
Pallmann P, Bedding AW, Choodari-Oskooei B, et al. (2018) Adaptive designs in clinical trials: why use them, and how to run and report them. BMC medicine 16(1): 29.
Garralda E, Dienstmann R, Piris-Giménez A, et al. (2019) New clinical trial designs in the era of precision medicine. Molecular oncology 13(3): 549–557.
Razzouk S and Termechi O (2013) Host genome, epigenome, and oral microbiome interactions: toward personalized periodontal therapy. Journal of periodontology 84(9): 1266–1271.
Kent DM, Steyerberg E and van Klaveren D (2018) Personalized evidence based medicine: predictive approaches to heterogeneous treatment effects. BMJ 363: k4245.
Predictive and Prognostic modelling
Prediction Research Janssens
Hemingway H, Croft P, Perel P, et al. (2013) Prognosis research strategy (PROGRESS) 1: a framework for researching clinical outcomes. BMJ 346: e5595.
Riley RD, Hayden JA, Steyerberg EW, et al. (2013) Prognosis Research Strategy (PROGRESS) 2: prognostic factor research. PLoS medicine 10(2): e1001380.
Steyerberg EW, Moons KGM, van der Windt DA, et al. (2013) Prognosis Research Strategy (PROGRESS) 3: prognostic model research. PLoS medicine 10(2): e1001381.
Hingorani AD, Windt DA van der, Riley RD, et al. (2013) Prognosis research strategy (PROGRESS) 4: stratified medicine research. BMJ 346: e5793.
Rules for interim analysis
Schulz KF and Grimes DA (2005) 20 Multiplicity in randomised trials II: subgroup and interim analyses. The Lancet 365(9471): 1657–1661.
Pilot and feasibility trials
Lancaster GA and Thabane L (2019) Guidelines for reporting non-randomised pilot and feasibility studies. Pilot and feasibility studies 5: 114.
Lancaster GA, Dodd S and Williamson PR (2004) Design and analysis of pilot studies: recommendations for good practice. Journal of evaluation in clinical practice 10(2): 307–312.
Moore CG, Carter RE, Nietert PJ, et al. (2011) Recommendations for planning pilot studies in clinical and translational research. Clinical and translational science 4(5): 332–337.
Harms
Phillips R, Cro S, Wheeler G, Bond S, Morris TP, Creanor S, et al. Visualising harms in publications of randomised controlled trials: consensus and recommendations. BMJ. 2022;377:e068983.
Other issues
Institute of Medicine (US) Roundtable on Value & Science-Driven Health Care (2011) Redesigning the Clinical Effectiveness Research Paradigm: Innovation and Practice-Based Approaches: Workshop Summary (L Olsen and JM McGinniseds ). Washington (DC): National Academies Press (US).
Del Paggio JC, Berry JS, Hopman WM, et al. (2021) Evolution of the Randomized Clinical Trial in the Era of Precision Oncology. JAMA Oncology. DOI: 10.1001/jamaoncol.2021.0379.
Clinical National Trials, see https://www.recoverytrial.net/
Stats & Design issues
Stats issues
Causal Directed Acyclic Graphs
Use of Confidence Intervals in Interpreting Nonstatistically Significant Results
Interim Analyses During Group Sequential Clinical Trials
Estimands, Estimators, and Estimates
Adjusting for Nonadherence or Stopping Treatments in Randomized Clinical Trials
Immortal Time Bias in Observational Studies
Estimating Risk Ratios and Risk Differences: Alternatives to Odds Ratios
Use of Run-in Periods in Randomized Trials
Nonparametric Statistical Analysis
Practical Guide to Assessment of Patient-Reported Outcomes
When Can Intermediate Outcomes Be Used as Surrogate Outcomes?
Using Instrumental Variables to Address Bias From Unobserved Confounders
Number Needed to Treat: Conveying the Likelihood of a Therapeutic Effect
Odds Ratios—Current Best Practice and Use
The Stepped-Wedge Clinical Trial: Evaluation by Rolling Deployment
The “Utility” in Composite Outcome Measures: Measuring What Is Important to Patients
Logistic Regression Diagnostics: Understanding How Well a Model Predicts Outcomes
Equipoise in Research: Integrating Ethics and Science in Human Research
Pragmatic Trials: Practical Answers to “Real World” Questions
Logistic Regression: Relating Patient Characteristics to Outcomes
Analyzing Repeated Measurements Using Mixed Models
Noninferiority Trials: Is a New Treatment Almost as Effective as Another?
Cluster Randomized Trials: Evaluating Treatments Applied to Groups
Minimal Clinically Important Difference: Defining What Really Matters to Patients
The Intention-to-Treat Principle: How to Assess the True Effect of Choosing a Medical Treatment