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A user with 305 edits. Account created on 21 March 2025.
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30 March 2025

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27 March 2025

  • 23:5023:50, 27 March 2025 diff hist +4,441 N Missing data Created page with "= Missing data = Missing data in RCTs can compromise the integrity of trial results. It can introduce bias, reduce statistical power, and threaten the overall validity of the conclusions if not appropriately handled. == Impact of Missing Data == Missing data can bias results if its occurrence is related to treatment or outcomes, reduce the trial’s statistical power by decreasing the effective sample size, and undermine the validity of findings when not addressed with..."
  • 23:4223:42, 27 March 2025 diff hist +5,837 N Data management plan (DMP) Created page with "== Data Management Plan (DMP) == A Data Management Plan (DMP) outlines how data will be collected, stored, processed, analyzed, and shared throughout an RCT. A well-structured DMP ensures data integrity, security, compliance, and reproducibility. === 1. Key Components of a Data Management Plan (DMP) === ==== A. Study Overview ==== * '''Title''': Full name of the RCT. * '''Principal Investigator (PI)''': Name, institution, contact details. * '''Study Objectives''': Sum..."
  • 23:3423:34, 27 March 2025 diff hist −40 Database creation Database Creation for Randomized Controlled Trials (RCTs)
  • 23:3423:34, 27 March 2025 diff hist +5,406 N Database creation Created page with "= Database Creation for Randomized Controlled Trials (RCTs) = A well-designed database is fundamental to the success of any RCT. It ensures reliable data collection, secure storage, efficient management, and regulatory compliance. Proper database planning also supports accurate analysis and valid trial conclusions. == 1. Key Considerations Before Database Creation == Before building the database, trial teams should assess the trial design, outcome variables, and timel..."
  • 23:2923:29, 27 March 2025 diff hist +5,399 N Patient and public involvement Created page with "= Patient and Public Involvement = Patient and Public Involvement (PPI) in RCTs refers to the active engagement of patients, caregivers, and members of the public throughout the research process—not just as participants, but as partners. Involving patients can improve study design, enhance relevance, and strengthen recruitment, retention, and dissemination of findings. == 1. Levels of Patient Involvement == PPI can occur at different levels of intensity and engageme..."
  • 23:2223:22, 27 March 2025 diff hist +4,677 N Budgeting Created page with "= Budgeting for Randomized Controlled Trials (RCTs) = Budgeting for a Randomized Controlled Trial (RCT) requires careful planning to ensure that all necessary resources are accounted for while optimizing efficiency. A well-prepared budget supports the trial’s feasibility, transparency, and funding competitiveness. == 1. Key Budget Categories == === A. Personnel Costs === Personnel often represent the largest portion of an RCT budget. Salaries should be calculated b..."
  • 23:1323:13, 27 March 2025 diff hist +5,979 N Challenges and limitations Created page with "= Challenges and Limitations of Randomized Controlled Trials (RCTs) = Randomized Controlled Trials (RCTs) are considered the gold standard for evaluating the efficacy and safety of interventions. However, despite their methodological strengths, RCTs come with several challenges that can affect their feasibility, ethical soundness, and real-world applicability. == Ethical and Practical Challenges == RCTs often raise ethical questions, especially when withholding a pote..."
  • 23:0823:08, 27 March 2025 diff hist +3,588 N Clinical versus statistical significance Created page with "= Clinical significance vs. statistical significance = In Randomized Controlled Trials (RCTs), interpreting results requires understanding both '''statistical significance''' and '''clinical significance'''. While they are related, they address different questions: one about the likelihood of an effect being real, and the other about whether that effect matters in practice. == 1. Statistical Significance == '''Definition:''' Statistical significance tests whether an o..."
  • 22:2222:22, 27 March 2025 diff hist 0 Sensitivity analysis No edit summary
  • 22:2122:21, 27 March 2025 diff hist +10 Sensitivity analysis No edit summary
  • 22:2022:20, 27 March 2025 diff hist +3,691 N Sensitivity analysis Created page with "= Sensitivity Analysis = '''Sensitivity analysis''' is a statistical technique used in RCTs to test the robustness of study findings by assessing how results change under different assumptions, data handling methods, or analytical strategies. It helps determine whether the trial’s conclusions remain valid when alternative scenarios are considered. == Objectives of Sensitivity Analysis == 1. '''Assess Robustness''': Test whether the main findings are stable under var..."
