research methods

meta-analysis Meta-analysis conduct and statistical methods survey Sample survey design, execution, and interpretation study interpretation Interpretation of particular study results research data management Research data management, including design of case report forms, software systems, training of personnel, and quality control measurement Definitions and refinements of measurements, information content in binary, multinomial, ordinal, and continuous measurements, scale derivation and meaning, composite scales, errors, and reliability. design study and experimental design, randomized or not
About the research methods category [research methods] (1)
Proofs of Nulls: P > 0.05 [study interpretation] (3)
Should the Neyman-Pearson lemma remain dominant in the health sciences? [research methods] (3)
Mixed vs Random Effects ICC [measurement] (7)
Language for communicating frequentist results about treatment effects ( 2 3 4 5 ) [study interpretation] (94)
When is testing superior to estimation? [study interpretation] (10)
Power and Sample Size Calculations in a "small" Cohort Study [research methods] (2)
How to display and tabulate interaction effects in a longitudinal model [study interpretation] (2)
Many Analysts, One Data Set – many conclusions [research methods] (12)
Should we ignore covariate imbalance and stop presenting a stratified 'table one' for randomized trials? ( 2 3 ) [research methods] (42)
Most reasonably hypothesised effects cannot be exactly zero? [study interpretation] (8)
Can this be a possible statistical solution for a mid-trial realization? [design] (9)
Computing Information Loss [study interpretation] (3)
Detecting clinical transition states in time series matrix data [research methods] (4)
Protocol deviation and its impact on stat analysis [design] (9)
Disentangling Competing Risks with and without Endogeneity [research methods] (2)
Nosek et al paper [research methods] (19)
Problems with NNT ( 2 ) [study interpretation] (22)
Examples of clinical prediction rules which perform better without dichotomisations ( 2 ) [research methods] (33)
Propensity score methods vs Penalized regression ( 2 ) [design] (23)
Publications explaining why automated variable selection procedures produce biased results [research methods] (7)
Precision as the goal for sample size estimation [design] (11)
Power and Sample Size Calculations in Pilot Studies [design] (7)
Health care experiences that altered your perspective on biostatistical ethics? [design] (2)
The role of simulation in developing analysis plans [design] (8)
Validation of a questionnaire [survey] (2)
What to interpret when observed effect size is smaller but statistically significant than expected effect size [study interpretation] (17)
How might we use Bayesian priors in observational studies of drug safety? [design] (2)
What is an adequate `pilot` study leading to a stepped-wedge cluster randomized trial [design] (1)
What are credible priors and what are skeptical priors? [study interpretation] (20)