94 results on '"Morris, Tim P."'
Search Results
2. Accounting for bias due to outcome data missing not at random: comparison and illustration of two approaches to probabilistic bias analysis: a simulation study
3. Categorisation of continuous covariates for stratified randomisation: How should we adjust?
4. Editorial for the special collection “Towards neutral comparison studies in methodological research”
5. We must let the research question drive study methods
6. The estimands framework: a primer on the ICH E9(R1) addendum
7. Involving patients and the public In sTatistIcal Analysis pLans (INITIAL): A delphi survey
8. Simulation Studies for Methodological Research in Psychology: A Standardized Template for Planning, Preregistration, and Reporting
9. How to check a simulation study
10. Comment on Oberman & Vink: Should we fix or simulate the complete data in simulation studies evaluating missing data methods?
11. The marginality principle revisited: Should “higher‐order” terms always be accompanied by “lower‐order” terms in regression analyses?
12. A new approach to evaluating loop inconsistency in network meta‐analysis
13. Multiple Imputation and its Application 2e
14. Two‐stage or not two‐stage? That is the question for IPD meta‐analysis projects
15. Handling misclassified stratification variables in the analysis of randomised trials with continuous outcomes
16. A comparison of different population-level summary measures for randomised trials with time-to-event outcomes, with a focus on non-inferiority trials
17. artcat: Sample-size calculation for an ordered categorical outcome
18. How to check a simulation study
19. Behavioural intervention to reduce sexually transmitted infections in people aged 16–24 years in the UK: the safetxt RCT
20. Exploring the impact of selection bias in observational studies of COVID-19: a simulation study
21. Effectiveness of a behavioural intervention delivered by text messages (safetxt) on sexually transmitted reinfections in people aged 16-24 years: randomised controlled trial
22. It's time! Ten reasons to start replicating simulation studies
23. Estimands for factorial trials
24. Measuring the unknown: An estimator and simulation study for assessing case reporting during epidemics
25. Visualising harms in publications of randomised controlled trials: consensus and recommendations
26. Planning a method for covariate adjustment in individually randomised trials: a practical guide
27. Causal analyses of existing databases: the importance of understanding what can be achieved with your data before analysis (commentary on Hernán)
28. INTEREST: INteractive Tool for Exploring REsults from Simulation sTudies
29. Exploring selection bias in COVID-19 research: Simulations and prospective analyses of two UK cohort studies
30. Estimands in published protocols of randomised trials: urgent improvement needed
31. A comparison of methods for analyzing a binary composite endpoint with partially observed components in randomized controlled trials
32. Why restricted mean survival time methods are especially useful for non-inferiority trials
33. Current Practices in Missing Data Handling for Interrupted Time Series Studies Performed on Individual-Level Data: A Scoping Review in Health Research
34. Redressing the balance
35. It's time! 10 + 1 reasons we should start replicating simulation studies
36. The Two‐stage Approach to IPD Meta‐Analysis
37. Measuring the unknown: an estimator and simulation study for assessing case reporting during epidemics
38. Introduction to statistical simulations in health research
39. Analysis of multicenter clinical trials with very low event rates
40. Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data
41. Treatment estimands in clinical trials of patients hospitalised for COVID-19: ensuring trials ask the right questions
42. A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic
43. A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic
44. The Hazards of Period Specific and Weighted Hazard Ratios
45. A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic
46. A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic
47. How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review
48. Prediction meets causal inference: the role of treatment in clinical prediction models
49. Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide
50. One‐stage individual participant data meta‐analysis models for continuous and binary outcomes: Comparison of treatment coding options and estimation methods
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