  • 22:1222:12, 27 March 2025 diff hist +3,206 N Subgroup analysis Created page with "= Subgroup analysis = '''Subgroup analysis''' in RCTs explores whether treatment effects differ across specific patient groups—such as by age, sex, or disease severity. While such analyses can provide insight into effect heterogeneity, they must be conducted and interpreted carefully to avoid false or misleading conclusions. == 1. When to Conduct Subgroup Analysis == * '''Pre-specified vs. Post-hoc''': Pre-specified subgroup analyses—planned before data collection..."
  • 22:0322:03, 27 March 2025 diff hist +3,196 N Per-protocol analysis Created page with "= Per-Protocol (PP) Analysis = '''Per-Protocol (PP) Analysis''' evaluates the effect of an intervention among participants who fully adhered to the assigned treatment protocol. In contrast to Intention-to-Treat (ITT) analysis, which includes all randomized participants regardless of adherence, PP analysis estimates the efficacy of an intervention under ideal conditions. == 1. When to Use Per-Protocol Analysis == PP analysis is particularly useful in specific scenarios..."
  • 21:5821:58, 27 March 2025 diff hist +3,721 N Intention-to-treat analysis Created page with "= Intention-to-Treat (ITT) Analysis = '''Intention-to-Treat (ITT) Analysis''' is a fundamental principle in the analysis of randomized controlled trials (RCTs). It ensures that all participants are analyzed in the group to which they were originally randomized, regardless of their adherence to the intervention, withdrawal, or deviations from the protocol. ITT is widely regarded as the gold standard approach for preserving the benefits of randomization and minimizing bia..."
  • 21:3821:38, 27 March 2025 diff hist −24 Analysis No edit summary
  • 21:3721:37, 27 March 2025 diff hist +4,476 N Analysis Created page with "= Analysis of trials = When planning the analysis of a Randomized Controlled Trial (RCT), several key considerations must be taken into account to ensure the results are robust, valid, and reliable. Below are the main factors to consider: == 1. Defining the Research Question & Hypothesis == * Clearly state the primary objective and hypothesis (e.g., superiority, non-inferiority, or equivalence). * Specify secondary outcomes and exploratory analyses. == 2. Study Design..."
  • 21:2721:27, 27 March 2025 diff hist +5,462 N Qualitative data Created page with "= Incorporating Qualitative Data in Randomized Controlled Trials (RCTs) = Integrating '''qualitative data''' into Randomized Controlled Trials (RCTs) enhances understanding of how and why interventions work—or fail to work—by examining participant experiences, implementation challenges, and contextual influences. This mixed-methods approach complements quantitative findings and strengthens trial design, interpretation, and applicability in real-world settings. == 1..."
  • 21:2121:21, 27 March 2025 diff hist +5,615 N Expertise-based trials Created page with "= Expertise-Based Randomized Controlled Trials (EBRCTs) = An '''expertise-based randomized controlled trial (EBRCT)''' is a trial design where participants are randomized to treatment groups based on the expertise of the clinician delivering the intervention. Unlike traditional RCTs—where the same clinicians may deliver multiple treatments—EBRCTs assign participants to clinicians who specialize in only one of the interventions. This approach is particularly useful i..."
  • 18:0718:07, 27 March 2025 diff hist 0 Main Page No edit summary
  • 18:0618:06, 27 March 2025 diff hist −8 Main Page No edit summary
  • 18:0418:04, 27 March 2025 diff hist 0 Main Page No edit summary
  • 17:5917:59, 27 March 2025 diff hist +4,849 N Sample size Created page with "= Sample size = Determining an appropriate sample size is a critical step in designing a randomized controlled trial (RCT). A well-calculated sample size ensures that the study has sufficient statistical power to detect a clinically meaningful effect, while also considering ethical, financial, and logistical constraints. This page outlines the main factors influencing sample size decisions in RCTs. == Statistical Considerations == Sample size determination starts with..."
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